{"type": "FeatureCollection", "features": [{"id": "10.1002/2016JD026099", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:13:55Z", "type": "Journal Article", "created": "2017-04-07", "title": "Global soil moisture bimodality in satellite observations and climate models", "description": "Abstract<p>A new diagnostic metric based on soil moisture bimodality is developed in order to examine and compare soil moisture from satellite observations and Earth System Models. The methodology to derive this diagnostic is based on maximum likelihood estimator encoded into an iterative algorithm, which is applied to the soil moisture probability density function. This metric is applied to satellite data from the Advanced Microwave Scanning Radiometer for the Earth Observing System and global climate models data from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Results show high soil moisture bimodality in transitional climate areas and high latitudes, potentially associated with land\uffe2\uff80\uff90atmosphere feedback processes. When comparing satellite versus climate models, a clear difference in their soil moisture bimodality is observed, with systematically higher values in the case of CMIP5 models. These differences appear related to areas where land\uffe2\uff80\uff90atmospheric feedback may be overestimated in current climate models.</p>", "keywords": ["PREFERENTIAL STATES", "IMPACT", "MIXTURE", "SCHEME", "0207 environmental engineering", "NORMAL-DISTRIBUTIONS", "02 engineering and technology", "15. Life on land", "01 natural sciences", "PART I", "satellite soil moisture", "climate models", "13. Climate action", "Earth and Environmental Sciences", "LAND-SURFACE MODEL", "PRECIPITATION", "SDG 13 - Climate Action", "CMIP5", "ATMOSPHERE COUPLING EXPERIMENT", "land-atmosphere interactions", "soil moisture", "bimodality", "SYSTEM", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2016JD026099"}, {"href": "https://doi.org/10.1002/2016JD026099"}, {"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": "10.1002/2016JD026099", "name": "item", "description": "10.1002/2016JD026099", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2016JD026099"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-04-27T00:00:00Z"}}, {"id": "10.5194/acp-2021-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:34Z", "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-2022-742", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:35Z", "type": "Journal Article", "created": "2022-11-07", "title": "Insights into the single particle composition, size, mixing state and aspect ratio of freshly emitted mineral dust from field measurements in the Moroccan Sahara using electron microscopy", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The chemical and morphological properties of mineral dust aerosols emitted by wind erosion from arid and semi-arid regions influence climate, ocean and land ecosystems, air quality, and multiple socio-economic sectors. However, there is an incomplete understanding of the emitted dust particle size distribution (PSD) in terms of its constituent minerals that typically result from the fragmentation of soil aggregates during wind erosion. The emitted dust PSD affects the duration of particle transport and thus each mineral\u2019s global distribution, along with its specific effect upon climate. This lack of understanding is largely due to the scarcity of relevant in situ measurements in dust sources. To advance our understanding of the physicochemical properties of the emitted dust PSD, we present insights into the elemental composition and morphology of individual dust particles collected during the FRontiers in dust minerAloGical coMposition and its Effects upoN climaTe (FRAGMENT) field campaign in the Moroccan Sahara in September 2019. We analyzed more than 300,000 freshly emitted individual particles by performing offline analysis in the laboratory using Scanning Electron Microscopy (SEM) coupled with Energy-Dispersive X-ray Spectrometry (EDX). Eight major particle-type classes were identified where clay minerals make up the majority of the analyzed particles by number, with carbonates and quartz contributing to a lesser extent. We provide an exhaustive analysis of the size distribution and potential mixing state of different particle types, focusing largely on iron-rich (Fe-oxi/hydroxides) and feldspar particles, which are key to the effects of dust upon radiation and clouds. Nearly pure or externally mixed Fe-oxi/hydroxides are present only in diameters smaller than 2 \u00b5m and mainly below 1 \u00b5m. Fe-oxi/hydroxides tend to be increasingly internally mixed with other minerals, especially clays, as particle size increases, i.e., the volume fraction of Fe-oxi/hydroxides in aggregates decreases with particle size. Pure (externally-mixed) feldspar grains represented 3.7 % of all the particles, of which we estimated about a quarter to be K-feldspar. The externally-mixed total feldspar and K-feldspar abundances are relatively invariant with particle size, in contrast to the increasing abundance of feldspar-like (internally-mixed) aggregates with particle size. We also found that overall the median aspect ratio is rather constant across particle size and mineral groups, although we obtain slightly higher aspect ratios for internally-mixed particles. The detailed information on the composition of freshly emitted individual dust particles along with the quantitative analysis of their mixing state presented here can be used to constrain climate models including mineral species in their representation of the dust cycle.                         </p></article>", "keywords": ["Atmospheric chemistry", "550", "QC1-999", "http://metadata.un.org/sdg/3", "Mineral dust", "01 natural sciences", "Climate models", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia", "Aerosols Measurement", "Pols minerals", "QD1-999", "Ensure healthy lives and promote well-being for all at all ages", "0105 earth and related environmental sciences", "mineral dust", "info:eu-repo/classification/ddc/550", "electron microscopy", "ddc:550", "Physics", "15. Life on land", "info:eu-repo/classification/udc/502.3/.7", "Pollution", "Moroccan Sahara", "Earth sciences", "Chemistry", "13. Climate action", "Mineral dust particles", "Air quality", "Desert dust"]}, "links": [{"href": "https://acp.copernicus.org/articles/23/3861/2023/acp-23-3861-2023.pdf"}, {"href": "https://acp.copernicus.org/articles/23/3861/2023/acp-23-3861-2023-supplement.pdf"}, {"href": "https://doi.org/10.5194/acp-2022-742"}, {"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-2022-742", "name": "item", "description": "10.5194/acp-2022-742", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-2022-742"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-07T00:00:00Z"}}, {"id": "10.5194/acp-21-8127-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:35Z", "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": "10281/321610", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:24:43Z", "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": "2026-07-26T16:24:43Z", "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": "20.500.12556/RUNG-9073", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:26Z", "type": "Journal Article", "created": "2022-11-07", "title": "Insights into the single particle composition, size, mixing state and aspect ratio of freshly emitted mineral dust from field measurements in the Moroccan Sahara using electron microscopy", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The chemical and morphological properties of mineral dust aerosols emitted by wind erosion from arid and semi-arid regions influence climate, ocean and land ecosystems, air quality, and multiple socio-economic sectors. However, there is an incomplete understanding of the emitted dust particle size distribution (PSD) in terms of its constituent minerals that typically result from the fragmentation of soil aggregates during wind erosion. The emitted dust PSD affects the duration of particle transport and thus each mineral\u2019s global distribution, along with its specific effect upon climate. This lack of understanding is largely due to the scarcity of relevant in situ measurements in dust sources. To advance our understanding of the physicochemical properties of the emitted dust PSD, we present insights into the elemental composition and morphology of individual dust particles collected during the FRontiers in dust minerAloGical coMposition and its Effects upoN climaTe (FRAGMENT) field campaign in the Moroccan Sahara in September 2019. We analyzed more than 300,000 freshly emitted individual particles by performing offline analysis in the laboratory using Scanning Electron Microscopy (SEM) coupled with Energy-Dispersive X-ray Spectrometry (EDX). Eight major particle-type classes were identified where clay minerals make up the majority of the analyzed particles by number, with carbonates and quartz contributing to a lesser extent. We provide an exhaustive analysis of the size distribution and potential mixing state of different particle types, focusing largely on iron-rich (Fe-oxi/hydroxides) and feldspar particles, which are key to the effects of dust upon radiation and clouds. Nearly pure or externally mixed Fe-oxi/hydroxides are present only in diameters smaller than 2 \u00b5m and mainly below 1 \u00b5m. Fe-oxi/hydroxides tend to be increasingly internally mixed with other minerals, especially clays, as particle size increases, i.e., the volume fraction of Fe-oxi/hydroxides in aggregates decreases with particle size. Pure (externally-mixed) feldspar grains represented 3.7 % of all the particles, of which we estimated about a quarter to be K-feldspar. The externally-mixed total feldspar and K-feldspar abundances are relatively invariant with particle size, in contrast to the increasing abundance of feldspar-like (internally-mixed) aggregates with particle size. We also found that overall the median aspect ratio is rather constant across particle size and mineral groups, although we obtain slightly higher aspect ratios for internally-mixed particles. The detailed information on the composition of freshly emitted individual dust particles along with the quantitative analysis of their mixing state presented here can be used to constrain climate models including mineral species in their representation of the dust cycle.</p></article>", "keywords": ["Atmospheric chemistry", "550", "QC1-999", "http://metadata.un.org/sdg/3", "Mineral dust", "01 natural sciences", "Climate models", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia", "Aerosols Measurement", "Pols minerals", "QD1-999", "Ensure healthy lives and promote well-being for all at all ages", "0105 earth and related environmental sciences", "mineral dust", "info:eu-repo/classification/ddc/550", "electron microscopy", "ddc:550", "Physics", "15. Life on land", "info:eu-repo/classification/udc/502.3/.7", "Pollution", "Moroccan Sahara", "Earth sciences", "Chemistry", "13. Climate action", "Mineral dust particles", "Air quality", "Desert dust"]}, "links": [{"href": "https://acp.copernicus.org/articles/23/3861/2023/acp-23-3861-2023.pdf"}, {"href": "https://acp.copernicus.org/articles/23/3861/2023/acp-23-3861-2023-supplement.pdf"}, {"href": "https://doi.org/20.500.12556/RUNG-9073"}, {"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": "20.500.12556/RUNG-9073", "name": "item", "description": "20.500.12556/RUNG-9073", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.12556/RUNG-9073"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-07T00:00:00Z"}}, {"id": "2164/6134", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:37Z", "type": "Journal Article", "created": "2016-05-13", "title": "Modeling Soil Processes: Review, Key Challenges, and New Perspectives", "description": "Core Ideas                     <p>                                                                           <p>A community effort is needed to move soil modeling forward.</p>                                                                             <p>Establishing an international soil modeling consortium is key in this respect.</p>                                                                             <p>There is a need to better integrate existing knowledge in soil models.</p>                                                                             <p>Integration of data and models is a key challenge in soil modeling.</p>                                                                     </p>                     <p>The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.</p>", "keywords": ["organic-matter dynamics", "550", "Sciences de l\u2019environnement & \u00e9cologie", "QH301 Biology", "Knowledge management", "0208 environmental biotechnology", "ECOSYSTEM SERVICES", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "Biological process", "ANZSRC::3707 Hydrology", "DROUGHT SEVERITY INDEX", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "Climate change", "0503 Soil Sciences", "GROUND-PENETRATING RADAR", "Integration of knowledge", "Life sciences", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "Physical Sciences", "Water Resources", "Knowledge and experience", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "Scientific discipline", "0703 Crop and Pasture Production", "0207 environmental engineering", "Soil Science", "soil science", "ORGANIC-MATTER DYNAMICS", "DATA ASSIMILATION", "Physical", " chemical", " mathematical & earth Sciences", "ANZSRC::0503 Soil Sciences", "Science disciplines", "PEDOTRANSFER FUNCTIONS", "Feedback mechanisms", "mod\u00e9lisation", "ground-penetrating radar", "Science & Technology", "ANZSRC::080110 Simulation and Modelling", "15. Life on land", "Sciences de la terre & g\u00e9ographie physique", "multiple ecosystem services", "root water-uptake", "Observation and measurement", "DIGITAL ELEVATION MODEL", "Quality of predictions", "SATURATED-UNSATURATED FLOW", "ARBUSCULAR MYCORRHIZAL FUNGI", "sciences du sol", "HYDRAULIC-PROPERTIES", "2. Zero hunger", "Agriculture", "diffuse-reflectance spectroscopy", "4106 Soil sciences", "ORGANIC-MATTER", "digital elevation model", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "Sciences du vivant", "Uncertainty analysis", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "Crop and Pasture Production", "101028 Mathematical modelling", "international soil modeling consortium", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Environmental Sciences & Ecology", "arbuscular mycorrhizal fungi", "Ecosystems", "Climate models", "QH301", "Environmental sciences & ecology", "Life Science", "SEDIMENT TRANSPORT MODELS", "data integration", "sediment transport models", "approche ecosyst\u00e9mique", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "3707 Hydrology", "soil modeling", "ROOT WATER-UPTAKE", "SOLUTE TRANSPORT", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "Earth sciences & physical geography", "Soils", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "Environmental Sciences", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics."]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/263634/1/Vereecken%20VZJ%202016.pdf"}, {"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/2164/6134"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/6134", "name": "item", "description": "2164/6134", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/6134"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Climate+models&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=Climate+models&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=Climate+models&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Climate+models&offset=8", "hreflang": "en-US"}], "numberMatched": 8, "numberReturned": 8, "distributedFeatures": [], "timeStamp": "2026-07-27T05:14:39.473274Z"}