{"type": "FeatureCollection", "features": [{"id": "10.1002/2015gb005239", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:13:58Z", "type": "Journal Article", "created": "2015-12-19", "title": "Toward More Realistic Projections Of Soil Carbon Dynamics By Earth System Models", "description": "Abstract<p>Soil carbon (C) is a critical component of Earth system models (ESMs), and its diverse representations are a major source of the large spread across models in the terrestrial C sink from the third to fifth assessment reports of the Intergovernmental Panel on Climate Change (IPCC). Improving soil C projections is of a high priority for Earth system modeling in the future IPCC and other assessments. To achieve this goal, we suggest that (1) model structures should reflect real\uffe2\uff80\uff90world processes, (2) parameters should be calibrated to match model outputs with observations, and (3) external forcing variables should accurately prescribe the environmental conditions that soils experience. First, most soil C cycle models simulate C input from litter production and C release through decomposition. The latter process has traditionally been represented by first\uffe2\uff80\uff90order decay functions, regulated primarily by temperature, moisture, litter quality, and soil texture. While this formulation well captures macroscopic soil organic C (SOC) dynamics, better understanding is needed of their underlying mechanisms as related to microbial processes, depth\uffe2\uff80\uff90dependent environmental controls, and other processes that strongly affect soil C dynamics. Second, incomplete use of observations in model parameterization is a major cause of bias in soil C projections from ESMs. Optimal parameter calibration with both pool\uffe2\uff80\uff90 and flux\uffe2\uff80\uff90based data sets through data assimilation is among the highest priorities for near\uffe2\uff80\uff90term research to reduce biases among ESMs. Third, external variables are represented inconsistently among ESMs, leading to differences in modeled soil C dynamics. We recommend the implementation of traceability analyses to identify how external variables and model parameterizations influence SOC dynamics in different ESMs. Overall, projections of the terrestrial C sink can be substantially improved when reliable data sets are available to select the most representative model structure, constrain parameters, and prescribe forcing fields.</p>", "keywords": ["550", "LAND MODELS", "Oceanography", "HETEROTROPHIC RESPIRATION", "01 natural sciences", "Atmospheric Sciences", "LITTER DECOMPOSITION", "ORGANIC-CARBON", "Geoinformatics", "GLOBAL CLIMATE-CHANGE", "DATA-ASSIMILATION", "Meteorology & Atmospheric Sciences", "TEMPERATURE SENSITIVITY", "CMIP5", "MICROBIAL MODELS", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "500", "Earth system models", "04 agricultural and veterinary sciences", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "TERRESTRIAL ECOSYSTEMS", "Climate Action", "Geochemistry", "Climate change impacts and adaptation", "realistic projections", "13. Climate action", "recommendations", "Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "soil carbon dynamics", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Climate Change Impacts and Adaptation", "Environmental Sciences", "PARAMETER-ESTIMATION"]}, "links": [{"href": "https://escholarship.org/content/qt1pw7g2r2/qt1pw7g2r2.pdf"}, {"href": "https://doi.org/10.1002/2015gb005239"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Biogeochemical%20Cycles", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2015gb005239", "name": "item", "description": "10.1002/2015gb005239", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2015gb005239"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.1002/ecy.2199", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:02Z", "type": "Journal Article", "created": "2018-02-27", "title": "Temperature and aridity regulate spatial variability of soil multifunctionality in drylands across the globe", "description": "Abstract<p>The relationship between the spatial variability of soil multifunctionality (i.e., the capacity of soils to conduct multiple functions; SVM) and major climatic drivers, such as temperature and aridity, has never been assessed globally in terrestrial ecosystems. We surveyed 236 dryland ecosystems from six continents to evaluate the relative importance of aridity and mean annual temperature, and of other abiotic (e.g., texture) and biotic (e.g., plant cover) variables as drivers of SVM, calculated as the averaged coefficient of variation for multiple soil variables linked to nutrient stocks and cycling. We found that increases in temperature and aridity were globally correlated to increases in SVM. Some of these climatic effects on SVM were direct, but others were indirectly driven through reductions in the number of vegetation patches and increases in soil sand content. The predictive capacity of our structural equation\uffc2\uffa0modelling was clearly higher for the spatial variability of N\uffe2\uff80\uff90 than for C\uffe2\uff80\uff90 and P\uffe2\uff80\uff90related soil variables. In the case of N cycling, the effects of temperature and aridity were both direct and indirect via changes in soil properties. For C and P, the effect of climate was mainly indirect via changes in plant attributes. These results suggest that future changes in climate may decouple the spatial availability of these elements for plants and microbes in dryland soils. Our findings significantly advance our understanding of the patterns and mechanisms driving SVM in drylands across the globe, which is critical for predicting changes in ecosystem functioning in response to climate change.</p", "keywords": ["Abiotic component", "Atmospheric sciences", "Physical geography", "Arid", "Climate Change", "Soil Science", "Spatial variability", "Environmental science", "Agricultural and Biological Sciences", "Soil", "Biodiversity Conservation and Ecosystem Management", "Soil texture", "Aridity index", "XXXXXX - Unknown", "Soil water", "FOS: Mathematics", "Pathology", "Climate change", "Biology", "Ecosystem", "Nature and Landscape Conservation", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Soil Fertility", "Ecology", "Geography", "Global Forest Drought Response and Climate Change", "Statistics", "Temperature", "Life Sciences", "Cycling", "Geology", "FOS: Earth and related environmental sciences", "04 agricultural and veterinary sciences", "Plants", "15. Life on land", "Archaeology", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Ecosystem Functioning", "Vegetation (pathology)", "Mathematics", "carbon cycling; climate change; multifunctionality; nitrogen cycling; phosphorous cycling; spatial heterogeneity"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/128150/8/Dur-n_et_al-2018-Ecology.pdf"}, {"href": "https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.2199"}, {"href": "https://doi.org/10.1002/ecy.2199"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/ecy.2199", "name": "item", "description": "10.1002/ecy.2199", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ecy.2199"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-05-01T00:00:00Z"}}, {"id": "10.1002/lom3.10364", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:08Z", "type": "Journal Article", "created": "2020-06-05", "title": "An international laboratory comparison of dissolved organic matter composition by high resolution mass spectrometry: Are we getting the same answer?", "description": "Abstract<p>High\uffe2\uff80\uff90resolution mass spectrometry (HRMS) has become a vital tool for dissolved organic matter (DOM) characterization. The upward trend in HRMS analysis of DOM presents challenges in data comparison and interpretation among laboratories operating instruments with differing performance and user operating conditions. It is therefore essential that the community establishes metric ranges and compositional trends for data comparison with reference samples so that data can be robustly compared among research groups. To this end, four identically prepared DOM samples were each measured by 16 laboratories, using 17 commercially purchased instruments, using positive\uffe2\uff80\uff90ion and negative\uffe2\uff80\uff90ion mode electrospray ionization (ESI) HRMS analyses. The instruments identified ~1000 common ions in both negative\uffe2\uff80\uff90 and positive\uffe2\uff80\uff90ion modes over a wide range of m/z values and chemical space, as determined by van Krevelen diagrams. Calculated metrics of abundance\uffe2\uff80\uff90weighted average indices (H/C, O/C, aromaticity, and m/z) of the commonly detected ions showed that hydrogen saturation and aromaticity were consistent for each reference sample across the instruments, while average mass and oxygenation were more affected by differences in instrument type and settings. In this paper we present 32 metric values for future benchmarking. The metric values were obtained for the four different parameters from four samples in two ionization modes and can be used in future work to evaluate the performance of HRMS instruments.</p", "keywords": ["STRUCTURAL-CHARACTERIZATION", "ELECTROSPRAY-IONIZATION", "PONY LAKE", "550", "FTICR-MS", "Characterization", "Pony lake", "Marine Biology", "Oceanografi", " hydrologi och vattenresurser", "01 natural sciences", "Electrospray ionization", "River sediments", "Oceanography", " Hydrology and Water Resources", "Compostos org\u00e0nics", "[CHIM] Chemical Sciences", "Organic compounds", "RIVER", "Atmospheric pressure photoionization", "[CHIM]Chemical Sciences", "MOLECULAR CHARACTERIZATION", "0105 earth and related environmental sciences", "River", "Marine", "Fulvic acids", "Sediments fluvials", "Molecular", "ESI-MS", "Oceanography and Atmospheric Sciences and Meteorology", "Structural characterization", "620", "0104 chemical sciences", "FULVIC-ACIDS", "13. Climate action", "ATMOSPHERIC-PRESSURE PHOTOIONIZATION", "MARINE", "Fresh Water Studies"]}, "links": [{"href": "https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10364"}, {"href": "https://digitalcommons.odu.edu/context/chemistry_fac_pubs/article/1185/viewcontent/Hatcher_2020_AnInternationalLaboratoryComparisonofDissolvedOCR.pdf"}, {"href": "https://doi.org/10.1002/lom3.10364"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Limnology%20and%20Oceanography%3A%20Methods", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/lom3.10364", "name": "item", "description": "10.1002/lom3.10364", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/lom3.10364"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-01T00:00:00Z"}}, {"id": "10.1007/s10533-023-01091-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:45Z", "type": "Journal Article", "created": "2023-10-15", "title": "Global observation gaps of peatland greenhouse gas balances: needs and obstacles", "description": "Abstract           <p>Greenhouse gas (GHGs) emissions from peatlands contribute significantly to ongoing climate change because of human land use. To develop reliable and comprehensive estimates and predictions of GHG emissions from peatlands, it is necessary to have GHG observations, including carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), that cover different peatland types globally. We synthesize published peatland studies with field GHG flux measurements to identify gaps in observations and suggest directions for future research. Although GHG flux measurements have been conducted at numerous sites globally, substantial gaps remain in current observations, encompassing various peatland types, regions and GHGs. Generally, there is a pressing need for additional GHG observations in Africa, Latin America and the Caribbean regions. Despite widespread measurements of CO2 and CH4, studies quantifying N2O emissions from peatlands are scarce, particularly in natural ecosystems. To expand the global coverage of peatland data, it is crucial to conduct more eddy covariance observations for long-term monitoring. Automated chambers are preferable for plot-scale observations to produce high temporal resolution data; however, traditional field campaigns with manual chamber measurements remain necessary, particularly in remote areas. To ensure that the data can be further used for modeling purposes, we suggest that chamber campaigns should be conducted at least monthly for a minimum duration of one year with no fewer than three replicates and measure key environmental variables. In addition, further studies are needed in restored peatlands, focusing on identifying the most effective restoration approaches for different ecosystem types, conditions, climates, and land use histories.</p", "keywords": ["570", "Atmospheric sciences", "Carbon Dynamics in Peatland Ecosystems", "Eddy covariance", "Greenhouse gas", "01 natural sciences", "Article", "Environmental science", "Methane Emissions", "Impact of Climate Change on Forest Wildfires", "Importance of Mangrove Ecosystems in Coastal Protection", "11. Sustainability", "greenhouse gases", "Climate change", "Biology", "peatlands", "Ecosystem", "Land use", " land-use change and forestry", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Global and Planetary Change", "Ecology", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Peat", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "carbon sequestration", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Global Emissions", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Land use", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://doi.org/10.1007/s10533-023-01091-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10533-023-01091-2", "name": "item", "description": "10.1007/s10533-023-01091-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10533-023-01091-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-15T00:00:00Z"}}, {"id": "10.1007/s11027-020-09916-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:51Z", "type": "Journal Article", "created": "2020-06-22", "title": "The effect of crop residues, cover crops, manures and nitrogen fertilization on soil organic carbon changes in agroecosystems: a synthesis of reviews", "description": "Abstract<p>International initiatives are emphasizing the capture of atmospheric CO2 in soil organic C (SOC) to reduce the climatic footprint from agroecosystems. One approach to quantify the contribution of management practices towards that goal is through analysis of long-term experiments (LTEs). Our objectives were to analyze knowledge gained in literature reviews on SOC changes in LTEs, to evaluate the results regarding interactions with pedo-climatological factors, and to discuss disparities among reviews in data selection criteria. We summarized mean response ratios (RRs) and stock change rate (SCR) effect size indices from twenty reviews using paired comparisons (N). The highest RRs were found with manure applications (30%, N\uffe2\uff80\uff89=\uffe2\uff80\uff89418), followed by aboveground crop residue retention and the use of cover crops (9\uffe2\uff80\uff9310%, N\uffe2\uff80\uff89=\uffe2\uff80\uff89995 and 129), while the effect of nitrogen fertilization was lowest (6%, N\uffe2\uff80\uff89=\uffe2\uff80\uff89846). SCR for nitrogen fertilization exceeded that for aboveground crop residue retention (233 versus 117\uffc2\uffa0kg\uffc2\uffa0C\uffc2\uffa0ha\uffe2\uff88\uff921\uffc2\uffa0year\uffe2\uff88\uff921, N\uffe2\uff80\uff89=\uffe2\uff80\uff89183 and 279) and was highest for manure applications and cover crops (409 and 331\uffc2\uffa0kg\uffc2\uffa0C\uffc2\uffa0ha\uffe2\uff88\uff921\uffc2\uffa0year\uffe2\uff88\uff921, N\uffe2\uff80\uff89=\uffe2\uff80\uff89217 and 176). When data allows, we recommend calculating both RR and SCR because it improves the interpretation. Our synthesis shows that results are not always consistent among reviews and that interaction with texture and climate remain inconclusive. Selection criteria for study durations are highly variable, resulting in irregular conclusions for the effect of time on changes in SOC. We also discuss the relationships of SOC changes with yield and cropping systems, as well as conceptual problems when scaling-up results obtained from field studies to regional levels.</p", "keywords": ["Carbon sequestration", "DYNAMICS", "Management practices", "Environmental Sciences & Ecology", "SEQUESTRATION", "4104 Environmental management", "Stock change rates", "MANAGEMENT", "STOCKS", "Meteorology & Atmospheric Sciences", "AGRICULTURAL SOILS", "0502 Environmental Science and Management", "S Agriculture (General)", "Agricultural Science", "METAANALYSIS", "TILLAGE", "2. Zero hunger", "Science & Technology", "CLIMATE-CHANGE", "Soil organic carbon", "Relative response ratio", "04 agricultural and veterinary sciences", "15. Life on land", "LONG", "Meta-analysis", "0501 Ecological Applications", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Life Sciences & Biomedicine", "MATTER", "Environmental Sciences"]}, "links": [{"href": "https://pub.epsilon.slu.se/17675/1/bolinder_m_a_et_al_200930.pdf"}, {"href": "https://link.springer.com/content/pdf/10.1007/s11027-020-09916-3.pdf"}, {"href": "https://rau.repository.guildhe.ac.uk/id/eprint/16409/1/Bolinder2020_Article_TheEffectOfCropResiduesCoverCr.pdf"}, {"href": "https://doi.org/10.1007/s11027-020-09916-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Mitigation%20and%20Adaptation%20Strategies%20for%20Global%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11027-020-09916-3", "name": "item", "description": "10.1007/s11027-020-09916-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11027-020-09916-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-22T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2021.152880", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:41Z", "type": "Journal Article", "created": "2022-01-06", "title": "Exploring the potential role of environmental and multi-source satellite data in crop yield prediction across Northeast China", "description": "Open AccessLe d\u00e9veloppement d'un syst\u00e8me pr\u00e9cis de pr\u00e9diction du rendement des cultures \u00e0 grande \u00e9chelle est d'une importance primordiale pour la gestion des ressources agricoles et la s\u00e9curit\u00e9 alimentaire mondiale. L'observation de la Terre fournit une source unique d'informations pour surveiller les cultures \u00e0 partir d'une diversit\u00e9 de gammes spectrales. Cependant, l'utilisation int\u00e9gr\u00e9e de ces donn\u00e9es et de leurs valeurs dans la pr\u00e9diction du rendement des cultures est encore peu \u00e9tudi\u00e9e. Ici, nous avons propos\u00e9 la combinaison de donn\u00e9es environnementales (climat, sol, g\u00e9ographie et topographie) avec de multiples donn\u00e9es satellitaires (indices de v\u00e9g\u00e9tation optiques, fluorescence induite par le soleil (SIF), temp\u00e9rature de surface du sol (LST) et profondeur optique de la v\u00e9g\u00e9tation micro-ondes (VOD)) dans le cadre pour estimer le rendement des cultures de ma\u00efs, de riz et de soja dans le nord-est de la Chine, et leur valeur unique et leur influence relative sur la pr\u00e9diction du rendement ont \u00e9t\u00e9 \u00e9valu\u00e9es. Deux m\u00e9thodes de r\u00e9gression lin\u00e9aire, trois m\u00e9thodes d'apprentissage automatique (ML) et un mod\u00e8le d'ensemble ML ont \u00e9t\u00e9 adopt\u00e9s pour construire des mod\u00e8les de pr\u00e9diction de rendement. Les r\u00e9sultats ont montr\u00e9 que les m\u00e9thodes individuelles de ML surpassaient les m\u00e9thodes de r\u00e9gression lin\u00e9aire, le mod\u00e8le d'ensemble de ML a encore am\u00e9lior\u00e9 les mod\u00e8les de ML uniques. De plus, les mod\u00e8les avec plus d'intrants ont obtenu de meilleures performances, la combinaison de donn\u00e9es satellitaires avec des donn\u00e9es environnementales, qui expliquaient respectivement 72\u00a0%, 69\u00a0% et 57\u00a0% de la variabilit\u00e9 du rendement du ma\u00efs, du riz et du soja, a d\u00e9montr\u00e9 des performances de pr\u00e9diction du rendement sup\u00e9rieures \u00e0 celles des intrants individuels. Alors que les donn\u00e9es satellitaires ont contribu\u00e9 \u00e0 la pr\u00e9diction du rendement des cultures principalement au d\u00e9but de la pointe de la saison de croissance, les donn\u00e9es climatiques ont fourni des informations suppl\u00e9mentaires principalement \u00e0 la pointe de la fin de la saison. Nous avons \u00e9galement constat\u00e9 que l'utilisation combin\u00e9e de l'IVE, du LST et du SIF a am\u00e9lior\u00e9 la pr\u00e9cision du mod\u00e8le par rapport au mod\u00e8le d'IVE de r\u00e9f\u00e9rence. Cependant, les indices de v\u00e9g\u00e9tation bas\u00e9s sur l'optique partageaient des informations similaires et ne fournissaient pas beaucoup d'informations suppl\u00e9mentaires au-del\u00e0 de l'IVE. Les pr\u00e9visions de rendement en cours de saison ont montr\u00e9 que les rendements des cultures peuvent \u00eatre pr\u00e9vus de mani\u00e8re satisfaisante deux \u00e0 trois mois avant la r\u00e9colte. La g\u00e9ographie, la topographie, la VOD, l'IVE, les param\u00e8tres hydrauliques du sol et les param\u00e8tres nutritifs sont plus importants pour la pr\u00e9diction du rendement des cultures.", "keywords": ["Atmospheric sciences", "Climate", "Multi-source satellite data", "Normalized Difference Vegetation Index", "Engineering", "Pathology", "Climate change", "Urban Heat Islands and Mitigation Strategies", "Linear regression", "2. Zero hunger", "Global and Planetary Change", "Vegetation Monitoring", "Ecology", "Geography", "Statistics", "Agriculture", "Geology", "Remote Sensing in Vegetation Monitoring and Phenology", "04 agricultural and veterinary sciences", "Remote sensing", "Aerospace engineering", "Archaeology", "Physical Sciences", "Metallurgy", "Medicine", "Seasons", "Global Vegetation Models", "Biomass Estimation", "Regression analysis", "Vegetation (pathology)", "Crops", " Agricultural", "Environmental Engineering", "Environmental data", "Yield (engineering)", "Zea mays", "Environmental science", "Machine learning", "FOS: Mathematics", "Crop yield", "Biology", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "Predictive modelling", "Food security", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "Materials science", "Yield prediction", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Growing season", "0401 agriculture", " forestry", " and fisheries", "Mathematics"], "contacts": [{"organization": "Zhenwang Li, Lei Ding, Donghui Xu,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2021.152880"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2021.152880", "name": "item", "description": "10.1016/j.scitotenv.2021.152880", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2021.152880"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-01T00:00:00Z"}}, {"id": "10.1029/2017JD027827", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:26Z", "type": "Journal Article", "created": "2018-04-26", "title": "Fine Particle Emissions From Tropical Peat Fires Decrease Rapidly With Time Since Ignition", "description": "Abstract<p>Southeast Asia experiences frequent fires in fuel\uffe2\uff80\uff90rich tropical peatlands, leading to extreme episodes of regional haze with high concentrations of fine particulate matter (PM2.5) impacting human health. In a study published recently, the first field measurements of PM2.5 emission factors for tropical peat fires showed larger emissions than from other fuel types. Here we report even higher PM2.5 emission factors, measured at newly ignited peat fires in Malaysia, suggesting that current estimates of fine particulate emissions from peat fires may be underestimated by a factor of 3 or more. In addition, we use both field and laboratory measurements of burning peat to provide the first mechanistic explanation for the high variability in PM2.5 emission factors, demonstrating that buildup of a surface ash layer causes the emissions of PM2.5 to decrease as the peat fire progresses. This finding implies that peat fires are more hazardous (in terms of aerosol emissions) when first ignited than when still burning many days later. Varying emission factors for PM2.5 also have implications for our ability to correctly model the climate and air quality impacts downwind of the peat fires. For modelers able to implement a time\uffe2\uff80\uff90varying emission factor, we recommend an emission factor for PM2.5 from newly ignited tropical peat fires of 58\uffc2\uffa0g of PM2.5 per kilogram of dry fuel consumed (g/kg), reducing exponentially at a rate of 9%/day. If the age of the fire is unknown or only a single value may be used, we recommend an average value of 24\uffc2\uffa0g/kg.</p>", "keywords": ["5", "550", "TRACE GASES", "PM2", "PM2.5", "Social and Behavioral Sciences", "01 natural sciences", "TRANSFORM INFRARED-SPECTROSCOPY", "INDONESIA", "CARBON", "SDG 3 - Good Health and Well-being", "11. Sustainability", "Medicine and Health Sciences", "Meteorology & Atmospheric Sciences", "AUSTRALIAN VEGETATION FIRES", "Research Articles", "0105 earth and related environmental sciences", "Science & Technology", "GE", "emissions", "AIR-POLLUTION", "15. Life on land", "FOREST", "FIELD-MEASUREMENTS", "DERIVATION", "13. Climate action", "Physical Sciences", "PREMATURE MORTALITY", "peat", "FoR 0401 (Atmospheric Sciences)", "FoR 0502 (Environmental Science and Management)", "fire"]}, "links": [{"href": "https://researchonline.ljmu.ac.uk/id/eprint/9303/1/Fine%20Particle%20Emissions%20From%20Tropical%20Peat%20Fires%20Decrease%20Rapidly%20With%20Time%20Since%20Ignition..pdf"}, {"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2017JD027827"}, {"href": "https://doi.org/10.1029/2017JD027827"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2017JD027827", "name": "item", "description": "10.1029/2017JD027827", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2017JD027827"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-05-16T00:00:00Z"}}, {"id": "10.1029/2022je007190", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:28Z", "type": "Journal Article", "created": "2022-01-25", "title": "InSight Pressure Data Recalibration, and Its Application to the Study of Long-Term Pressure Changes on Mars", "description": "Abstract<p>Observations of the South Polar Residual Cap suggest a possible erosion of the cap, leading to an increase of the global mass of the atmosphere. We test this assumption by making the first comparison between Viking 1 and InSight surface pressure data, which were recorded 40\uffc2\uffa0years apart. Such a comparison also allows us to determine changes in the dynamics of the seasonal ice caps between these two periods. To do so, we first had to recalibrate the InSight pressure data because of their unexpected sensitivity to the sensor temperature. Then, we had to design a procedure to compare distant pressure measurements. We propose two surface pressure interpolation methods at the local and global scale to do the comparison. The comparison of Viking and InSight seasonal surface pressure variations does not show changes larger than \uffc2\uffb18\uffc2\uffa0Pa in the CO2 cycle. Such conclusions are supported by an analysis of Mars Science Laboratory (MSL) pressure data. Further comparisons with images of the south seasonal cap taken by the Viking 2 orbiter and MARCI camera do not display significant changes in the dynamics of this cap over a 40\uffc2\uffa0year period. Only a possible larger extension of the North Cap after the global storm of MY 34 is observed, but the physical mechanisms behind this anomaly are not well determined. Finally, the first comparison of MSL and InSight pressure data suggests a pressure deficit at Gale crater during southern summer, possibly resulting from a large presence of dust suspended within the crater.</p>", "keywords": ["Atmospheric sciences", "550", "Astronomy", "Atmosphere (unit)", "FOS: Mechanical engineering", "Library science", "Oceanography", "01 natural sciences", "CO<SUB>2</SUB> ice", "pressure", "Mars Exploration Program", "Engineering", "Surface pressure", "Storm", "Martian Climate", "Space Suit Design and Ergonomics for EVA", "Martian Atmosphere", "Earth and Planetary Astrophysics (astro-ph.EP)", "Climatology", "Global and Planetary Change", "Geography", "Martian Surface", "Physics", "Geology", "Impact crater", "Condensed matter physics", "Anomaly (physics)", "World Wide Web", "Algorithm", "Satellite Observations", "Residual", "Physical Sciences", "Exploration and Study of Mars", "Astrophysics - Instrumentation and Methods for Astrophysics", "Research Article", "FOS: Physical sciences", "Mars", "Aerospace Engineering", "Pressure gradient", "Environmental science", "[SDU] Sciences of the Universe [physics]", "atmospheric mass", "Meteorology", "Orbiter", "0103 physical sciences", "Instrumentation and Methods for Astrophysics (astro-ph.IM)", "Formation and Evolution of the Solar System", "0105 earth and related environmental sciences", "Pressure system", "CO 2 ice", "Astronomy and Astrophysics", "FOS: Earth and related environmental sciences", "Astrobiology", "Computer science", "Physics and Astronomy", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "Global Methane Emissions and Impacts", "Environmental Science", "cap sublimation", "Water on Mars", "Astrophysics - Earth and Planetary Astrophysics"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2022JE007190"}, {"href": "https://doi.org/10.1029/2022je007190"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Planets", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2022je007190", "name": "item", "description": "10.1029/2022je007190", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2022je007190"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-25T00:00:00Z"}}, {"id": "10.5194/tc-2018-16", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:37Z", "type": "Journal Article", "created": "2018-03-09", "title": "Carbonaceous material export from Siberian permafrost tracked across the Arctic Shelf using Raman spectroscopy", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Warming-induced erosion of permafrost from Eastern Siberia mobilises large amounts of organic carbon and delivers it to the East Siberian Arctic Shelf (ESAS). In this study Raman spectroscopy of Carbonaceous Material (CM) was used to characterise, identify and track the most recalcitrant fraction of the organic load. 1463 spectra were obtained from surface sediments collected across the ESAS and automatically analysed for their Raman peaks. Spectra were classified by their peak areas and widths into Disordered, Intermediate, Mildly Graphitised and Highly Graphitised groups, and the distribution of these classes was investigated across the shelf. Disordered CM was most prevalent in a permafrost core from Kurungnakh Island, and from areas known to have high rates of coastal erosion. Sediments from outflows of the Indigirka and Kolyma rivers were generally enriched in Intermediate CM. These different sediment sources were identified and distinguished along an E-W transect using their Raman spectra, showing that sediment is not homogenised on the ESAS. Distal samples, from the ESAS slope, contained greater amounts of Highly Graphitised CM compared to the rest of the shelf, attributable to degradation or, more likely, winnowing processes offshore. The presence of all four spectral classes in distal sediments demonstrates that CM degrades much slower than lipid biomarkers and other traditional tracers of terrestrial organic matter, and shows that alongside degradation of the more labile organic matter component there is also conservative transport of carbon across the shelf toward the deep ocean. Thus, carbon cycle calculations must consider the nature as well as the amount of carbon liberated from thawing permafrost and other erosional settings.                         </p></article>", "keywords": ["Ocean", "River", "QE1-996.5", "550", "500", "Terrigenous Organic-Matter", "Geology", "Terrestrial", "Old Carbon", "01 natural sciences", "Sediments", "Environmental sciences", "Degradation", "13. Climate action", "Laptev Sea", "Meteorology & Atmospheric Sciences", "Graphite", "GE1-350", "0405 Oceanography", "14. Life underwater", "Black Carbon", "0406 Physical Geography And Environmental Geoscience", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://tc.copernicus.org/articles/12/3293/2018/tc-12-3293-2018.pdf"}, {"href": "https://doi.org/10.5194/tc-2018-16"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Cryosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/tc-2018-16", "name": "item", "description": "10.5194/tc-2018-16", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/tc-2018-16"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-09T00:00:00Z"}}, {"id": "10.1029/2018GB005950", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:26Z", "type": "Journal Article", "created": "2018-10-12", "title": "Soil Organic Matter Persistence as a Stochastic Process: Age and Transit Time Distributions of Carbon in Soils", "description": "<p>The question of why some types of organic matter are more persistent while others decompose quickly in soils has motivated a large amount of research in recent years. Persistence is commonly characterized as turnover or mean residence time of soil organic matter (SOM). However, turnover and residence times are ambiguous measures of persistence, because they could represent the concept of either age or transit time. To disambiguate these concepts and propose a metric to assess SOM persistence, we calculated age and transit time distributions for a wide range of soil organic carbon models. Furthermore, we show how age and transit time distributions can be obtained from a stochastic approach that takes a deterministic model of mass transfers among different pools and creates an equivalent stochastic model at the level of atoms. Using this approach we show the following: (1) Age distributions have relatively old mean values and long tails in relation to transit time distributions, suggesting that carbon stored in soils is on average much older than carbon in the release flux. (2) The difference between mean ages and mean transit times is large, with estimates of soil organic carbon persistence on the order of centuries or millennia when assessed using ages and on the order of decades when using transit or turnover times. (3) The age distribution is an appropriate metric to characterize persistence of SOM. An important implication of our analysis is that random chance is a factor that helps to explain why some organic matter persists for millennia in soil.</p>", "keywords": ["2. Zero hunger", "Aging", "time scales", "04 agricultural and veterinary sciences", "carbon storage", "15. Life on land", "Oceanography", "01 natural sciences", "soil models", "Atmospheric Sciences", "Geochemistry", "Climate change impacts and adaptation", "13. Climate action", "Geoinformatics", "Earth Sciences", "Meteorology & Atmospheric Sciences", "0401 agriculture", " forestry", " and fisheries", "soil carbon", "Climate Change Impacts and Adaptation", "Environmental Sciences", "model diagnostics", "Research Articles", "biogeochemical cycling", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2018GB005950"}, {"href": "https://escholarship.org/content/qt2sh647x7/qt2sh647x7.pdf"}, {"href": "https://doi.org/10.1029/2018GB005950"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Biogeochemical%20Cycles", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2018GB005950", "name": "item", "description": "10.1029/2018GB005950", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2018GB005950"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-01T00:00:00Z"}}, {"id": "10.1029/2018gb005950", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:27Z", "type": "Journal Article", "created": "2018-10-12", "title": "Soil Organic Matter Persistence as a Stochastic Process: Age and Transit Time Distributions of Carbon in Soils", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The question of why some types of organic matter are more persistent while others decompose quickly in soils has motivated a large amount of research in recent years. Persistence is commonly characterized as turnover or mean residence time of soil organic matter (SOM). However, turnover and residence times are ambiguous measures of persistence, because they could represent the concept of either age or transit time. To disambiguate these concepts and propose a metric to assess SOM persistence, we calculated age and transit time distributions for a wide range of soil organic carbon models. Furthermore, we show how age and transit time distributions can be obtained from a stochastic approach that takes a deterministic model of mass transfers among different pools and creates an equivalent stochastic model at the level of atoms. Using this approach we show the following: (1) Age distributions have relatively old mean values and long tails in relation to transit time distributions, suggesting that carbon stored in soils is on average much older than carbon in the release flux. (2) The difference between mean ages and mean transit times is large, with estimates of soil organic carbon persistence on the order of centuries or millennia when assessed using ages and on the order of decades when using transit or turnover times. (3) The age distribution is an appropriate metric to characterize persistence of SOM. An important implication of our analysis is that random chance is a factor that helps to explain why some organic matter persists for millennia in soil.</p></article>", "keywords": ["2. Zero hunger", "Aging", "time scales", "04 agricultural and veterinary sciences", "carbon storage", "15. Life on land", "Oceanography", "01 natural sciences", "soil models", "Atmospheric Sciences", "Geochemistry", "Climate change impacts and adaptation", "13. Climate action", "Geoinformatics", "Earth Sciences", "Meteorology & Atmospheric Sciences", "0401 agriculture", " forestry", " and fisheries", "soil carbon", "Climate Change Impacts and Adaptation", "Environmental Sciences", "model diagnostics", "Research Articles", "biogeochemical cycling", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2018GB005950"}, {"href": "https://escholarship.org/content/qt2sh647x7/qt2sh647x7.pdf"}, {"href": "https://doi.org/10.1029/2018gb005950"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Biogeochemical%20Cycles", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2018gb005950", "name": "item", "description": "10.1029/2018gb005950", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2018gb005950"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-01T00:00:00Z"}}, {"id": "10.1029/2019ms001776", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:27Z", "type": "Journal Article", "created": "2019-12-20", "title": "Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics", "description": "Abstract<p>Radiocarbon (14C) is a powerful tracer of the global carbon cycle that is commonly used to assess carbon cycling rates in various Earth system reservoirs and as a benchmark to assess model performance. Therefore, it has been recommended that Earth System Models (ESMs) participating in the Coupled Model Intercomparison Project Phase 6 report predicted radiocarbon values for relevant carbon pools. However, a detailed representation of radiocarbon dynamics may be an impractical burden on model developers. Here, we present an alternative approach to compute radiocarbon values from the numerical output of an ESM that does not explicitly represent these dynamics. The approach requires computed 12C stocks and fluxes among all carbon pools for a particular simulation of the model. From this output, a time\uffe2\uff80\uff90dependent linear compartmental system is computed with its respective state\uffe2\uff80\uff90transition matrix. Using transient atmospheric 14C values as inputs, the state\uffe2\uff80\uff90transition matrix is then applied to compute radiocarbon values for each pool, the average value for the entire system, and component fluxes. We demonstrate the approach with ELMv1\uffe2\uff80\uff90ECA, the land component of an ESM model that explicitly represents 12C, and 14C in 7 soil pools and 10 vertical layers. Results from our proposed method are highly accurate (relative error &lt;0.01%) compared with the ELMv1\uffe2\uff80\uff90ECA 12C and 14C predictions, demonstrating the potential to use this approach in CMIP6 and other model simulations that do not explicitly represent 14C.</p", "keywords": ["3701 Atmospheric sciences (for-2020)", "Life on Land", "3704 Geoinformatics (for-2020)", "Bioengineering", "Earth system models", "dynamical systems", "0401 Atmospheric Sciences (for)", "3701 Atmospheric Sciences (for-2020)", "compartmental systems", "01 natural sciences", "Atmospheric Sciences", "37 Earth Sciences (for-2020)", "13. Climate action", "Geoinformatics", "Earth Sciences", "radiocarbon", "15 Life on Land (sdg)", "model diagnostics", "carbon cycle models", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2019MS001776"}, {"href": "https://doi.org/10.1029/2019ms001776"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Advances%20in%20Modeling%20Earth%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2019ms001776", "name": "item", "description": "10.1029/2019ms001776", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2019ms001776"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.1038/nclimate2940", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:32Z", "type": "Journal Article", "created": "2016-02-19", "title": "Tundra Soil Carbon Is Vulnerable To Rapid Microbial Decomposition Under Climate Warming", "description": "Release of carbon previously locked in permafrost is a potentially important positive climate feedback. Now metagenomics reveal the vulnerability of active-layer soil carbon to warming-induced microbial decomposition in Alaskan tundra.", "keywords": ["Climate Action", "Environmental Science and Management", "13. Climate action", "15. Life on land", "Physical Geography and Environmental Geoscience", "Atmospheric Sciences"]}, "links": [{"href": "https://escholarship.org/content/qt0819x7ft/qt0819x7ft.pdf"}, {"href": "https://doi.org/10.1038/nclimate2940"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Climate%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/nclimate2940", "name": "item", "description": "10.1038/nclimate2940", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/nclimate2940"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-02-22T00:00:00Z"}}, {"id": "10.1038/ncomms15347", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:32Z", "type": "Journal Article", "created": "2017-05-17", "title": "Global perturbation of organic carbon cycling by river damming", "description": "Abstract<p>The damming of rivers represents one of the most far-reaching human modifications of the flows of water and associated matter from land to sea. Dam reservoirs are hotspots of sediment accumulation, primary productivity (P) and carbon mineralization (R) along the river continuum. Here we show that for the period 1970\uffe2\uff80\uff932030, global carbon mineralization in reservoirs exceeds carbon fixation (P&lt;R); the global P/R ratio, however, varies significantly, from 0.20 to 0.58 because of the changing age distribution of dams. We further estimate that at the start of the twenty-first century, in-reservoir burial plus mineralization eliminated 4.0\uffc2\uffb10.9\uffe2\uff80\uff89Tmol per year (48\uffc2\uffb111 Tg C per year) or 13% of total organic carbon (OC) carried by rivers to the oceans. Because of the ongoing boom in dam building, in particular in emerging economies, this value could rise to 6.9\uffc2\uffb11.5\uffe2\uff80\uff89Tmol per year (83\uffc2\uffb118 Tg C per year) or 19% by 2030.</p", "keywords": ["Environnement et pollution", "13. Climate action", "Science", "Q", "Earth Sciences", "G\u00e9ochimie", "Biogeochemistry", " carbon cycle", " dams and reservoirs", "01 natural sciences", "Article", "6. Clean water", "Atmospheric Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://escholarship.org/content/qt341579vd/qt341579vd.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/251365/3/doi_234992.pdf"}, {"href": "https://doi.org/10.1038/ncomms15347"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/ncomms15347", "name": "item", "description": "10.1038/ncomms15347", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/ncomms15347"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-05-17T00:00:00Z"}}, {"id": "10.1038/s41467-017-00114-5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:33Z", "type": "Journal Article", "created": "2017-07-17", "title": "Recent increases in terrestrial carbon uptake at little cost to the water cycle", "description": "Abstract<p>Quantifying the responses of the coupled carbon and water cycles to current global warming and rising atmospheric CO2 concentration is crucial for predicting and adapting to climate changes. Here we show that terrestrial carbon uptake (i.e. gross primary production) increased significantly from 1982 to 2011 using a combination of ground-based and remotely sensed land and atmospheric observations. Importantly, we find that the terrestrial carbon uptake increase is not accompanied by a proportional increase in water use (i.e. evapotranspiration) but is largely (about 90%) driven by increased carbon uptake per unit of water use, i.e. water use efficiency. The increased water use efficiency is positively related to rising CO2 concentration and increased canopy leaf area index, and negatively influenced by increased vapour pressure deficits. Our findings suggest that rising atmospheric CO2 concentration has caused a shift in terrestrial water economics of carbon uptake.</p>", "keywords": ["Atmospheric sciences", "GLOBAL-SCALE", "Climate Change and Variability Research", "02 engineering and technology", "7. Clean energy", "01 natural sciences", "Terrestrial ecosystem", "Carbon fibers", "Climate change", "Terrestrial plant", "Global and Planetary Change", "CLIMATE-CHANGE", "EVAPOTRANSPIRATION", "Evapotranspiration", "Primary production", "Ecology", "Global warming", "Q", "TRANSPIRATION", "Composite number", "Geology", "Carbon cycle", "6. Clean water", "Physical Sciences", "8. Economic growth", "DIOXIDE", "Water-use efficiency", "Composite material", "Atmospheric carbon cycle", "Science", "Carbon dioxide in Earth's atmosphere", "STOMATAL CONDUCTANCE", "0207 environmental engineering", "Article", "Environmental science", "USE EFFICIENCY", "ATMOSPHERIC CO2", "Irrigation", "Biology", "Ecosystem", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Earth and related environmental sciences", "15. Life on land", "TRENDS", "Materials science", "Carbon dioxide", "13. Climate action", "Earth and Environmental Sciences", "FOS: Biological sciences", "Environmental Science", "Global Methane Emissions and Impacts", "VEGETATION", "Water cycle", "Climate Modeling", "Water use"]}, "links": [{"href": "https://www.nature.com/articles/s41467-017-00114-5.pdf"}, {"href": "https://doi.org/10.1038/s41467-017-00114-5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41467-017-00114-5", "name": "item", "description": "10.1038/s41467-017-00114-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41467-017-00114-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-24T00:00:00Z"}}, {"id": "10.1038/s41598-019-55251-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:37Z", "type": "Journal Article", "created": "2019-12-16", "title": "Assessing the impact of global climate changes on irrigated wheat yields and water requirements in a semi-arid environment of Morocco", "description": "Abstract<p>The present work aims to quantify the impact of climate change (CC) on the grain yields of irrigated cereals and their water requirements in the Tensift region of Morocco. The Med-CORDEX (MEDiterranean COordinated Regional Climate Downscaling EXperiment) ensemble runs under scenarios RCP4.5 (Representative Concentration Pathway) and RCP8.5 are first evaluated and disaggregated using the quantile-quantile approach. The impact of CC on the duration of the main wheat phenological stages based on the degree-day approach is then analyzed. The results show that the rise in air temperature causes a shortening of the development cycle of up to 50 days. The impacts of rising temperature and changes in precipitation on wheat yields are next evaluated, based on the AquaCrop model, both with and without taking into account the fertilizing effect of CO2. As expected, optimal wheat yields will decrease on the order of 7 to 30% if CO2 concentration rise is not considered. The fertilizing effect of CO2 can counterbalance yield losses, since optimal yields could increase by 7% and 13% respectively at mid-century for the RCP4.5 and RCP8.5 scenarios. Finally, water requirements are expected to decrease by 13 to 42%, mainly in response to the shortening of the cycle. This decrease is associated with a change in temporal patterns, with the requirement peak coming two months earlier than under current conditions.</p>", "keywords": ["Water resources", "Atmospheric sciences", "Agricultural Irrigation", "environment/Bioclimatology", "550", "Representative Concentration Pathways", "Adaptation to Climate Change in Agriculture", "Arid", "Rain", "[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy", "Climate Change and Variability Research", "Plant Science", "Precipitation", "02 engineering and technology", "01 natural sciences", "Agricultural and Biological Sciences", "Downscaling", "Climate change", "Quantile", "Triticum", "Climatology", "2. Zero hunger", "Global and Planetary Change", "Ecology", "Geography", "Temperature", "Life Sciences", "Geology", "Morocco", "Phenology", "[SDV.EE.BIO]Life Sciences [q-bio]/Ecology", "Seeds", "Physical Sciences", "Metallurgy", "Desert Climate", "Impacts of Elevated CO2 and Ozone on Plant Physiology", "Climate Change", "0207 environmental engineering", "Yield (engineering)", "Climate model", "Article", "Environmental science", "FOS: Economics and business", "Meteorology", "FOS: Mathematics", "Econometrics", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Ecology", " Evolution", " Behavior and Systematics", "0105 earth and related environmental sciences", "[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy", "Water", "FOS: Earth and related environmental sciences", "Carbon Dioxide", "15. Life on land", "Agronomy", "Materials science", "[SDV.EE.BIO] Life Sciences [q-bio]/Ecology", " environment/Bioclimatology", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Crop Yield", "Mediterranean climate", "Mathematics", "Climate Modeling"]}, "links": [{"href": "https://www.nature.com/articles/s41598-019-55251-2.pdf"}, {"href": "https://doi.org/10.1038/s41598-019-55251-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41598-019-55251-2", "name": "item", "description": "10.1038/s41598-019-55251-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41598-019-55251-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-16T00:00:00Z"}}, {"id": "10.1038/s41561-019-0318-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:36Z", "type": "Journal Article", "created": "2019-03-11", "title": "Drought impacts on terrestrial primary production underestimated by satellite monitoring", "description": "Satellite retrievals of information about the Earth's surface are widely used to monitor global terrestrial photosynthesis and primary production and to examine the ecological impacts of droughts. Methods for estimating photosynthesis from space commonly combine information on vegetation greenness, incoming radiation, temperature and atmospheric demand for water (vapour-pressure deficit), but do not account for the direct effects of low soil moisture. They instead rely on vapour-pressure deficit as a proxy for dryness, despite widespread evidence that soil moisture deficits have a direct impact on vegetation, independent of vapour-pressure deficit. Here, we use a globally distributed measurement network to assess the effect of soil moisture on photosynthesis, and identify a common bias in an ensemble of satellite-based estimates of photosynthesis that is governed by the magnitude of soil moisture effects on photosynthetic light-use efficiency. We develop methods to account for the influence of soil moisture and estimate that soil moisture effects reduce global annual photosynthesis by ~15%, increase interannual variability by more than 100% across 25% of the global vegetated land surface, and amplify the impacts of extreme events on primary production. These results demonstrate the importance of soil moisture effects for monitoring carbon-cycle variability and drought impacts on vegetation productivity from space.", "keywords": ["550", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "Physical Geography and Environmental Geoscience", "USE EFFICIENCY", "NET PRIMARY PRODUCTION", "Meteorology & Atmospheric Sciences", "Geosciences", " Multidisciplinary", "WATER-STRESS", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences", "2. Zero hunger", "Multidisciplinary", "Science & Technology", "CLIMATE-CHANGE", "Ecology", "PHOTOSYNTHESIS", "Geology", "GROSS PRIMARY PRODUCTION", "Carbon cycle", "Biogeochemistry", "15. Life on land", "FOREST", "6. Clean water", "ATMOSPHERIC DEMAND", "13. Climate action", "Physical Sciences", "Earth Sciences", "RADIATION", "CARBON UPTAKE", "Geosciences"]}, "links": [{"href": "http://www.nature.com/articles/s41561-019-0318-6.pdf"}, {"href": "https://escholarship.org/content/qt2hr7r7gk/qt2hr7r7gk.pdf"}, {"href": "https://doi.org/10.1038/s41561-019-0318-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41561-019-0318-6", "name": "item", "description": "10.1038/s41561-019-0318-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41561-019-0318-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-11T00:00:00Z"}}, {"id": "10.1038/s41561-019-0384-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:36Z", "type": "Journal Article", "created": "2019-06-24", "title": "Mobilization of aged and biolabile soil carbon by tropical deforestation", "description": "In the mostly pristine Congo Basin, agricultural land-use change has intensified in recent years. One potential and understudied consequence of this deforestation and conversion to agriculture is the mobilization and loss of organic matter from soils to rivers as dissolved organic matter. Here, we quantify and characterize dissolved organic matter sampled from 19 catchments of varying deforestation extent near Lake Kivu over a two-week period during the wet season. Dissolved organic carbon from deforested, agriculturally-dominated catchments was older (14C age: ~1.5kyr) and more biolabile than from pristine forest catchments. Ultrahigh-resolution mass spectrometry revealed that this aged organic matter from deforested catchments was energy-rich and chemodiverse, with higher proportions of nitrogen- and sulfur-containing formulae. Given the molecular composition and biolability, we suggest that organic matter from deforested landscapes is preferentially respired upon disturbance, resulting in elevated in-stream concentrations of carbon dioxide. We estimate that while deforestation reduces the overall flux of dissolved organic carbon by ~56%, it does not significantly change the yield of biolabile dissolved organic carbon. Ultimately, the exposure of deeper soil horizons through deforestation and agricultural expansion releases old, previously stable, and biolabile soil organic carbon into the modern carbon cycle via the aquatic pathway.", "keywords": ["2. Zero hunger", "Life on Land", "04 agricultural and veterinary sciences", "15. Life on land", "dissolved organic carbon", "01 natural sciences", "Article", "6. Clean water", "soil organic carbon", "Congo", "13. Climate action", "deforestation", "Meteorology & Atmospheric Sciences", "0401 agriculture", " forestry", " and fisheries", "agriculture", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.nature.com/articles/s41561-019-0384-9.pdf"}, {"href": "https://escholarship.org/content/qt45n6x8tn/qt45n6x8tn.pdf"}, {"href": "https://doi.org/10.1038/s41561-019-0384-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41561-019-0384-9", "name": "item", "description": "10.1038/s41561-019-0384-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41561-019-0384-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-24T00:00:00Z"}}, {"id": "10.1038/s41561-019-0387-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:36Z", "type": "Journal Article", "created": "2019-07-01", "title": "Direct observation of permafrost degradation and rapid soil carbon loss in tundra", "description": "Peer reviewed", "keywords": ["Climate Action", "13. Climate action", "Meteorology & Atmospheric Sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://escholarship.org/content/qt1fz2t88c/qt1fz2t88c.pdf"}, {"href": "https://doi.org/10.1038/s41561-019-0387-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41561-019-0387-6", "name": "item", "description": "10.1038/s41561-019-0387-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41561-019-0387-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "10.1038/s41561-020-0596-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:36Z", "type": "Journal Article", "created": "2020-06-29", "title": "The age distribution of global soil carbon inferred from radiocarbon measurements", "description": "Soils contain more carbon than the atmosphere and vegetation combined. An increased flow of carbon from the atmosphere into soil pools could help mitigate anthropogenic emissions of carbon dioxide and climate change. Yet we do not know how quickly soils might respond because the age distribution of soil carbon is uncertain. Here we used 789 radiocarbon (\u220614C) profiles, along with other geospatial information, to create globally gridded datasets of mineral soil \u220614C and mean age. We found that soil depth is a primary driver of \u220614C, whereas climate (for example, mean annual temperature) is a major control on the spatial pattern of \u220614C in surface soil. Integrated to a depth of 1\u2009m, global soil carbon has a mean age of 4,830\u2009\u00b1\u20091,730\u2009yr, with older carbon in deeper layers and permafrost regions. In contrast, vertically resolved land models simulate \u220614C values that imply younger carbon ages and a more rapid carbon turnover. Our data-derived estimates of older mean soil carbon age suggest that soils will accumulate less carbon than predicted by current Earth system models over the twenty-first century. Reconciling these models with the global distribution of soil radiocarbon will require a better representation of the mechanisms that control carbon persistence in soils. Soils may accumulate less carbon and with a slower turnover than Earth system models predict, according to analysis of the age distribution of global soil carbon, which finds that the mean age of soil carbon is older than that in simulated in models.", "keywords": ["Climate Action", "0301 basic medicine", "03 medical and health sciences", "13. Climate action", "Earth Sciences", "Meteorology & Atmospheric Sciences", "15. Life on land", "Physical geography and environmental geoscience", "01 natural sciences", "Physical Geography and Environmental Geoscience", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.nature.com/articles/s41561-020-0596-z.pdf"}, {"href": "https://escholarship.org/content/qt2738s2mj/qt2738s2mj.pdf"}, {"href": "https://doi.org/10.1038/s41561-020-0596-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41561-020-0596-z", "name": "item", "description": "10.1038/s41561-020-0596-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41561-020-0596-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-29T00:00:00Z"}}, {"id": "10.1038/s41561-020-0612-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:36Z", "type": "Journal Article", "created": "2020-07-27", "title": "Persistence of soil organic carbon caused by functional complexity", "description": "Soil organic carbon management has the potential to aid climate change mitigation through drawdown of atmospheric carbon dioxide. To be effective, such management must account for processes influencing carbon storage and re-emission at different space and time scales. Achieving this requires a conceptual advance in our understanding to link carbon dynamics from the scales at which processes occur to the scales at which decisions are made. Here, we propose that soil carbon persistence can be understood through the lens of decomposers as a result of functional complexity derived from the interplay between spatial and temporal variation of molecular diversity and composition. For example, co-location alone can determine whether a molecule is decomposed, with rapid changes in moisture leading to transport of organic matter and constraining the fitness of the microbial community, while greater molecular diversity may increase the metabolic demand of, and thus potentially limit, decomposition. This conceptual shift accounts for emergent behaviour of the microbial community and would enable soil carbon changes to be predicted without invoking recalcitrant carbon forms that have not been observed experimentally. Functional complexity as a driver of soil carbon persistence suggests soil management should be based on constant care rather than one-time action to lock away carbon in soils.", "keywords": ["[SDE] Environmental Sciences", "DECOMPOSITION", "2. Zero hunger", "106022 Mikrobiologie", "[SDE.MCG]Environmental Sciences/Global Changes", "UNCERTAINTY", "04 agricultural and veterinary sciences", "INPUTS", "15. Life on land", "TRANSPORT", "MODEL", "[SDE.MCG] Environmental Sciences/Global Changes", "106026 \u00d6kosystemforschung", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "[SDE]Environmental Sciences", "SDG 13 - Climate Action", "Meteorology & Atmospheric Sciences", "106022 Microbiology", "GROWTH", "0401 agriculture", " forestry", " and fisheries", "TURNOVER", "PLANT", "106026 Ecosystem research", "MATTER"]}, "links": [{"href": "http://www.nature.com/articles/s41561-020-0612-3.pdf"}, {"href": "https://escholarship.org/content/qt84n3398c/qt84n3398c.pdf"}, {"href": "https://doi.org/10.1038/s41561-020-0612-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41561-020-0612-3", "name": "item", "description": "10.1038/s41561-020-0612-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41561-020-0612-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-27T00:00:00Z"}}, {"id": "10.1073/pnas.2118014119", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:55Z", "type": "Journal Article", "created": "2022-09-12", "title": "Strong isoprene emission response to temperature in tundra vegetation", "description": "<p>             Emissions of biogenic volatile organic compounds (BVOCs) are a crucial component of biosphere\uffe2\uff80\uff93atmosphere interactions. In northern latitudes, climate change is amplified by feedback processes in which BVOCs have a recognized, yet poorly quantified role, mainly due to a lack of measurements and concomitant modeling gaps. Hence, current Earth system models mostly rely on temperature responses measured on vegetation from lower latitudes, rendering their predictions highly uncertain. Here, we show how tundra isoprene emissions respond vigorously to temperature increases, compared to model results. Our unique dataset of direct eddy covariance ecosystem-level isoprene measurements in two contrasting ecosystems exhibited             Q             10             (the factor by which the emission rate increases with a 10\uffe2\uff80\uff89\uffc2\uffb0C rise in temperature) temperature coefficients of up to 20.8, that is, 3.5 times the             Q             10             of 5.9 derived from the equivalent model calculations. Crude estimates using the observed temperature responses indicate that tundra vegetation could enhance their isoprene emissions by up to 41% (87%)\uffe2\uff80\uff94that is, 46% (55%) more than estimated by models\uffe2\uff80\uff94with a 2\uffe2\uff80\uff89\uffc2\uffb0C (4\uffe2\uff80\uff89\uffc2\uffb0C) warming. Our results demonstrate that tundra vegetation possesses the potential to substantially boost its isoprene emissions in response to future rising temperatures, at rates that exceed the current Earth system model predictions.           </p>", "keywords": ["550", "Biogenic volatile organic compound fluxes", "Plant Development", "Eddy covariance", "Global Warming", "01 natural sciences", "biosphere\u2013atmosphere interactions", "Atmospheric Sciences", "Hemiterpenes", "VOC emission modeling", "eddy covariance", "Butadienes", "Temperature response", "biosphere-atmosphere interactions", "Tundra", "0105 earth and related environmental sciences", "Volatile Organic Compounds", "Biosphere\u2013atmosphere interactions", "Temperature", "500", "15. Life on land", "biogenic volatile organic compound fluxes", "Climate Action", "13. Climate action", "Physical Sciences", "Earth Sciences", "temperature response"]}, "links": [{"href": "https://pnas.org/doi/pdf/10.1073/pnas.2118014119"}, {"href": "https://escholarship.org/content/qt6xn5p3sr/qt6xn5p3sr.pdf"}, {"href": "https://doi.org/10.1073/pnas.2118014119"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20National%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1073/pnas.2118014119", "name": "item", "description": "10.1073/pnas.2118014119", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1073/pnas.2118014119"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-28T00:00:00Z"}}, {"id": "10.1088/1748-9326/6/3/034028", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:08Z", "type": "Journal Article", "created": "2011-09-13", "title": "Closing The Gap: Global Potential For Increasing Biofuel Production Through Agricultural Intensification", "description": "Since the end of World War II, global agriculture has undergone a period of rapid intensification achieved through a combination of increased applications of chemical fertilizers, pesticides, and herbicides, the implementation of best management practice techniques, mechanization, irrigation, and more recently, through the use of optimized seed varieties and genetic engineering. However, not all crops and not all regions of the world have realized the same improvements in agricultural intensity. In this study we examine both the magnitude and spatial variation of new agricultural production potential from closing of 'yield gaps' for 20 ethanol and biodiesel feedstock crops. With biofuels coming under increasing pressure to slow or eliminate indirect land-use conversion, the use of targeted intensification via established agricultural practices might offer an alternative for continued growth. We find that by closing the 50th percentile production gap\u2014essentially improving global yields to median levels\u2014the 20 crops in this study could provide approximately 112.5 billion liters of new ethanol and 8.5 billion liters of new biodiesel production. This study is intended to be an important new resource for scientists and policymakers alike\u2014helping to more accurately understand spatial variation of yield and agricultural intensification potential, as well as employing these data to better utilize existing infrastructure and optimize the distribution of development and aid capital.", "keywords": ["2. Zero hunger", "yield gap", "biodiesel", "15. Life on land", "global", "7. Clean energy", "01 natural sciences", "biofuels", "agrofuels", "12. Responsible consumption", "13. Climate action", "Meteorology & Atmospheric Sciences", "Zero Hunger", "ethanol", "intensification", "agriculture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://escholarship.org/content/qt7mr069mw/qt7mr069mw.pdf"}, {"href": "https://doi.org/10.1088/1748-9326/6/3/034028"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-9326/6/3/034028", "name": "item", "description": "10.1088/1748-9326/6/3/034028", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/6/3/034028"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-07-01T00:00:00Z"}}, {"id": "10.1093/ismejo/wrae025", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:11Z", "type": "Journal Article", "created": "2024-02-12", "title": "Stronger compensatory thermal adaptation of soil microbial respiration with higher substrate availability", "description": "Abstract                <p>Ongoing global warming is expected to augment soil respiration by increasing the microbial activity, driving self-reinforcing feedback to climate change. However, the compensatory thermal adaptation of soil microorganisms and substrate depletion may weaken the effects of rising temperature on soil respiration. To test this hypothesis, we collected soils along a large-scale forest transect in eastern China spanning a natural temperature gradient, and we incubated the soils at different temperatures with or without substrate addition. We combined the exponential thermal response function and a data-driven model to study the interaction effect of thermal adaptation and substrate availability on microbial respiration and compared our results to those from two additional continental and global independent datasets. Modeled results suggested that the effect of thermal adaptation on microbial respiration was greater in areas with higher mean annual temperatures, which is consistent with the compensatory response to warming. In addition, the effect of thermal adaptation on microbial respiration was greater under substrate addition than under substrate depletion, which was also true for the independent datasets reanalyzed using our approach. Our results indicate that thermal adaptation in warmer regions could exert a more pronounced negative impact on microbial respiration when the substrate availability is abundant. These findings improve the body of knowledge on how substrate availability influences the soil microbial community\uffe2\uff80\uff93temperature interactions, which could improve estimates of projected soil carbon losses to the atmosphere through respiration.</p", "keywords": ["0301 basic medicine", "Atmospheric sciences", "Microbial population biology", "soil carbon decomposition", "global warming", "Global Warming", "Agricultural and Biological Sciences", "Soil carbon decomposition", "Soil", "Engineering", "Soil water", "Climate change", "Soil Microbiology", "2. Zero hunger", "Global and Planetary Change", "0303 health sciences", "Adaptation (eye)", "Q10", "Ecology", "Soil Water Retention", "Respiration", "Global warming", "Temperature", "Life Sciences", "Geology", "Soil respiration", "Soil carbon", "6. Clean water", "Physical Sciences", "Original Article", "570", "Mechanics and Transport in Unsaturated Soils", "Climate Change", "Soil Science", "Thermal Effects on Soil", "Environmental science", "03 medical and health sciences", "Microbial respiration", "microbial respiration", "Biowissenschaften; Biologie", "Genetics", "Biology", "Civil and Structural Engineering", "Soil science", "Soil Fertility", "Bacteria", "Global Forest Drought Response and Climate Change", "Botany", "FOS: Earth and related environmental sciences", "15. Life on land", "Carbon", "microbial thermal adaptation", "Microbial thermal adaptation", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Substrate (aquarium)", "Neuroscience"], "contacts": [{"organization": "Lili Qu, Chao Wang, Stefano Manzoni, Marina Dacal, Fernando T. Maestre, Edith Bai,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1093/ismejo/wrae025"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20ISME%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/ismejo/wrae025", "name": "item", "description": "10.1093/ismejo/wrae025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/ismejo/wrae025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.1371/journal.pone.0001299", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:19:17Z", "type": "Journal Article", "created": "2007-12-11", "title": "Increased Litterfall In Tropical Forests Boosts The Transfer Of Soil Co2 To The Atmosphere", "description": "Open AccessLa production de liti\u00e8re a\u00e9rienne dans les for\u00eats est susceptible d'augmenter en raison des concentrations \u00e9lev\u00e9es de dioxyde de carbone atmosph\u00e9rique (CO(2)), de la hausse des temp\u00e9ratures et du changement des r\u00e9gimes de pr\u00e9cipitations. Comme les chutes de liti\u00e8re repr\u00e9sentent un flux majeur de carbone de la v\u00e9g\u00e9tation vers le sol, les changements dans les apports de liti\u00e8re sont susceptibles d'avoir des cons\u00e9quences de grande port\u00e9e sur la dynamique du carbone du sol. De telles perturbations du bilan carbone peuvent \u00eatre particuli\u00e8rement importantes sous les tropiques, car les for\u00eats tropicales stockent pr\u00e8s de 30\u00a0% du carbone mondial du sol, ce qui en fait une composante essentielle du cycle mondial du carbone\u00a0; n\u00e9anmoins, les effets de l'augmentation de la production de liti\u00e8re a\u00e9rienne sur la dynamique du carbone souterrain sont mal compris. Nous avons utilis\u00e9 des traitements mensuels \u00e0 long terme et \u00e0 grande \u00e9chelle d'enl\u00e8vement et d'ajout de liti\u00e8re dans une for\u00eat tropicale de plaine pour \u00e9valuer les cons\u00e9quences de l'augmentation des chutes de liti\u00e8re sur la production souterraine de CO(2). Au cours de la deuxi\u00e8me \u00e0 la cinqui\u00e8me ann\u00e9e de traitement, l'ajout de liti\u00e8re a augment\u00e9 la respiration du sol plus que l'enl\u00e8vement de la liti\u00e8re ne l'a diminu\u00e9\u00a0; la respiration du sol \u00e9tait en moyenne 20\u00a0% plus faible dans l'enl\u00e8vement de la liti\u00e8re et 43\u00a0% plus \u00e9lev\u00e9e dans le traitement d'ajout de liti\u00e8re par rapport aux t\u00e9moins, mais l'ajout de liti\u00e8re n'a pas modifi\u00e9 la biomasse microbienne. Nous avons pr\u00e9dit une augmentation de 9% de la respiration du sol dans les parcelles d'ajout de liti\u00e8re, bas\u00e9e sur la diminution de 20% des parcelles d'enl\u00e8vement de la liti\u00e8re et une r\u00e9duction de 11% due \u00e0 une biomasse racinaire fine plus faible dans les parcelles d'ajout de liti\u00e8re. L'augmentation mesur\u00e9e de 43\u00a0% de la respiration du sol \u00e9tait donc 34\u00a0% plus \u00e9lev\u00e9e que pr\u00e9vu et il est possible que ce CO \u00ab\u00a0suppl\u00e9mentaire\u00a0\u00bb (2) soit le r\u00e9sultat d'effets d'amor\u00e7age, c'est-\u00e0-dire la stimulation de la d\u00e9composition de la mati\u00e8re organique du sol plus ancienne par l'ajout de mati\u00e8re organique fra\u00eeche. Nos r\u00e9sultats montrent que l'augmentation de la production de liti\u00e8re a\u00e9rienne en raison du changement global a le potentiel de provoquer des pertes consid\u00e9rables de carbone du sol dans l'atmosph\u00e8re dans les for\u00eats tropicales.", "keywords": ["570", "Atmospheric sciences", "Science", "Atmosphere (unit)", "Soil Science", "Carbon Loss", "630", "Environmental science", "Plant litter", "Trees", "Agricultural and Biological Sciences", "Impact of Climate Change on Forest Wildfires", "Soil", "Meteorology", "Litter", "Biomass", "Biology", "Ecosystem", "2. Zero hunger", "Tropical Climate", "Global and Planetary Change", "Ecology", "Geography", "Atmosphere", "Global Forest Drought Response and Climate Change", "Q", "R", "Temperature", "Tropics", "Water", "Life Sciences", "Geology", "FOS: Earth and related environmental sciences", "04 agricultural and veterinary sciences", "Carbon Dioxide", "15. Life on land", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Seasons", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Research Article"]}, "links": [{"href": "http://oro.open.ac.uk/36464/1/Sayer%20et%20al%202007.pdf"}, {"href": "https://eprints.lancs.ac.uk/id/eprint/69199/1/journal.pone.0001299.pdf"}, {"href": "https://doi.org/10.1371/journal.pone.0001299"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLoS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0001299", "name": "item", "description": "10.1371/journal.pone.0001299", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0001299"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-12-12T00:00:00Z"}}, {"id": "10.5194/gmd-17-6903-2024", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:33Z", "type": "Journal Article", "created": "2024-09-16", "title": "Recent improvements and maximum covariance analysis of aerosol and cloud properties in the EC-Earth3-AerChem model", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Given the importance of aerosols and clouds and their interactions in the climate system, it is imperative that the global Earth system models accurately represent processes associated with them. This is an important prerequisite if we are to narrow the uncertainties in future climate projections. In practice, this means that continuous model evaluations and improvements grounded in observations are necessary. Numerous studies in the past few decades have shown both the usability and the limitations of utilizing satellite-based observations in understanding and evaluating aerosol\u2013cloud interactions, particularly under varying meteorological and satellite sensor sensitivity paradigms. Furthermore, the vast range of spatio-temporal scales at which aerosol and cloud processes occur adds another dimension to the challenges faced when evaluating climate models. In this context, the aim of this study is two-fold. (1)\u00a0We evaluate the most recent, significant changes in the representation of aerosol and cloud processes implemented in the EC-Earth3-AerChem model in the framework of the EU project FORCeS compared with its previous CMIP6 version (Coupled Model Intercomparison Project Phase\u00a06; https://pcmdi.llnl.gov/CMIP6/, last access: 13\u00a0February\u00a02019). We focus particularly on evaluating cloud physical properties and radiative effects, wherever possible, using a satellite simulator. We report on the overall improvements in the EC-Earth3-AerChem model. In particular, the strong warm bias chronically seen over the Southern Ocean is reduced significantly. (2)\u00a0A statistical, maximum covariance analysis is carried out between aerosol optical depth (AOD) and cloud droplet (CD) effective radius based on the recent EC-Earth3-AerChem/FORCeS simulation to understand to what extent the Twomey effect can manifest itself in the larger spatio-temporal scales. We focus on the three oceanic low-level cloud regimes that are important due to their strong net cooling effect and where pollution outflow from the nearby continent is simultaneously pervasive. We report that the statistical covariability between AOD and CD effective radius is indeed dominantly visible even at the climate scale when the aerosol amount and composition are favourably preconditioned to allow for aerosol\u2013cloud interactions. Despite this strong covariability, our analysis shows a strong cooling/warming in shortwave cloud radiative effects at the top of the atmosphere in our study regions associated with an increase/decrease in CD effective radius. This cooling/warming can be attributed to the increase/decrease in low cloud fraction, in line with previous observational studies.                     </p></article>", "keywords": ["Climatology", "QE1-996.5", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Canvi clim\u00e0tic", "550", "Geology", "Aerosols atmosf\u00e8rics", "15. Life on land", "Atmospheric aerosols", "An\u00e0lisi de covari\u00e0ncia", "Meteorology and Atmospheric Sciences", "13. Climate action", "Clouds", "Climatologia", "Analysis of covariance", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria civil::Geologia::Mineralogia", "Meteorologi och atmosf\u00e4rsvetenskap", "14. Life underwater", "N\u00favols"]}, "links": [{"href": "https://gmd.copernicus.org/articles/17/6903/2024/gmd-17-6903-2024.pdf"}, {"href": "https://doi.org/10.5194/gmd-17-6903-2024"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-17-6903-2024", "name": "item", "description": "10.5194/gmd-17-6903-2024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-17-6903-2024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-15T00:00:00Z"}}, {"id": "10.3390/rs11091138", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:48Z", "type": "Journal Article", "created": "2019-05-13", "title": "Advances in the Remote Sensing of Terrestrial Evaporation", "description": "<p>Characterizing the terrestrial carbon, water, and energy cycles depends strongly on a capacity to accurately reproduce the spatial and temporal dynamics of land surface evaporation. For this, and many other reasons, monitoring terrestrial evaporation across multiple space and time scales has been an area of focused research for a number of decades. Much of this activity has been supported by developments in satellite remote sensing, which have been leveraged to deliver new process insights, model development and methodological improvements. In this Special Issue, published contributions explored a range of research topics directed towards the enhanced estimation of terrestrial evaporation. Here we summarize these cutting-edge efforts and provide an overview of some of the state-of-the-art approaches for retrieving this key variable. Some perspectives on outstanding challenges, issues, and opportunities are also presented.</p>", "keywords": ["Atmospheric sciences", "CubeSats", "Life on Land", "Classical Physics", "Science", "0207 environmental engineering", "02 engineering and technology", "high-resolution", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Article", "evaporation", "land surface modeling", "remote sensing", "Engineering", "novel sensing", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences", "Earth observation", "Q", "Geomatic engineering", "15. Life on land", "Geomatic Engineering", "land surface flux", "13. Climate action", "cubesats"]}, "links": [{"href": "https://www.mdpi.com/2072-4292/11/9/1138/pdf"}, {"href": "https://escholarship.org/content/qt1sh5v7hp/qt1sh5v7hp.pdf"}, {"href": "https://doi.org/10.3390/rs11091138"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs11091138", "name": "item", "description": "10.3390/rs11091138", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs11091138"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-13T00:00:00Z"}}, {"id": "10.3390/rs13214195", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:50Z", "type": "Journal Article", "created": "2021-10-20", "title": "Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Medium resolution satellite data, such as Sentinel-2 of the Copernicus programme, offer great new opportunities for the agricultural sector, and provide insights on soil surface characteristics and their management. Soil monitoring requires a high-quality dataset of uncovered and plastic covered agricultural soil. We developed a methodology to identify uncovered soil pixels in agricultural parcels during seedbed preparation and considered the impacts of clouds and shadows, vegetation cover, and artificial covers, such as those of greenhouses and plastic mulch films. We preserved the spatial and temporal integrity of parcels in the process and analysed spectral anomalies and their sources. The approach is based on freely available tools, namely Google Earth Engine and R Programming packages. We tested the methodology on the northern region of Belgium, which is characterised by small, fragmented parcels. We selected a period between mid-April to end-May, when active agricultural management practices leave the soil bare in preparation for the main cropping season. The spectral angle mapper was used to identify soil covered by non-plastic greenhouses or temporary soil covers, such as plastic mulch films. The effect of underlying soil on temporary covers was considered. The retrogressive plastic greenhouse index was used for detecting plastic greenhouses. The result was a high quality dataset of potential bare uncovered agricultural soil that allows further soil surface characterisation. This offered an improved understanding of the use of artificial covers, their spatial distribution, and their corresponding crops during the considered period. Artificial covers occurred most frequently in maize parcels. The approach resulted in precision values exceeding 0.9 for the detection of temporary covers and non-plastic greenhouses and a sensitivity value exceeding 0.95 for non-plastic and plastic greenhouses.</p></article>", "keywords": ["Technology", "SURFACE", "Science", "Environmental Sciences & Ecology", "TEXTURE", "artificial cover", "ALMERIA", "0203 Classical Physics", "soil", "Remote Sensing", "SUPPORT", "0909 Geomatic Engineering", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "agriculture", "2. Zero hunger", "plastic mulch", "Science & Technology", "IDENTIFICATION", "soil; agriculture; Sentinel-2; artificial cover; plastic mulch", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "CLOUD", "REFLECTANCE", "RESOLUTION", "13. Climate action", "Physical Sciences", "0401 agriculture", " forestry", " and fisheries", "4013 Geomatic engineering", "Sentinel-2", "GREENHOUSE", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://doi.org/10.3390/rs13214195"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13214195", "name": "item", "description": "10.3390/rs13214195", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13214195"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-20T00:00:00Z"}}, {"id": "10.31223/x5qd36", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:26Z", "type": "Journal Article", "created": "2022-08-31", "title": "A review of coarse mineral dust in the Earth system", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Mineral dust particles suspended in the atmosphere span more than three orders of magnitude in diameter, from less than 0.1 \u00b5m to more than 100 \u00b5m. This wide size range makes dust a unique aerosol species with the ability to interact with many aspects of the Earth system, including radiation, clouds, hydrology, atmospheric chemistry, and biogeochemistry. This review focuses on coarse and super-coarse dust aerosols, which we respectively define as dust particles with a diameter between 2.5 - 10 \u00b5m and 10 - 62.5 \u00b5m. We review several lines of observational evidence indicating that coarse and super-coarse dust particles are transported farther than previously expected and that the abundance of these particles is substantially underestimated in current global models. We synthesize previous studies that used observations, theories, and model simulations to highlight the impacts of coarse and super-coarse dust aerosols on the Earth system, including their effects on dust-radiation interactions, dust-cloud interactions, and atmospheric chemistry, and biogeochemistry. In addition, we examine several limitations in the representation of coarse and super-coarse dust aerosols in current model simulations and in remote-sensing retrievals. Because these limitations substantially contribute to the uncertainties in simulating the abundance and impacts of coarse and super-coarse dust aerosols, we offer some recommendations to facilitate future studies. Overall, we conclude that an accurate representation of coarse and super-coarse properties is critical in understanding the overall impacts of dust aerosols on the Earth system.</p></article>", "keywords": ["[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "info:eu-repo/classification/ddc/550", "550", "ddc:550", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Climate", "Size distribution", "Mineral dust", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Atmospheric Sciences", "Coarse dust", "Climate Action", "Environmental sciences", "Earth sciences", "13. Climate action", "Earth Sciences", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Earth system", "Environmental Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://escholarship.org/content/qt9cp497d5/qt9cp497d5.pdf"}, {"href": "https://doi.org/10.31223/x5qd36"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Aeolian%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.31223/x5qd36", "name": "item", "description": "10.31223/x5qd36", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.31223/x5qd36"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-02T00:00:00Z"}}, {"id": "2117/345717", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:11Z", "type": "Journal Article", "created": "2021-05-17", "title": "Estimating lockdown-induced European NO                     2                     changes using satellite and surface observations and air quality models", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. This study provides a comprehensive assessment of NO2 changes across the main European urban areas induced by COVID-19 lockdowns using satellite retrievals from the Tropospheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5p satellite, surface site measurements, and simulations from the Copernicus Atmosphere Monitoring Service (CAMS) regional ensemble of air quality models. Some recent TROPOMI-based estimates of changes in atmospheric NO2 concentrations have neglected the influence of weather variability between the reference and lockdown periods. Here we provide weather-normalized estimates based on a machine learning method (gradient boosting) along with an assessment of the biases that can be expected from methods that omit the influence of weather. We also compare the weather-normalized satellite-estimated NO2 column changes with weather-normalized surface NO2 concentration changes and the CAMS regional ensemble, composed of 11 models, using recently published estimates of emission reductions induced by the lockdown. All estimates show similar NO2 reductions. Locations where the lockdown measures were stricter show stronger reductions, and, conversely, locations where softer measures were implemented show milder reductions in NO2 pollution levels. Average reduction estimates based on either satellite observations (\u221223\u2009%), surface stations (\u221243\u2009%), or models (\u221232\u2009%) are presented, showing the importance of vertical sampling but also the horizontal representativeness. Surface station estimates are significantly changed when sampled to the TROPOMI overpasses (\u221237\u2009%), pointing out the importance of the variability in time of such estimates. Observation-based machine learning estimates show a stronger temporal variability than model-based estimates.</p></article>", "keywords": ["[SDE] Environmental Sciences", "550", "QC1-999", "551", "COVID-19 (Malaltia)", "01 natural sciences", "COVID-19 (Malaltia) -- Aspectes ambientals", "COVID-19 (Disease)", "Lockdown", "11. Sustainability", "Satellite images", "QD1-999", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Air quality models", "Physics", "Aire -- Qualitat", "COVID-19", "Surface observations", "Satellite observations", "Chemistry", "Meteorology and Atmospheric Sciences", "13. Climate action", "[SDE]Environmental Sciences", "Air quality", "Meteorologi och atmosf\u00e4rsvetenskap", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", ":Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]"]}, "links": [{"href": "https://doi.org/2117/345717"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/345717", "name": "item", "description": "2117/345717", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/345717"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-17T00:00:00Z"}}, {"id": "10.5194/bg-16-785-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:23Z", "type": "Journal Article", "created": "2019-02-12", "title": "Automatic high-frequency measurements of full soil greenhouse gas fluxes in a tropical forest", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Measuring in situ soil fluxes of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) continuously at high frequency requires appropriate technology. We tested the combination of a commercial automated soil CO2 flux chamber system (LI-8100A) with a CH4 and N2O analyzer (Picarro G2308) in a tropical rainforest for 4\u00a0months. A chamber closure time of 2\u2009min was sufficient for a reliable estimation of CO2 and CH4 fluxes (100\u2009% and 98.5\u2009% of fluxes were above minimum detectable flux \u2013 MDF, respectively). This closure time was generally not suitable for a reliable estimation of the low N2O fluxes in this ecosystem but was sufficient for detecting rare major peak events. A closure time of 25\u2009min was more appropriate for reliable estimation of most N2O fluxes (85.6\u2009% of measured fluxes are above MDF\u2009\u00b1\u20090.002\u2009nmol\u2009m\u22122\u2009s\u22121). Our study highlights the importance of adjusted closure time for each gas.                     </p></article>", "keywords": ["rain-forest", "nitrous-oxide", "Environmental management", "550", "[SDV]Life Sciences [q-bio]", "spatial variation", "01 natural sciences", "630", "land-use change", "Life", "QH501-531", "Meteorology & Atmospheric Sciences", "biogeochemical controls", "Physical geography and environmental geoscience", "Biology", "QH540-549.5", "0105 earth and related environmental sciences", "QE1-996.5", "Ecology", "Physics", "n2o", "emissions", "land-use change ; nitrous-oxide ; rain-forest ;biogeochemical controls ; chamber measurements ; spatial variation ; co2 ;emissions; n2o ; respiration", "Geology", "04 agricultural and veterinary sciences", "Biological Sciences", "15. Life on land", "Climate Action", "[SDV] Life Sciences [q-bio]", "Chemistry", "13. Climate action", "Earth Sciences", "co2", "0401 agriculture", " forestry", " and fisheries", "chamber measurements", "Climate Change Impacts and Adaptation", "Environmental Sciences", "respiration"]}, "links": [{"href": "https://bg.copernicus.org/articles/16/785/2019/bg-16-785-2019.pdf"}, {"href": "https://escholarship.org/content/qt73p9116t/qt73p9116t.pdf"}, {"href": "https://doi.org/10.5194/bg-16-785-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-16-785-2019", "name": "item", "description": "10.5194/bg-16-785-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-16-785-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-15T00:00:00Z"}}, {"id": "10.5194/acp-2021-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:20Z", "type": "Journal Article", "created": "2021-01-18", "title": "Contribution of the world's main dust source regions to the global cycle of desert dust", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Even though desert dust is the most abundant aerosol by mass in Earth's atmosphere, the relative contributions of the world\u2019s major dust source regions to the global dust cycle remain poorly constrained. This problem hinders accounting for the potentially large impact of regional differences in dust properties on clouds, the Earth's energy balance, and terrestrial and marine biogeochemical cycles. Here, we constrain the contribution of each of the world\u2019s main dust source regions to the global dust cycle. We use an analytical framework that integrates an ensemble of global model simulations with observationally informed constraints on the dust size distribution, extinction efficiency, and regional dust aerosol optical depth. We obtain a data set that constrains the relative contribution of each of nine major source regions to size-resolved dust emission, atmospheric loading, optical depth, concentration, and deposition flux. We find that the 22\u201329\u2009Tg (one standard error range) global loading of dust with geometric diameter up to 20\u2009\u03bcm is partitioned as follows: North African source regions contribute ~50\u2009% (11\u201315\u2009Tg), Asian source regions contribute ~40\u2009% (8\u201313\u2009Tg), and North American and Southern Hemisphere regions contribute ~10\u2009% (1.8\u20133.2\u2009Tg). Current models might on average be overestimating the contribution of North African sources to atmospheric dust loading at ~65\u2009%, while underestimating the contribution of Asian dust at ~30\u2009%. However, both our results and current models could be affected by unquantified biases, such as due to errors in separating dust aerosol optical depth from that produced by other aerosol species in remote sensing retrievals in poorly observed desert regions. Our results further show that each source region's dust loading peaks in local spring and summer, which is partially driven by increased dust lifetime in those seasons. We also quantify the dust deposition flux to the Amazon rainforest to be ~10\u2009Tg/year, which is a factor of 2\u20133 less than inferred from satellite data by previous work that likely overestimated dust deposition by underestimating the dust mass extinction efficiency. The data obtained in this paper can be used to obtain improved constraints on dust impacts on clouds, climate, biogeochemical cycles, and other parts of the Earth system.                         </p></article>", "keywords": ["Atmospheric sciences", "550", "QC1-999", "Global dust cycle", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida", "01 natural sciences", "Atmospheric Sciences", "Atmospheric models", "Earth's atmosphere", "Simulaci\u00f3 per ordinador", "Meteorology & Atmospheric Sciences", "Dust; Aerosols; Climate Models; Earth System Models;", "14. Life underwater", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", " environment", "Life Below Water", "QD1-999", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", " Atmosphere", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "info:eu-repo/classification/ddc/550", "Atmosphere", "Climate change science", "ddc:550", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Physics", "Aerosol model simulations", "15. Life on land", "Atmosfera -- Aspectes ambientals", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Climate Action", "Earth sciences", "Chemistry", "13. Climate action", ":Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida [\u00c0rees tem\u00e0tiques de la UPC]", "Air quality", "Earth Sciences", "Aerosols--Measurement", "Desert dust", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Astronomical and Space Sciences"]}, "links": [{"href": "https://boa.unimib.it/bitstream/10281/321610/1/Kok_2021_ACP_Dust-global.pdf"}, {"href": "https://acp.copernicus.org/articles/21/8169/2021/acp-21-8169-2021.pdf"}, {"href": "https://acp.copernicus.org/articles/21/8169/2021/acp-21-8169-2021-supplement.pdf"}, {"href": "https://escholarship.org/content/qt31s4c3tr/qt31s4c3tr.pdf"}, {"href": "https://escholarship.org/content/qt4f95b02f/qt4f95b02f.pdf"}, {"href": "https://doi.org/10.5194/acp-2021-4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Goldschmidt2021%20abstracts", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-2021-4", "name": "item", "description": "10.5194/acp-2021-4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-2021-4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.5194/acp-23-6487-2023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:21Z", "type": "Journal Article", "created": "2023-06-14", "title": "A new process-based and scale-aware desert dust emission scheme for global climate models \u2013 Part I: Description and evaluation against inverse modeling emissions", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Desert dust accounts for most of the atmosphere's aerosol burden by mass and produces numerous important impacts on the Earth system. However, current global climate models (GCMs) and land-surface models (LSMs) struggle to accurately represent key dust emission processes, in part because of inadequate representations of soil particle sizes that affect the dust emission threshold, surface roughness elements that absorb wind momentum, and boundary-layer characteristics that control wind fluctuations. Furthermore, because dust emission is driven by small-scale (\u223c\u20091\u2009km or smaller) processes, simulating the global cycle of desert dust in GCMs with coarse horizontal resolutions (\u223c\u2009100\u2009km) presents a fundamental challenge. This representation problem is exacerbated by dust emission fluxes scaling nonlinearly with wind speed above a threshold wind speed that is sensitive to land-surface characteristics. Here, we address these fundamental problems underlying the simulation of dust emissions in GCMs and LSMs by developing improved descriptions of (1)\u00a0the effect of soil texture on the dust emission threshold, (2)\u00a0the effects of nonerodible roughness elements (both rocks and green vegetation) on the surface wind stress, and (3)\u00a0the effects of boundary-layer turbulence on driving intermittent dust emissions. We then use the resulting revised dust emission parameterization to simulate global dust emissions in a standalone model forced by reanalysis meteorology and land-surface fields. We further propose (4)\u00a0a simple methodology to rescale lower-resolution dust emission simulations to match the spatial variability of higher-resolution emission simulations in GCMs. The resulting dust emission simulation shows substantially improved agreement against regional dust emissions observationally constrained by inverse modeling. We thus find that our revised dust emission parameterization can substantially improve dust emission simulations in GCMs and\u00a0LSMs.                     </p></article>", "keywords": ["Atmospheric sciences", "info:eu-repo/classification/ddc/550", "550", "Climate change science", "ddc:550", "Physics", "QC1-999", "15. Life on land", "Atmospheric Sciences", "Climate Action", "[SDU] Sciences of the Universe [physics]", "Earth sciences", "Chemistry", "13. Climate action", "[SDU]Sciences of the Universe [physics]", "Earth Sciences", "Meteorology & Atmospheric Sciences", "QD1-999", "Astronomical and Space Sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/23/6487/2023/acp-23-6487-2023.pdf"}, {"href": "https://escholarship.org/content/qt2fk4w0h1/qt2fk4w0h1.pdf"}, {"href": "https://doi.org/10.5194/acp-23-6487-2023"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-23-6487-2023", "name": "item", "description": "10.5194/acp-23-6487-2023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-23-6487-2023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-14T00:00:00Z"}}, {"id": "10.5194/acp-21-3973-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:21Z", "type": "Journal Article", "created": "2021-03-17", "title": "Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The large uncertainty in the mineral dust direct radiative effect (DRE) hinders projections of future climate change due to anthropogenic activity. Resolving modeled dust mineral speciation allows for spatially and temporally varying refractive indices consistent with dust aerosol composition. Here, for the first time, we quantify the range in dust DRE at the top of the atmosphere (TOA) due to current uncertainties in the surface soil mineralogical content using a dust mineral-resolving climate model. We propagate observed uncertainties in soil mineral abundances from two soil mineralogy atlases along with the optical properties of each mineral into the DRE and compare the resultant range with other sources of uncertainty across six climate models. The shortwave DRE responds region-specifically to the dust burden depending on the mineral speciation and underlying shortwave surface albedo: positively when the regionally averaged annual surface albedo is larger than 0.28 and negatively otherwise. Among all minerals examined, the shortwave TOA DRE and single scattering albedo at the 0.44\u20130.63\u2009\u00b5m band are most sensitive to the fractional contribution of iron oxides to the total dust composition. The global net (shortwave plus longwave) TOA DRE is estimated to be within \u22120.23 to +0.35\u2009W\u2009m\u22122. Approximately 97\u2009% of this range relates to uncertainty in the soil abundance of iron oxides. Representing iron oxide with solely hematite optical properties leads to an overestimation of shortwave DRE by +0.10\u2009W\u2009m\u22122 at the TOA, as goethite is not as absorbing as hematite in the shortwave spectrum range. Our study highlights the importance of iron oxides to the shortwave DRE: they have a disproportionally large impact on climate considering their small atmospheric mineral mass fractional burden (\u223c2\u2009%). An improved description of iron oxides, such as those planned in the Earth Surface Mineral Dust Source Investigation (EMIT), is thus essential for more accurate estimates of the dust DRE.                     </p></article>", "keywords": ["Mineral dusts", "Atmospheric sciences", "550", "QC1-999", "Iron oxides", "01 natural sciences", "Atmospheric Sciences", ":Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]", "[SDU] Sciences of the Universe [physics]", "\u00d2xids de ferro", "Pols", "Meteorology & Atmospheric Sciences", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica", "QD1-999", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Climate change science", "ddc:550", "Physics", "Climatic changes", "15. Life on land", "Climate Action", "Earth sciences", "Chemistry", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "Earth Sciences", "Astronomical and Space Sciences", "Canvis clim\u00e0tics"]}, "links": [{"href": "https://acp.copernicus.org/articles/21/3973/2021/acp-21-3973-2021.pdf"}, {"href": "https://escholarship.org/content/qt27c9p2v2/qt27c9p2v2.pdf"}, {"href": "https://doi.org/10.5194/acp-21-3973-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-21-3973-2021", "name": "item", "description": "10.5194/acp-21-3973-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-21-3973-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-15T00:00:00Z"}}, {"id": "10.5194/acp-21-8127-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:21Z", "type": "Journal Article", "created": "2021-05-27", "title": "Improved representation of the global dust cycle using observational constraints on dust properties and abundance", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Even though desert dust is the most abundant aerosol by mass in Earth's atmosphere, atmospheric models struggle to accurately represent its spatial and temporal distribution. These model errors are partially caused by fundamental difficulties in simulating dust emission in coarse-resolution models and in accurately representing dust microphysical properties. Here we mitigate these problems by developing a new methodology that yields an improved representation of the global dust cycle. We present an analytical framework that uses inverse modeling to integrate an ensemble of global model simulations with observational constraints on the dust size distribution, extinction efficiency, and regional dust aerosol optical depth. We then compare the inverse model results against independent measurements of dust surface concentration and deposition flux and find that errors are reduced by approximately a factor of 2\u00a0relative to current model simulations of the Northern Hemisphere dust cycle. The inverse model results show smaller improvements in the less dusty Southern Hemisphere, most likely because both the model simulations and the observational constraints used in the inverse model are less accurate. On a global basis, we find that the emission flux of dust with a geometric diameter up to 20\u2009\u00b5m (PM20) is approximately 5000\u2009Tg\u2009yr\u22121, which is greater than most models account for. This larger PM20 dust flux is needed to match observational constraints showing a large atmospheric loading of coarse dust. We obtain gridded datasets of dust emission, vertically integrated loading, dust aerosol optical depth, (surface) concentration, and wet and dry deposition fluxes that are resolved by season and particle size. As our results indicate that this dataset is more accurate than current model simulations and the MERRA-2 dust reanalysis product, it can be used to improve quantifications of dust impacts on the Earth system.                     </p></article>", "keywords": ["Atmospheric sciences", "550", "QC1-999", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida", "Dust emissions", "01 natural sciences", "Earth system -- environmental sciences", "Atmospheric Sciences", "Dust; Aerosol; Climate Models; Earth System Models;", "Atmospheric models", "Simulaci\u00f3 per ordinador", "Meteorology & Atmospheric Sciences", "Atmospheric model simulations", "QD1-999", "Earth system", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "info:eu-repo/classification/ddc/550", "Atmosphere", "Climate change science", "ddc:550", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Physics", "Dust", "Computer simulation", "15. Life on land", "Atmosfera -- Aspectes ambientals", "520", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Climate Action", "Earth sciences", "Chemistry", "Model simulation", "13. Climate action", ":Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida [\u00c0rees tem\u00e0tiques de la UPC]", "Earth Sciences", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", "Aerosols--Measurement", "Desert dust", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Astronomical and Space Sciences", ":Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]"]}, "links": [{"href": "https://boa.unimib.it/bitstream/10281/321612/2/10281-321612_VoR.pdf"}, {"href": "https://acp.copernicus.org/articles/21/8127/2021/acp-21-8127-2021.pdf"}, {"href": "https://acp.copernicus.org/articles/21/8127/2021/acp-21-8127-2021-supplement.pdf"}, {"href": "https://escholarship.org/content/qt5g7457v8/qt5g7457v8.pdf"}, {"href": "https://doi.org/10.5194/acp-21-8127-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-21-8127-2021", "name": "item", "description": "10.5194/acp-21-8127-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-21-8127-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-23T00:00:00Z"}}, {"id": "10.5194/acp-22-3553-2022", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:21Z", "type": "Journal Article", "created": "2022-03-17", "title": "Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003\u20132017)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Quantifying the dust optical depth (DOD) and its uncertainty across spatiotemporal scales is key to understanding and constraining the dust cycle and its interactions with the Earth System. This study quantifies the DOD along with its monthly and year-to-year variability between 2003 and 2017 at global and regional levels based on the MIDAS (ModIs Dust AeroSol) dataset, which combines Moderate Resolution Imaging Spectroradiometer (MODIS)-Aqua retrievals and Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), reanalysis products. We also describe the annual and seasonal geographical distributions of DOD across the main dust source regions and transport pathways. MIDAS provides columnar mid-visible (550\u2009nm) DOD at fine spatial resolution (0.1\u2218\u00d70.1\u2218), expanding the current observational capabilities for monitoring the highly variable spatiotemporal features of the dust burden. We obtain a global DOD of 0.032\u00b10.003 \u2013 approximately a quarter (23.4\u2009%\u00b12.4\u2009%) of the global aerosol optical depth (AOD) \u2013 with about 1\u00a0order of magnitude more DOD in the Northern Hemisphere (0.056\u00b10.004; 31.8\u2009%\u00b12.7\u2009%) than in the Southern Hemisphere (0.008\u00b10.001; 8.2\u2009%\u00b11.1\u2009%) and about 3.5 times more DOD over land (0.070\u00b10.005) than over ocean (0.019\u00b10.002). The Northern Hemisphere monthly DOD is highly correlated with the corresponding monthly AOD (R2=0.94) and contributes 20\u2009% to 48\u2009% of it, both indicating a dominant dust contribution. In contrast, the contribution of dust to the monthly AOD does not exceed 17\u2009% in the Southern Hemisphere, although the uncertainty in this region is larger. Among the major dust sources of the planet, the maximum DODs (\u223c1.2) are recorded in the Bod\u00e9l\u00e9 Depression of the northern Lake Chad Basin, whereas moderate-to-high intensities are encountered in the Western Sahara (boreal summer), along the eastern parts of the Middle East (boreal summer) and in the Taklamakan Desert (spring). Over oceans, major long-range dust transport is observed primarily along the tropical Atlantic (intensified during boreal summer) and secondarily in the North Pacific (intensified during boreal spring). Our calculated global and regional averages and associated uncertainties are consistent with some but not all recent observation-based studies. Our work provides a simple yet flexible method to estimate consistent uncertainties across spatiotemporal scales, which will enhance the use of the MIDAS dataset in a variety of future studies.                     </p></article>", "keywords": ["Mineral dusts", ":Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia [\u00c0rees tem\u00e0tiques de la UPC]", "Physics", "QC1-999", "MIDAS global dataset", "16. Peace & justice", "01 natural sciences", "Atmospheric Sciences", "Climate Action", "Chemistry", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia", "13. Climate action", "Mineral dust particles", "Simulaci\u00f3 per ordinador", "Pols", "Meteorology & Atmospheric Sciences", "Datasets", "Dust optical depth (DOD)", "Earth System", "QD1-999", "Astronomical and Space Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/22/3553/2022/acp-22-3553-2022.pdf"}, {"href": "https://escholarship.org/content/qt9v38c6qs/qt9v38c6qs.pdf"}, {"href": "https://doi.org/10.5194/acp-22-3553-2022"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-22-3553-2022", "name": "item", "description": "10.5194/acp-22-3553-2022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-22-3553-2022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-19T00:00:00Z"}}, {"id": "10.5194/bg-15-3625-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:23Z", "type": "Journal Article", "created": "2018-06-18", "title": "Reviews and syntheses: Carbonyl sulfide as a\u00a0multi-scale tracer for carbon and water cycles", "description": "<p>Abstract. For the past decade, observations of carbonyl sulfide (OCS or COS) have been investigated as a\uffc2\uffa0proxy for carbon uptake by plants. OCS is destroyed by enzymes that interact with CO2 during photosynthesis, namely carbonic anhydrase (CA) and RuBisCO, where CA is the more important one. The majority of sources of OCS to the atmosphere are geographically separated from this large plant sink, whereas the sources and sinks of CO2 are co-located in ecosystems. The drawdown of OCS can therefore be related to the uptake of CO2 without the added complication of co-located emissions comparable in magnitude. Here we review the state of our understanding of the global OCS cycle and its applications to ecosystem carbon cycle science. OCS uptake is correlated well to plant carbon uptake, especially at the regional scale. OCS can be used in conjunction with other independent measures of ecosystem function, like solar-induced fluorescence and carbon and water isotope studies. More work needs to be done to generate global coverage for OCS observations and to link this powerful atmospheric tracer to systems where fundamental questions concerning the carbon and water cycle remain.                     </p>", "keywords": ["570", "550", "GLOBAL BIOGEOCHEMICAL CYCLE", "isotope du carbone", "01 natural sciences", "[PHYS.PHYS.PHYS-AO-PH] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]", "ANTHROPOGENIC EMISSIONS INVENTORY", "Life", "[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "QH501-531", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "Meteorology & Atmospheric Sciences", "REDUCED SULFUR GASES", "OH-INITIATED OXIDATION", "photosynth\u00e8se", "anhydrase carbonique", "QUANTUM CASCADE LASER", "SOUTHERN GREAT-PLAINS", "ORGANIC VOLATILE SULFUR", "QH540-549.5", "0105 earth and related environmental sciences", "[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]", "QE1-996.5", "Ecology", "FT-IR PRODUCT", "GROSS PRIMARY PRODUCTION", "Geology", "Biological Sciences", "15. Life on land", "Climate Action", "Environmental sciences", "atmosph\u00e8re", "absorption racinaire", "sulfure de carbonyle", "13. Climate action", "NORTHEAST ATLANTIC-OCEAN", "Earth Sciences", "Environmental Sciences"]}, "links": [{"href": "http://oro.open.ac.uk/56080/1/Whelan%20etal%20%2718%20bgs_COS%20review.pdf"}, {"href": "http://oceanrep.geomar.de/43577/1/bg-15-3625-2018.pdf"}, {"href": "https://bg.copernicus.org/articles/15/3625/2018/bg-15-3625-2018.pdf"}, {"href": "https://escholarship.org/content/qt5ft9v0bw/qt5ft9v0bw.pdf"}, {"href": "https://escholarship.org/content/qt7b184769/qt7b184769.pdf"}, {"href": "https://doi.org/10.5194/bg-15-3625-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-15-3625-2018", "name": "item", "description": "10.5194/bg-15-3625-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-15-3625-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-24T00:00:00Z"}}, {"id": "10.5194/bg-10-2671-2013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:22Z", "type": "Journal Article", "created": "2012-07-28", "title": "Nitrous Oxide Emissions From European Agriculture - An Analysis Of Variability And Drivers Of Emissions From Field Experiments", "description": "<p>Abstract. Nitrous oxide emissions from a network of agricultural experiments in Europe and Zimbabwe were used to explore the relative importance of site and management controls of emissions. At each site, a selection of management interventions were compared within replicated experimental designs in plot based experiments. Arable experiments were conducted at Beano in Italy, El Encin in Spain, Foulum in Denmark, Log\uffc3\uffa5rden in Sweden, Maulde in Belgium, Paulinenaue in Germany, Harare in Zimbabwe and Tulloch in the UK. Grassland experiments were conducted at Crichton, Nafferton and Peaknaze in the UK, G\uffc3\uffb6d\uffc3\uffb6ll\uffc3\uffb6 in Hungary, Rzecin in Poland, Zarnekow in Germany and Theix in France. Nitrous oxide emissions were measured at each site over a period of at least two years using static chambers. Emissions varied widely between sites and as a result of manipulation treatments. Average site emissions (throughout the study period) varied between 0.04 and 21.21 kg N2O-N ha\uffe2\uff88\uff921 yr\uffe2\uff88\uff921, with the largest fluxes and variability associated with the grassland sites. Total nitrogen addition was found to be the single most important determinant of emissions, accounting for 15% of the variance (using linear regression) in the data from the arable sites (p &lt; 0.0001), and 77% in the grassland sites. The annual emissions from arable sites were significantly greater than those that would be predicted by IPCC default emission factors. Variability in N2O within sites that occurred as a result of manipulation treatments was greater than that resulting from site to site and year to year variation, highlighting the importance of management interventions in contributing to greenhouse gas mitigation.                         </p>", "keywords": ["Technology", "Atmospheric sciences", "550", "FILLED PORE-SPACE;N2O EMISSIONS;GRASSLAND SYSTEMS;CO2 EMISSIONS;SOILS;MANAGEMENT;FLUXES;FERTILIZATION;CROP;NO", "Economics", "[SDV]Life Sciences [q-bio]", "Environmental protection", "630", "Agricultural and Biological Sciences", "Engineering", "Life", "QH501-531", "FERTILIZATION", "Arable land", "QH540-549.5", "2. Zero hunger", "QE1-996.5", "GRASSLAND SYSTEMS", "Nitrous oxide", "Ecology", "Agricultura", "Life Sciences", "Agriculture", "Hydrology (agriculture)", "Geology", "Agriculture-Farming", "Qu\u00edmica", "04 agricultural and veterinary sciences", "Chemical Engineering", "Grassland", "[SDV] Life Sciences [q-bio]", "Physical Sciences", "FLUXES", "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems", "571", "Soil Science", "N2O EMISSIONS", "Greenhouse gas", "Environmental science", "NO", "MANAGEMENT", "Environmental Chemistry", "Chemical and Biological Technologies for Odor Control", "Biology", "FOS: Chemical engineering", "Process Chemistry and Technology", "Nitrogen Dynamics", "Production", "CROP", "FOS: Earth and related environmental sciences", "15. Life on land", "FILLED PORE-SPACE", "Agronomy", "SOILS", "Geotechnical engineering", "CO2 EMISSIONS", "13. Climate action", "Earth and Environmental Sciences", "FOS: Biological sciences", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Fertilizer Applications"]}, "links": [{"href": "https://air.uniud.it/bitstream/11390/876174/1/Rees_et_al_2013.pdf"}, {"href": "https://univ-lyon1.hal.science/hal-02522217/file/2013_Rees_Biogeosciences_1.pdf"}, {"href": "https://doi.org/10.5194/bg-10-2671-2013"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-10-2671-2013", "name": "item", "description": "10.5194/bg-10-2671-2013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-10-2671-2013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-07-27T00:00:00Z"}}, {"id": "10.5194/essd-9-697-2017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:32Z", "type": "Journal Article", "created": "2017-09-12", "description": "<p>Abstract. Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire dynamics in many regions. To develop a mechanistic understanding of the changing role of these drivers and their impact on atmospheric composition, long-term fire records are needed that fuse information from different satellite and in situ data streams. Here we describe the fourth version of the Global Fire Emissions Database (GFED) and quantify global fire emissions patterns during 1997\uffe2\uff80\uff932016. The modeling system, based on the Carnegie\uffe2\uff80\uff93Ames\uffe2\uff80\uff93Stanford Approach (CASA) biogeochemical model, has several modifications from the previous version and uses higher quality input datasets. Significant upgrades include (1)\uffc2\uffa0new burned area estimates with contributions from small fires, (2)\uffc2\uffa0a revised fuel consumption parameterization optimized using field observations, (3)\uffc2\uffa0modifications that improve the representation of fuel consumption in frequently burning landscapes, and (4)\uffc2\uffa0fire severity estimates that better represent continental differences in burning processes across boreal regions of North America and Eurasia. The new version has a higher spatial resolution (0.25\uffc2\uffb0) and uses a different set of emission factors that separately resolves trace gas and aerosol emissions from temperate and boreal forest ecosystems. Global mean carbon emissions using the burned area dataset with small fires (GFED4s) were 2.2\uffe2\uff80\uffaf\uffe2\uff80\uff89\uffc3\uff97\uffe2\uff80\uff89\uffe2\uff80\uffaf1015\uffc2\uffa0grams of carbon per year (Pg\uffe2\uff80\uffafC\uffe2\uff80\uffafyr\uffe2\uff88\uff921) during 1997\uffe2\uff80\uff932016, with a maximum in 1997 (3.0\uffe2\uff80\uffafPg\uffe2\uff80\uffafC\uffe2\uff80\uffafyr\uffe2\uff88\uff921) and minimum in 2013 (1.8\uffe2\uff80\uffafPg\uffe2\uff80\uffafC\uffe2\uff80\uffafyr\uffe2\uff88\uff921). These estimates were 11\uffe2\uff80\uffaf% higher than our previous estimates (GFED3) during 1997\uffe2\uff80\uff932011, when the two datasets overlapped. This net increase was the result of a substantial increase in burned area (37\uffe2\uff80\uffaf%), mostly due to the inclusion of small fires, and a modest decrease in mean fuel consumption (\uffe2\uff88\uff9219\uffe2\uff80\uffaf%) to better match estimates from field studies, primarily in savannas and grasslands. For trace gas and aerosol emissions, differences between GFED4s and GFED3 were often larger due to the use of revised emission factors. If small fire burned area was excluded (GFED4 without the s for small fires), average emissions were 1.5\uffe2\uff80\uffafPg\uffe2\uff80\uffafC\uffe2\uff80\uffafyr\uffe2\uff88\uff921. The addition of small fires had the largest impact on emissions in temperate North America, Central America, Europe, and temperate Asia. This small fire layer carries substantial uncertainties; improving these estimates will require use of new burned area products derived from high-resolution satellite imagery. Our revised dataset provides an internally consistent set of burned area and emissions that may contribute to a better understanding of multi-decadal changes in fire dynamics and their impact on the Earth system. GFED data are available from http://www.globalfiredata.org.                     </p>", "keywords": ["Atmospheric sciences", "QE1-996.5", "Life on Land", "Geology", "15. Life on land", "01 natural sciences", "7. Clean energy", "Physical Geography and Environmental Geoscience", "Atmospheric Sciences", "Climate Action", "Environmental sciences", "Geochemistry", "13. Climate action", "Geoinformatics", "8. Economic growth", "11. Sustainability", "Earth Sciences", "GE1-350", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://escholarship.org/content/qt2pm0d581/qt2pm0d581.pdf"}, {"href": "https://doi.org/10.5194/essd-9-697-2017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-9-697-2017", "name": "item", "description": "10.5194/essd-9-697-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-9-697-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-09-12T00:00:00Z"}}, {"id": "10.5194/gmd-11-3903-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:33Z", "type": "Journal Article", "created": "2018-09-27", "title": "GOLUM-CNP v1.0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Global terrestrial nitrogen (N) and phosphorus (P) cycles are coupled to the global carbon (C) cycle for net primary production (NPP), plant C allocation, and decomposition of soil organic matter, but N and P have distinct pathways of inputs and losses. Current C-nutrient models exhibit large uncertainties in their estimates of pool sizes, fluxes, and turnover rates of nutrients, due to a lack of consistent global data for evaluating the models. In this study, we present a new model\u2013data fusion framework called the Global Observation-based Land-ecosystems Utilization Model of Carbon, Nitrogen and Phosphorus (GOLUM-CNP) that combines the CARbon DAta MOdel fraMework (CARDAMOM) data-constrained C-cycle analysis with spatially explicit data-driven estimates of N and P inputs and losses and with observed stoichiometric ratios. We calculated the steady-state N- and P-pool sizes and fluxes globally for large biomes. Our study showed that new N inputs from biological fixation and deposition supplied &gt;20\u2009% of total plant uptake in most forest ecosystems but accounted for smaller fractions in boreal forests and grasslands. New P inputs from atmospheric deposition and rock weathering supplied a much smaller fraction of total plant uptake than new N inputs, indicating the importance of internal P recycling within ecosystems to support plant growth. Nutrient-use efficiency, defined as the ratio of gross primary production (GPP) to plant nutrient uptake, were diagnosed from our model results and compared between biomes. Tropical forests had the lowest N-use efficiency and the highest P-use efficiency of the forest biomes. An analysis of sensitivity and uncertainty indicated that the NPP-allocation fractions to leaves, roots, and wood contributed the most to the uncertainties in the estimates of nutrient-use efficiencies. Correcting for biases in NPP-allocation fractions produced more plausible gradients of N- and P-use efficiencies from tropical to boreal ecosystems and highlighted the critical role of accurate measurements of C allocation for understanding the N and P cycles.                     </p></article>", "keywords": ["Atmospheric sciences", "550", "Organic chemistry", "Carbon Dynamics in Peatland Ecosystems", "Deposition (geology)", "01 natural sciences", "Nutrient cycle", "Agricultural and Biological Sciences", "Terrestrial ecosystem", "Biome", "Taiga", "2. Zero hunger", "QE1-996.5", "Ecology", "Primary production", "Nutrient Cycling", "Life Sciences", "Phosphorus", "Geology", "Carbon cycle", "Nitrogen Cycle", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Chemistry", "Physical Sciences", "environment", "Ecosystem Functioning", "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems", "Nitrogen", "Soil Science", "Environmental science", "Environmental Chemistry", "New production", "Soil Carbon Sequestration", "Biology", "Ecosystem", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "ddc:550", "Nitrogen Dynamics", "Paleontology", "FOS: Earth and related environmental sciences", "15. Life on land", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Phytoplankton", "Sediment", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Nutrient"]}, "links": [{"href": "https://gmd.copernicus.org/articles/11/3903/2018/gmd-11-3903-2018.pdf"}, {"href": "https://doi.org/10.5194/gmd-11-3903-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-11-3903-2018", "name": "item", "description": "10.5194/gmd-11-3903-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-11-3903-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-22T00:00:00Z"}}, {"id": "10.5194/hess-2019-105", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:34Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\u2009km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\u2009km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\u20132018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\u20132018). The field was seeded for the 2014\u20132015 (S1), 2016\u20132017 (S2) and 2017\u20132018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\u20132016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \u03b1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \u03b1PT remains at a mostly constant value (\u223c\u20090.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\u2009W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\u2009W/m2 for S1, S2, S3 and B1 respectively.                         </p></article>", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.5194/hess-2019-105"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-2019-105", "name": "item", "description": "10.5194/hess-2019-105", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-2019-105"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.5194/hess-24-1781-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:35Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "<p>Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\uffe2\uff80\uff89km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\uffe2\uff80\uff89km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\uffe2\uff80\uff932018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\uffe2\uff80\uff932018). The field was seeded for the 2014\uffe2\uff80\uff932015 (S1), 2016\uffe2\uff80\uff932017 (S2) and 2017\uffe2\uff80\uff932018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\uffe2\uff80\uff932016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \uffce\uffb1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \uffce\uffb1PT remains at a mostly constant value (\uffe2\uff88\uffbc\uffe2\uff80\uff890.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\uffe2\uff80\uff89W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\uffe2\uff80\uff89W/m2 for S1, S2, S3 and B1 respectively.                         </p>", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.5194/hess-24-1781-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-24-1781-2020", "name": "item", "description": "10.5194/hess-24-1781-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-24-1781-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.5194/hess-24-3789-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:35Z", "type": "Journal Article", "created": "2020-07-27", "title": "Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The main objective of this work is to question the representation of the energy budget in soil\u2013vegetation\u2013atmosphere transfer\u00a0(SVAT) models for the prediction of the turbulent fluxes in the case of irrigated crops with a complex structure (row) and under strong transient hydric regimes due to irrigation. To this end, the Interaction between Soil, Biosphere, and Atmosphere\u00a0(ISBA-A-gs) is evaluated at a complex open olive orchard and, for the purposes of comparison, on a winter wheat field taken as an example of a homogeneous canopy. The initial version of ISBA-A-gs, based on a composite energy budget (hereafter ISBA-1P for one\u00a0patch), is compared to the new multiple energy balance\u00a0(MEB) version of ISBA that represents a double source arising from the vegetation located above the soil layer. In addition, a patch representation corresponding to two adjacent, uncoupled source schemes (hereafter ISBA-2P for two\u00a0patches) is also considered for the olive orchard. Continuous observations of evapotranspiration\u00a0(ET), with an eddy covariance system and plant transpiration\u00a0(Tr) with sap flow and isotopic methods were used to evaluate the three representations. A preliminary sensitivity analyses showed a strong sensitivity to the parameters related to turbulence in the canopy introduced in the new ISBA\u2013MEB version. For wheat, the ability of the single- and dual-source configuration to reproduce the composite soil\u2013vegetation heat fluxes was very similar; the root mean square error (RMSE) differences between ISBA-1P, ISBA-2P and ISBA\u2013MEB did not exceed 10\u2009W\u2009m\u22122 for the latent heat flux. These results showed that a composite energy balance in homogeneous covers is sufficient to reproduce the total convective fluxes. The two configurations are also fairly close to the isotopic observations of transpiration in spite of a light underestimation (overestimation) of ISBA-1P\u00a0(ISBA\u2013MEB). At the olive orchard, contrasting results are obtained. The dual-source configurations, including both the uncoupled\u00a0(ISBA-2P) and the coupled\u00a0(ISBA\u2013MEB) representations, outperformed the single-source version\u00a0(ISBA-1P), with slightly better results for ISBA\u2013MEB in predicting both total heat fluxes and evapotranspiration partition. Concerning plant transpiration in particular, the coupled approach ISBA\u2013MEB provides better results than ISBA-1P and, to a lesser extent, ISBA-2P with RMSEs of\u00a01.60, 0.90, and 0.70\u2009mm\u2009d\u22121 and R2\u00a0of\u00a00.43, 0.69, and\u00a00.70\u00a0for ISBA-1P, ISBA-2P and ISBA\u2013MEB, respectively. In addition, it is shown that the acceptable predictions of composite convective fluxes by ISBA-2P for the olive orchard are obtained for the wrong reasons as neither of the two patches is in agreement with the observations because of a bad spatial distribution of the roots and a lack of incoming radiation screening for the bare soil patch. This work shows that composite convection fluxes predicted by the SURFace EXternalis\u00e9e (SURFEX) platform and the partition of evapotranspiration in a highly transient regime due to irrigation is improved for moderately open tree canopies by the new coupled dual-source ISBA\u2013MEB model. It also points out the need for further local-scale evaluations on different crops of various geometry (more open rainfed agriculture or a denser, intensive olive orchard) to provide adequate parameterisation to global database, such as ECOCLIMAP-II, in the view of a global application of the ISBA\u2013MEB model.                     </p></article>", "keywords": ["Technology", "Atmospheric Science", "Atmospheric sciences", "550", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "02 engineering and technology", "Energy balance", "Eddy covariance", "Environmental technology. Sanitary engineering", "01 natural sciences", "Environmental science", "G", "Meteorology", "Geography. Anthropology. Recreation", "GE1-350", "Biology", "TD1-1066", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Evapotranspiration", "Ecology", "Global Forest Drought Response and Climate Change", "T", "Causes and Impacts of Climate Change Over Millennia", "Physics", "Hydrology (agriculture)", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "Earth and Planetary Sciences", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Global Drought Monitoring and Assessment", "Leaf area index", "Thermodynamics", "Global Vegetation Models"]}, "links": [{"href": "https://doi.org/10.5194/hess-24-3789-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-24-3789-2020", "name": "item", "description": "10.5194/hess-24-3789-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-24-3789-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-15T00:00:00Z"}}, {"id": "10.5194/tc-12-3293-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:37Z", "type": "Journal Article", "created": "2018-03-09", "title": "Carbonaceous material export from Siberian permafrost tracked across the Arctic Shelf using Raman spectroscopy", "description": "<p>Abstract. Warming-induced erosion of permafrost from Eastern Siberia mobilises large amounts of organic carbon and delivers it to the East Siberian Arctic Shelf (ESAS). In this study Raman spectroscopy of Carbonaceous Material (CM) was used to characterise, identify and track the most recalcitrant fraction of the organic load. 1463 spectra were obtained from surface sediments collected across the ESAS and automatically analysed for their Raman peaks. Spectra were classified by their peak areas and widths into Disordered, Intermediate, Mildly Graphitised and Highly Graphitised groups, and the distribution of these classes was investigated across the shelf. Disordered CM was most prevalent in a permafrost core from Kurungnakh Island, and from areas known to have high rates of coastal erosion. Sediments from outflows of the Indigirka and Kolyma rivers were generally enriched in Intermediate CM. These different sediment sources were identified and distinguished along an E-W transect using their Raman spectra, showing that sediment is not homogenised on the ESAS. Distal samples, from the ESAS slope, contained greater amounts of Highly Graphitised CM compared to the rest of the shelf, attributable to degradation or, more likely, winnowing processes offshore. The presence of all four spectral classes in distal sediments demonstrates that CM degrades much slower than lipid biomarkers and other traditional tracers of terrestrial organic matter, and shows that alongside degradation of the more labile organic matter component there is also conservative transport of carbon across the shelf toward the deep ocean. Thus, carbon cycle calculations must consider the nature as well as the amount of carbon liberated from thawing permafrost and other erosional settings.                         </p>", "keywords": ["Ocean", "River", "QE1-996.5", "550", "500", "Terrigenous Organic-Matter", "Geology", "Terrestrial", "Old Carbon", "01 natural sciences", "Sediments", "Environmental sciences", "Degradation", "13. Climate action", "Laptev Sea", "Meteorology & Atmospheric Sciences", "Graphite", "GE1-350", "0405 Oceanography", "14. Life underwater", "Black Carbon", "0406 Physical Geography And Environmental Geoscience", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://tc.copernicus.org/articles/12/3293/2018/tc-12-3293-2018.pdf"}, {"href": "https://doi.org/10.5194/tc-12-3293-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Cryosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/tc-12-3293-2018", "name": "item", "description": "10.5194/tc-12-3293-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/tc-12-3293-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-09T00:00:00Z"}}, {"id": "1854/LU-8751352", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Journal Article", "created": "2022-03-29", "title": "Mapping Soil Properties with Fixed Rank Kriging of Proximally Sensed Soil Data Fused with Sentinel-2 Biophysical Parameter", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil surveys with line-scanning platforms appear to have great advantages over the traditional methods used to collect soil information for the development of field-scale soil mapping and applications. These carry VNIR (visible and near infrared) spectrometers and have been used in recent years extensively for the assessment of soil fertility at the field scale, and the delineation of site-specific management zones (MZ). A challenging feature of VNIR applications in precision agriculture (PA) is the massiveness of the derived datasets that contain point predictions of soil properties, and the interpolation techniques involved in incorporating these data into site-specific management plans. In this study, fixed-rank kriging (FRK) geostatistical interpolation, which is a flexible, non-stationary spatial interpolation method especially suited to handling huge datasets, was applied to massive VNIR soil scanner data for the production of useful, smooth interpolated maps, appropriate for the delineation of site-specific MZ maps. Moreover, auxiliary Sentinel-2 data-based biophysical parameters NDVI (normalized difference vegetation index) and fAPAR (fraction of photosynthetically active radiation absorbed by the canopy) were included as covariates to improve the filtering performance of the interpolator and the ability to generate uniform patterns of spatial variation from which it is easier to receive a meaningful interpretation in PA applications. Results from the VNIR prediction dataset obtained from a pivot-irrigated field in Albacete, southeastern Spain, during 2019, have shown that FRK variants outperform ordinary kriging in terms of filtering capacity, by doubling the noise removal metrics while keeping the computation cost reasonably low. Such features, along with the capacity to handle a large volume of spatial information, nominate the method as ideal for PA applications with massive proximal and remote sensing datasets.</p></article>", "keywords": ["Technology", "MANAGEMENT ZONES", "PREDICTION", "NDVI", "SPATIAL VARIABILITY", "Science", "MODELS", "PHYSICAL-PROPERTIES", "ONLINE", "Environmental Sciences & Ecology", "VNIR spectrometer", "geostatistical interpolation", "VARIABLES", "0203 Classical Physics", "Remote Sensing", "geostatistical interpolation; VNIR spectrometer; NDVI; fAPAR; precision agriculture", "0909 Geomatic Engineering", "QUALITY", "DATA FUSION", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "agriculture", "Science & Technology", "precision agriculture", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "DELINEATION", "Earth and Environmental Sciences", "Physical Sciences", "fAPAR", "0401 agriculture", " forestry", " and fisheries", "precision", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/7/1639/pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/7/1639/pdf"}, {"href": "https://doi.org/1854/LU-8751352"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8751352", "name": "item", "description": "1854/LU-8751352", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8751352"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-29T00:00:00Z"}}, {"id": "10.5445/ir/1000160199", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:29Z", "type": "Journal Article", "created": "2023-06-14", "title": "A new process-based and scale-aware desert dust emission scheme for global climate models \u2013 Part I: Description and evaluation against inverse modeling emissions", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Desert dust accounts for most of the atmosphere's aerosol burden by mass and produces numerous important impacts on the Earth system. However, current global climate models (GCMs) and land-surface models (LSMs) struggle to accurately represent key dust emission processes, in part because of inadequate representations of soil particle sizes that affect the dust emission threshold, surface roughness elements that absorb wind momentum, and boundary-layer characteristics that control wind fluctuations. Furthermore, because dust emission is driven by small-scale (\u223c\u20091\u2009km or smaller) processes, simulating the global cycle of desert dust in GCMs with coarse horizontal resolutions (\u223c\u2009100\u2009km) presents a fundamental challenge. This representation problem is exacerbated by dust emission fluxes scaling nonlinearly with wind speed above a threshold wind speed that is sensitive to land-surface characteristics. Here, we address these fundamental problems underlying the simulation of dust emissions in GCMs and LSMs by developing improved descriptions of (1)\u00a0the effect of soil texture on the dust emission threshold, (2)\u00a0the effects of nonerodible roughness elements (both rocks and green vegetation) on the surface wind stress, and (3)\u00a0the effects of boundary-layer turbulence on driving intermittent dust emissions. We then use the resulting revised dust emission parameterization to simulate global dust emissions in a standalone model forced by reanalysis meteorology and land-surface fields. We further propose (4)\u00a0a simple methodology to rescale lower-resolution dust emission simulations to match the spatial variability of higher-resolution emission simulations in GCMs. The resulting dust emission simulation shows substantially improved agreement against regional dust emissions observationally constrained by inverse modeling. We thus find that our revised dust emission parameterization can substantially improve dust emission simulations in GCMs and\u00a0LSMs.</p></article>", "keywords": ["Atmospheric sciences", "info:eu-repo/classification/ddc/550", "550", "Climate change science", "ddc:550", "Physics", "QC1-999", "15. Life on land", "Atmospheric Sciences", "Climate Action", "[SDU] Sciences of the Universe [physics]", "Earth sciences", "Chemistry", "13. Climate action", "[SDU]Sciences of the Universe [physics]", "Earth Sciences", "Meteorology & Atmospheric Sciences", "QD1-999", "Astronomical and Space Sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/23/6487/2023/acp-23-6487-2023.pdf"}, {"href": "https://escholarship.org/content/qt2fk4w0h1/qt2fk4w0h1.pdf"}, {"href": "https://doi.org/10.5445/ir/1000160199"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5445/ir/1000160199", "name": "item", "description": "10.5445/ir/1000160199", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5445/ir/1000160199"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-14T00:00:00Z"}}, {"id": "10261/202882", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:16Z", "type": "Journal Article", "created": "2019-07-01", "title": "Direct observation of permafrost degradation and rapid soil carbon loss in tundra", "description": "Peer reviewed", "keywords": ["Climate Action", "13. Climate action", "Meteorology & Atmospheric Sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://escholarship.org/content/qt1fz2t88c/qt1fz2t88c.pdf"}, {"href": "https://doi.org/10261/202882"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/202882", "name": "item", "description": "10261/202882", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/202882"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "3185943994", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:48Z", "type": "Journal Article", "created": "2022-03-17", "title": "Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003\u20132017)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Quantifying the dust optical depth (DOD) and its uncertainty across spatiotemporal scales is key to understanding and constraining the dust cycle and its interactions with the Earth System. This study quantifies the DOD along with its monthly and year-to-year variability between 2003 and 2017 at global and regional levels based on the MIDAS (ModIs Dust AeroSol) dataset, which combines Moderate Resolution Imaging Spectroradiometer (MODIS)-Aqua retrievals and Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), reanalysis products. We also describe the annual and seasonal geographical distributions of DOD across the main dust source regions and transport pathways. MIDAS provides columnar mid-visible (550\u2009nm) DOD at fine spatial resolution (0.1\u2218\u00d70.1\u2218), expanding the current observational capabilities for monitoring the highly variable spatiotemporal features of the dust burden. We obtain a global DOD of 0.032\u00b10.003 \u2013 approximately a quarter (23.4\u2009%\u00b12.4\u2009%) of the global aerosol optical depth (AOD) \u2013 with about 1\u00a0order of magnitude more DOD in the Northern Hemisphere (0.056\u00b10.004; 31.8\u2009%\u00b12.7\u2009%) than in the Southern Hemisphere (0.008\u00b10.001; 8.2\u2009%\u00b11.1\u2009%) and about 3.5 times more DOD over land (0.070\u00b10.005) than over ocean (0.019\u00b10.002). The Northern Hemisphere monthly DOD is highly correlated with the corresponding monthly AOD (R2=0.94) and contributes 20\u2009% to 48\u2009% of it, both indicating a dominant dust contribution. In contrast, the contribution of dust to the monthly AOD does not exceed 17\u2009% in the Southern Hemisphere, although the uncertainty in this region is larger. Among the major dust sources of the planet, the maximum DODs (\u223c1.2) are recorded in the Bod\u00e9l\u00e9 Depression of the northern Lake Chad Basin, whereas moderate-to-high intensities are encountered in the Western Sahara (boreal summer), along the eastern parts of the Middle East (boreal summer) and in the Taklamakan Desert (spring). Over oceans, major long-range dust transport is observed primarily along the tropical Atlantic (intensified during boreal summer) and secondarily in the North Pacific (intensified during boreal spring). Our calculated global and regional averages and associated uncertainties are consistent with some but not all recent observation-based studies. Our work provides a simple yet flexible method to estimate consistent uncertainties across spatiotemporal scales, which will enhance the use of the MIDAS dataset in a variety of future studies.                     </p></article>", "keywords": ["Mineral dusts", ":Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia [\u00c0rees tem\u00e0tiques de la UPC]", "Physics", "QC1-999", "MIDAS global dataset", "16. Peace & justice", "01 natural sciences", "Atmospheric Sciences", "Climate Action", "Chemistry", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia", "13. Climate action", "Mineral dust particles", "Simulaci\u00f3 per ordinador", "Pols", "Meteorology & Atmospheric Sciences", "Datasets", "Dust optical depth (DOD)", "Earth System", "QD1-999", "Astronomical and Space Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/22/3553/2022/acp-22-3553-2022.pdf"}, {"href": "https://escholarship.org/content/qt9v38c6qs/qt9v38c6qs.pdf"}, {"href": "https://doi.org/3185943994"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3185943994", "name": "item", "description": "3185943994", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3185943994"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-19T00:00:00Z"}}, {"id": "2117/415321", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:12Z", "type": "Journal Article", "created": "2024-09-16", "title": "Recent improvements and maximum covariance analysis of aerosol and cloud properties in the EC-Earth3-AerChem model", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Given the importance of aerosols and clouds and their interactions in the climate system, it is imperative that the global Earth system models accurately represent processes associated with them. This is an important prerequisite if we are to narrow the uncertainties in future climate projections. In practice, this means that continuous model evaluations and improvements grounded in observations are necessary. Numerous studies in the past few decades have shown both the usability and the limitations of utilizing satellite-based observations in understanding and evaluating aerosol\u2013cloud interactions, particularly under varying meteorological and satellite sensor sensitivity paradigms. Furthermore, the vast range of spatio-temporal scales at which aerosol and cloud processes occur adds another dimension to the challenges faced when evaluating climate models. In this context, the aim of this study is two-fold. (1)\u00a0We evaluate the most recent, significant changes in the representation of aerosol and cloud processes implemented in the EC-Earth3-AerChem model in the framework of the EU project FORCeS compared with its previous CMIP6 version (Coupled Model Intercomparison Project Phase\u00a06; https://pcmdi.llnl.gov/CMIP6/, last access: 13\u00a0February\u00a02019). We focus particularly on evaluating cloud physical properties and radiative effects, wherever possible, using a satellite simulator. We report on the overall improvements in the EC-Earth3-AerChem model. In particular, the strong warm bias chronically seen over the Southern Ocean is reduced significantly. (2)\u00a0A statistical, maximum covariance analysis is carried out between aerosol optical depth (AOD) and cloud droplet (CD) effective radius based on the recent EC-Earth3-AerChem/FORCeS simulation to understand to what extent the Twomey effect can manifest itself in the larger spatio-temporal scales. We focus on the three oceanic low-level cloud regimes that are important due to their strong net cooling effect and where pollution outflow from the nearby continent is simultaneously pervasive. We report that the statistical covariability between AOD and CD effective radius is indeed dominantly visible even at the climate scale when the aerosol amount and composition are favourably preconditioned to allow for aerosol\u2013cloud interactions. Despite this strong covariability, our analysis shows a strong cooling/warming in shortwave cloud radiative effects at the top of the atmosphere in our study regions associated with an increase/decrease in CD effective radius. This cooling/warming can be attributed to the increase/decrease in low cloud fraction, in line with previous observational studies.</p></article>", "keywords": ["Climatology", "QE1-996.5", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Canvi clim\u00e0tic", "550", "Geology", "Aerosols atmosf\u00e8rics", "15. Life on land", "Atmospheric aerosols", "An\u00e0lisi de covari\u00e0ncia", "Meteorology and Atmospheric Sciences", "13. Climate action", "Clouds", "Climatologia", "Analysis of covariance", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria civil::Geologia::Mineralogia", "Meteorologi och atmosf\u00e4rsvetenskap", "14. Life underwater", "N\u00favols"]}, "links": [{"href": "https://gmd.copernicus.org/articles/17/6903/2024/gmd-17-6903-2024.pdf"}, {"href": "https://doi.org/2117/415321"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/415321", "name": "item", "description": "2117/415321", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/415321"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-15T00:00:00Z"}}, {"id": "10.60692/g4rcv-eqz54", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:55Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\u2009km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\u2009km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\u20132018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\u20132018). The field was seeded for the 2014\u20132015 (S1), 2016\u20132017 (S2) and 2017\u20132018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\u20132016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \u03b1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \u03b1PT remains at a mostly constant value (\u223c\u20090.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\u2009W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\u2009W/m2 for S1, S2, S3 and B1 respectively.</p></article>", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.60692/g4rcv-eqz54"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/g4rcv-eqz54", "name": "item", "description": "10.60692/g4rcv-eqz54", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/g4rcv-eqz54"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Atmospheric+sciences&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Atmospheric+sciences&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Atmospheric+sciences&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Atmospheric+sciences&offset=50", "hreflang": "en-US"}], "numberMatched": 84, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-05-25T02:58:43.032291Z"}