{"type": "FeatureCollection", "features": [{"id": "10.1002/2015gb005239", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:13:50Z", "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": "10.1007/s11027-020-09916-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:43Z", "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": "10.1029/2017JD027827", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:30Z", "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": "10.5194/tc-2018-16", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:51Z", "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": "2026-05-25T16:17:31Z", "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": "2026-05-25T16:17:31Z", "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": "10.1038/s41561-019-0318-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:40Z", "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": "2026-05-25T16:17:40Z", "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": "2026-05-25T16:17:40Z", "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": "2026-05-25T16:17:40Z", "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": "2026-05-25T16:17:40Z", "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": "10.1088/1748-9326/6/3/034028", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:14Z", "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": "10.5194/gmd-17-6903-2024", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:48Z", "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": "2117/345717", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:24Z", "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": "2026-05-25T16:21:38Z", "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": "2026-05-25T16:21:35Z", "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": "2026-05-25T16:21:36Z", "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": "2026-05-25T16:21:35Z", "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": "2026-05-25T16:21:35Z", "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": "2026-05-25T16:21:35Z", "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": "2026-05-25T16:21:37Z", "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/tc-12-3293-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:51Z", "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": "10.5445/ir/1000160199", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:23:42Z", "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": "2026-05-25T16:24:28Z", "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": "2117/415321", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:25Z", "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": "10044/1/67327", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:23Z", "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/10044/1/67327"}, {"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": "10044/1/67327", "name": "item", "description": "10044/1/67327", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/67327"}, {"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": "10067/1574910151162165141", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:24Z", "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", "Meteorology & Atmospheric Sciences (science-metrix)", "3103 Ecology (for-2020)", "land-use change", "Life", "QH501-531", "4101 Climate Change Impacts and Adaptation (for-2020)", "Meteorology & Atmospheric Sciences", "04 Earth Sciences (for)", "biogeochemical controls", "Physical geography and environmental geoscience", "Biology", "QH540-549.5", "0105 earth and related environmental sciences", "QE1-996.5", "31 Biological Sciences (for-2020)", "41 Environmental Sciences (for-2020)", "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", "4104 Environmental management (for-2020)", "06 Biological Sciences (for)", "Climate Action", "[SDV] Life Sciences [q-bio]", "Chemistry", "13. Climate action", "Earth Sciences", "co2", "0401 agriculture", " forestry", " and fisheries", "13 Climate Action (sdg)", "chamber measurements", "Climate Change Impacts and Adaptation", "3709 Physical geography and environmental geoscience (for-2020)", "Environmental Sciences", "05 Environmental Sciences (for)", "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/10067/1574910151162165141"}, {"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": "10067/1574910151162165141", "name": "item", "description": "10067/1574910151162165141", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10067/1574910151162165141"}, {"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": "10281/321610", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:36Z", "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": ["550", "3702 Climate change science (for-2020)", "QC1-999", "Global dust cycle", "0201 Astronomical and Space Sciences (for)", "0401 Atmospheric Sciences (for)", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida", "3701 Atmospheric Sciences (for-2020)", "01 natural sciences", "Meteorology & Atmospheric Sciences (science-metrix)", "Atmospheric Sciences", "Atmospheric models", "Earth's atmosphere", "Simulaci\u00f3 per ordinador", "14 Life Below Water (sdg)", "Meteorology & Atmospheric Sciences", "Dust; Aerosols; Climate Models; Earth System Models;", "14. Life underwater", "Life Below Water", "QD1-999", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "info:eu-repo/classification/ddc/550", "3701 Atmospheric sciences (for-2020)", "Climate change science", "Atmosphere", "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", "37 Earth Sciences (for-2020)", "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", "13 Climate Action (sdg)", "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/10281/321610"}, {"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": "10281/321610", "name": "item", "description": "10281/321610", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10281/321610"}, {"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": "10281/321612", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:36Z", "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/10281/321612"}, {"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": "10281/321612", "name": "item", "description": "10281/321612", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10281/321612"}, {"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": "1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:02Z", "type": "Journal Article", "created": "2024-02-09", "title": "Improving the fire weather index system for peatlands using peat-specific hydrological input data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The Canadian Fire Weather Index (FWI) system, even though originally developed and calibrated for an upland Jack pine forest, is used globally to estimate fire danger for any fire environment. However, for some environments, such as peatlands, the applicability of the FWI in its current form, is often questioned. In this study, we replaced the original moisture codes of the FWI with hydrological estimates resulting from the assimilation of satellite-based L-band passive microwave observations into a peatland-specific land surface model. In a conservative approach that maintains the integrity of the original FWI structure, the distributions of the hydrological estimates were first matched to those of the corresponding original moisture codes before replacement. The resulting adapted FWI, hereafter called FWIpeat, was evaluated using satellite-based information on fire presence over boreal peatlands from 2010 through 2018. Adapting the FWI with model- and satellite-based hydrological information was found to be beneficial in estimating fire danger, especially when replacing the deeper moisture codes of the FWI. For late-season fires, further adaptations of the fine fuel moisture code show even more improvement due to the fact that late-season fires are more hydrologically driven. The proposed FWIpeat should enable improved monitoring of fire risk in boreal peatlands.</p></article>", "keywords": ["CARBON SINK", "Environmental technology. Sanitary engineering", "01 natural sciences", "G", "4406 Human geography", "Geography. Anthropology. Recreation", "Meteorology & Atmospheric Sciences", "GE1-350", "ALGORITHM", "Geosciences", " Multidisciplinary", "TD1-1066", "0105 earth and related environmental sciences", "QE1-996.5", "Science & Technology", "CLIMATE-CHANGE", "Strategic", " Defence & Security Studies", "CONSUMPTION", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "Environmental sciences", "SEVERITY", "0403 Geology", "0911 Maritime Engineering", "13. Climate action", "Physical Sciences", "Water Resources", "0401 agriculture", " forestry", " and fisheries", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://nhess.copernicus.org/articles/24/445/2024/nhess-24-445-2024.pdf"}, {"href": "https://doi.org/1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Natural%20Hazards%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8", "name": "item", "description": "1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-09T00:00:00Z"}}, {"id": "1983/5da4f0df-4d79-4aa3-9d5e-3d013ed9c52d", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:08Z", "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/1983/5da4f0df-4d79-4aa3-9d5e-3d013ed9c52d"}, {"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": "1983/5da4f0df-4d79-4aa3-9d5e-3d013ed9c52d", "name": "item", "description": "1983/5da4f0df-4d79-4aa3-9d5e-3d013ed9c52d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1983/5da4f0df-4d79-4aa3-9d5e-3d013ed9c52d"}, {"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": "2078.1/225292", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:20Z", "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/2078.1/225292"}, {"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": "2078.1/225292", "name": "item", "description": "2078.1/225292", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2078.1/225292"}, {"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": "21.11116/0000-0006-C73B-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:22Z", "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/21.11116/0000-0006-C73B-8"}, {"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": "21.11116/0000-0006-C73B-8", "name": "item", "description": "21.11116/0000-0006-C73B-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-0006-C73B-8"}, {"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": "21.11116/0000-0002-8A0B-7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:22Z", "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/21.11116/0000-0002-8A0B-7"}, {"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": "21.11116/0000-0002-8A0B-7", "name": "item", "description": "21.11116/0000-0002-8A0B-7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-0002-8A0B-7"}, {"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": "21.11116/0000-0003-DA49-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:22Z", "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/21.11116/0000-0003-DA49-6"}, {"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": "21.11116/0000-0003-DA49-6", "name": "item", "description": "21.11116/0000-0003-DA49-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-0003-DA49-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-24T00:00:00Z"}}, {"id": "21.11116/0000-0007-B413-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:22Z", "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": ["0301 basic medicine", "15. Life on land", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Meteorology & Atmospheric Sciences (science-metrix)", "Climate Action", "03 medical and health sciences", "37 Earth Sciences (for-2020)", "3709 Physical Geography and Environmental Geoscience (for-2020)", "13. Climate action", "Earth Sciences", "Meteorology & Atmospheric Sciences", "13 Climate Action (sdg)", "3709 Physical geography and environmental geoscience (for-2020)", "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/21.11116/0000-0007-B413-8"}, {"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": "21.11116/0000-0007-B413-8", "name": "item", "description": "21.11116/0000-0007-B413-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-0007-B413-8"}, {"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": "2117/342239", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:24Z", "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/2117/342239"}, {"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": "2117/342239", "name": "item", "description": "2117/342239", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/342239"}, {"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": "2117/364526", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:24Z", "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", "3702 Climate change science (for-2020)", "QC1-999", "0201 Astronomical and Space Sciences (for)", "0401 Atmospheric Sciences (for)", "3701 Atmospheric Sciences (for-2020)", "01 natural sciences", "Meteorology & Atmospheric Sciences (science-metrix)", "Atmospheric Sciences", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia", "Simulaci\u00f3 per ordinador", "Pols", "Meteorology & Atmospheric Sciences", "Datasets", "Dust optical depth (DOD)", "Earth System", "QD1-999", "0105 earth and related environmental sciences", ":Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia [\u00c0rees tem\u00e0tiques de la UPC]", "3701 Atmospheric sciences (for-2020)", "Physics", "MIDAS global dataset", "16. Peace & justice", "Climate Action", "Chemistry", "37 Earth Sciences (for-2020)", "13. Climate action", "Mineral dust particles", "13 Climate Action (sdg)", "Astronomical and Space 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/2117/364526"}, {"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": "2117/364526", "name": "item", "description": "2117/364526", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/364526"}, {"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": "2955470894", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:43Z", "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/2955470894"}, {"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": "2955470894", "name": "item", "description": "2955470894", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2955470894"}, {"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": "3036384722", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:53Z", "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/3036384722"}, {"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": "3036384722", "name": "item", "description": "3036384722", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3036384722"}, {"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": "3045287773", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:53Z", "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/3045287773"}, {"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": "3045287773", "name": "item", "description": "3045287773", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3045287773"}, {"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": "3163216605", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:26:01Z", "type": "Journal Article", "created": "2021-05-17", "title": "Estimating lockdown-induced European NO2 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/3163216605"}, {"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": "3163216605", "name": "item", "description": "3163216605", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3163216605"}, {"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": "3084540378", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:54Z", "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/3084540378"}, {"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": "3084540378", "name": "item", "description": "3084540378", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3084540378"}, {"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": "3185943994", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:26:03Z", "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"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Meteorology+&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=Meteorology+&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=Meteorology+&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Meteorology+&offset=44", "hreflang": "en-US"}], "numberMatched": 44, "numberReturned": 44, "distributedFeatures": [], "timeStamp": "2026-05-26T01:57:41.027166Z"}