In this study, we show that limitations in the representation of land cover and vegetation seasonality in the European Centre for Medium\uffe2\uff80\uff90Range Weather Forecasting (ECMWF) model are partially responsible for large biases (up to \uffe2\uff88\uffbc10\uffc2\uffb0C, either positive or negative depending on the region) on the simulated daily maximum land surface temperature (LST) with respect to satellite Earth Observations (EOs) products from the Land Surface Analysis Satellite Application Facility. The error patterns were coherent in offline land\uffe2\uff80\uff90surface and coupled land\uffe2\uff80\uff90atmosphere simulations, and in ECMWF's latest generation reanalysis (ERA5). Subsequently, we updated the ECMWF model's land cover characterization leveraging on state\uffe2\uff80\uff90of\uffe2\uff80\uff90the\uffe2\uff80\uff90art EOs\uffe2\uff80\uff94the European Space Agency Climate Change Initiative land cover data set and the Copernicus Global Land Services leaf area index. Additionally, we tested a clumping parameterization, introducing seasonality to the effective low vegetation coverage. The updates reduced the overall daily maximum LST bias and unbiased root\uffe2\uff80\uff90mean\uffe2\uff80\uff90squared errors. In contrast, the implemented updates had a neutral impact on daily minimum LST. Our results also highlighted the complex regional heterogeneities in the atmospheric sensitivity to land cover and vegetation changes, particularly with issues emerging over eastern Brazil and northeastern Asia. These issues called for a re\uffe2\uff80\uff90calibration of model parameters (e.g., minimum stomatal resistance, roughness length, rooting depth), along with a revision of several model assumptions (e.g., snow shading by high vegetation).
", "keywords": ["Atmospheric Science", "CLIMATE-CHANGE", "IMPACT", "PREDICTION", "SNOW SCHEME", "ASSIMILATION", "MODELS", "15. Life on land", "SOIL-MOISTURE", "01 natural sciences", "PREDICTABILITY", "VARIABILITY", "Geophysics", "Space and Planetary Science", "13. Climate action", "Earth and Environmental Sciences", "Earth and Planetary Sciences (miscellaneous)", "SENSITIVITY", "Research Article", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1029/2020jd034163"}, {"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": "10.1029/2020jd034163", "name": "item", "description": "10.1029/2020jd034163", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2020jd034163"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-02T00:00:00Z"}}, {"id": "10.1029/2018JE005899", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:25Z", "type": "Journal Article", "created": "2020-03-09", "title": "Initiation and Flow Conditions of Contemporary Flows in Martian Gullies", "description": "<p>Understanding the initial and flow conditions of contemporary flows in Martian gullies, generally believed to be triggered and fluidized by CO<sub>2</sub> sublimation, is crucial for deciphering climate conditions needed to trigger and sustain them. We employ the RAMMS (RApid Mass Movement Simulation) debris flow and avalanche model to back-calculate initial and flow conditions of recent flows in three gullies in Hale crater. We infer minimum release depths of 1.0&#8211;1.5 m and initial release volumes of 100&#8211;200 m<sup>3</sup>. Entrainment leads to final flow volumes that are 2.5&#8211;5.5 times larger than initially released, and entrainment is found necessary to match the observed flow deposits. Simulated mean cross-channel flow velocities decrease from 3&#8211;4 m s<sup>-1</sup> to ~1 m s<sup>-1</sup> from release area to flow terminus, while flow depths generally decrease from 0.5&#8211;1 m to 0.1&#8211;0.2 m. The mean cross-channel erosion depth and deposition thicknesses are _0.1&#8211;0.3 m. Back-calculated dry-Coulomb friction ranges from 0.1 to 0.25 and viscous turbulent friction between 100&#8211;200 m s<sup>-2</sup>, which are values similar to those of granular debris flows on Earth. These results suggest that recent flows in gullies are fluidized to a similar degree as are granular debris flows on Earth. Using a novel model for mass-flow fluidization by CO<sub>2</sub> sublimation we are able to show that under Martian atmospheric conditions very small volumetric fractions of CO<sub>2</sub> of ~1% within mass flows may indeed yield sufficiently large gas fluxes to cause fluidization and enhance flow mobility.</p>
", "keywords": ["Atmospheric Science", "550", "[SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology", "0211 other engineering and technologies", "Soil Science", "Mars", "Hale crater", "02 engineering and technology", "Aquatic Science", "carbon dioxide; gullies; Hale crater; Mars; modeling; RAMMS", "551", "Oceanography", "01 natural sciences", "[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology", "Geochemistry and Petrology", "Earth and Planetary Sciences (miscellaneous)", "SDG 13 - Climate Action", "Research Articles", "Water Science and Technology", "Earth-Surface Processes", "0105 earth and related environmental sciences", "Ecology", "Palaeontology", "carbon dioxide", "Forestry", "modeling", "RAMMS", "Geophysics", "Space and Planetary Science", "13. Climate action", "[SDU.STU.PL] Sciences of the Universe [physics]/Earth Sciences/Planetology", "gullies"]}, "links": [{"href": "http://dro.dur.ac.uk/28802/1/28802.pdf"}, {"href": "http://dro.dur.ac.uk/28802/2/28802.pdf"}, {"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2018JE005899"}, {"href": "https://doi.org/10.1029/2018JE005899"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Planets", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2018JE005899", "name": "item", "description": "10.1029/2018JE005899", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2018JE005899"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-01T00:00:00Z"}}, {"id": "10.1089/ast.2019.2132", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:06Z", "type": "Journal Article", "created": "2020-05-29", "title": "Fluvial Regimes, Morphometry, and Age of Jezero Crater Paleolake Inlet Valleys and Their Exobiological Significance for the 2020 Rover Mission Landing Site", "description": "Jezero crater has been selected as the landing site for the Mars 2020 Perseverance rover, because it contains a paleolake with two fan-deltas, inlet and outlet valleys. Using the data from the High Resolution Stereo Camera (HRSC) and the High Resolution Imaging Science Experiment (HiRISE), we conducted a quantitative geomorphological study of the inlet valleys of the Jezero paleolake. Results show that the strongest erosion is related to a network of deep valleys that cut into the highland bedrock well upstream of the Jezero crater and likely formed before the formation of the regional olivine-rich unit. In contrast, the lower sections of valleys display poor bedrock erosion and a lack of tributaries but are characterized by the presence of pristine landforms interpreted as fluvial bars from preserved channels, the discharge rates of which have been estimated at 103-104 m3s-1. The valleys' lower sections postdate the olivine-rich unit, are linked directly to the fan-deltas, and are thus formed in an energetic, late stage of activity. Although a Late Noachian age for the fan-deltas' formation is not excluded based on crosscutting relationships and crater counts, this indicates evidence of a Hesperian age with significant implications for exobiology.", "keywords": ["Geologic Sediments", "550", "landing site", "Extraterrestrial Environment", "Datasets as Topic", "Magnesium Compounds", "Mars", "01 natural sciences", "HRSC", "HiRISE", "[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology", "Taverne", "Exobiology", "0103 physical sciences", "Perseverance rover", "Off-Road Motor Vehicles", "Spacecraft", "fluvial landforms", "Fluvial deposits", " Sedimentology", " Landing site", " Mars", " Perseverance rover", "", "Landing site", "0105 earth and related environmental sciences", "Silicates", "500", "15. Life on land", "Agricultural and Biological Sciences (miscellaneous)", "Fluvial landforms", "Lakes", "Space and Planetary Science", "13. Climate action", "[SDU.STU.PL] Sciences of the Universe [physics]/Earth Sciences/Planetology", "Iron Compounds"]}, "links": [{"href": "https://www.liebertpub.com/doi/pdf/10.1089/ast.2019.2132"}, {"href": "https://doi.org/10.1089/ast.2019.2132"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Astrobiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1089/ast.2019.2132", "name": "item", "description": "10.1089/ast.2019.2132", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1089/ast.2019.2132"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-01T00:00:00Z"}}, {"id": "10.1089/ast.2020.2228", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:06Z", "type": "Journal Article", "created": "2020-05-21", "title": "Estimated Minimum Life Span of the Jezero Fluvial Delta (Mars)", "description": "The paleo-lake floor at the edge of the Jezero delta has been selected as the NASA 2020 rover landing site. In this article, we demonstrate the sequences of lake filling and delta formation and constrain the minimum life span of the Jezero paleo-lake from sedimentological and hydrological analyses. Two main phases of delta evolution can be recognized by utilizing imagery provided by the High Resolution Imaging Science Experiment (NASA Mars Reconnaissance Orbiter) and High Resolution Stereo Camera (ESA Mars Express): (1) basin infilling before the breaching of the Jezero rim and (2) the delta formation itself. Our results suggest that delta formation occurred over a minimum period of 90-550 years of hydrological activity. Breaching of the Jezero rim occurred in at least three distinct episodes, which spanned a far longer time-period than overall delta formation. This evolutionary history implies that the Jezero-lake floor would have been a haven for fine-grained sediment accumulation and hosted an active environment of significant astrobiological importance.", "keywords": ["Geologic Sediments", "Evolution", " Chemical", "550", "Extraterrestrial Environment", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Mars", "Neretva Vallis", "15. Life on land", "Jezero fan-delta", "Agricultural and Biological Sciences (miscellaneous)", "01 natural sciences", "Fluvial activity", "Lake", "Lakes", "[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology", "Space and Planetary Science", "13. Climate action", "Taverne", "Exobiology", "0103 physical sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Sedimentology", " Fluvial activity", " Jezero fan-delta", " Lake", " Landing site", " Mars", " Neretva Vallis", "[SDU.STU.PL] Sciences of the Universe [physics]/Earth Sciences/Planetology", "Landing site", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.liebertpub.com/doi/pdf/10.1089/ast.2020.2228"}, {"href": "https://doi.org/10.1089/ast.2020.2228"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Astrobiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1089/ast.2020.2228", "name": "item", "description": "10.1089/ast.2020.2228", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1089/ast.2020.2228"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-01T00:00:00Z"}}, {"id": "10.1093/mnras/staa3201", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:09Z", "type": "Journal Article", "created": "2020-10-16", "title": "Quantifying the structure of strong gravitational lens potentials with uncertainty-aware deep neural networks", "description": "ABSTRACTGravitational lensing is a powerful tool for constraining substructure in the mass distribution of galaxies, be it from the presence of dark matter sub-haloes or due to physical mechanisms affecting the baryons throughout galaxy evolution. Such substructure is hard to model and is either ignored by traditional, smooth modelling, approaches, or treated as well-localized massive perturbers. In this work, we propose a deep learning approach to quantify the statistical properties of such perturbations directly from images, where only the extended lensed source features within a mask are considered, without the need of any lens modelling. Our training data consist of mock lensed images assuming perturbing Gaussian Random Fields permeating the smooth overall lens potential, and, for the first time, using images of real galaxies as the lensed source. We employ a novel deep neural network that can handle arbitrary uncertainty intervals associated with the training data set labels as input, provides probability distributions as output, and adopts a composite loss function. The method succeeds not only in accurately estimating the actual parameter values, but also reduces the predicted confidence intervals by 10\uffc2\uffa0per\uffe2\uff80\uff89cent in an unsupervised manner, i.e. without having access to the actual ground truth values. Our results are invariant to the inherent degeneracy between mass perturbations in the lens and complex brightness profiles for the source. Hence, we can quantitatively and robustly quantify the smoothness of the mass density of thousands of lenses, including confidence intervals, and provide a consistent ranking for follow-up science.
", "keywords": ["Physics", "Gravitational lens", "Space and Planetary Science", "Astrophysics of Galaxies (astro-ph.GA)", "0103 physical sciences", "Deep neural networks", "FOS: Physical sciences", "Astronomy and Astrophysics", "Statistical physics", "Astrophysics - Astrophysics of Galaxies", "01 natural sciences"]}, "links": [{"href": "http://academic.oup.com/mnras/article-pdf/499/4/5641/34141333/staa3201.pdf"}, {"href": "https://doi.org/10.1093/mnras/staa3201"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Monthly%20Notices%20of%20the%20Royal%20Astronomical%20Society", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/mnras/staa3201", "name": "item", "description": "10.1093/mnras/staa3201", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/mnras/staa3201"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-17T00:00:00Z"}}, {"id": "10.1186/s40623-018-0795-7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:01Z", "type": "Journal Article", "created": "2018-02-12", "title": "Detection of water vapor time variations associated with heavy rain in northern Italy by geodetic and low-cost GNSS receivers", "description": "Abstract GNSS atmospheric water vapor monitoring is not yet routinely performed in Italy, particularly at the regional scale. However, in order to support the activities of regional environmental protection agencies, there is a widespread need to improve forecasting of heavy rainfall events. Localized convective rain forecasts are often misplaced in space and/or time, causing inefficiencies in risk mitigation activities. Water vapor information can be used to improve these forecasts. In collaboration with the environmental protection agencies of the Lombardy and Piedmont regions in northern Italy, we have collected and processed GNSS and weather station datasets for two heavy rain events: one which was spatially widespread, and another which was limited to few square kilometers. The time variations in water vapor derived from a regional GNSS network with inter-station distances on the order of 50\u00a0km were analyzed, and the relationship between the time variations and the evolution of the rain events was evaluated. Results showed a signature associated with the passage of the widespread rain front over each GNSS station within the area of interest. There was a peak in the precipitable water vapor value when the heavier precipitation area surrounded the station, followed by a steep decrease (5\u201310\u00a0mm in about 1\u00a0h) as the rainclouds moved past the station. The smaller-scale event, a convective storm a few kilometers in extent, was not detected by the regional GNSS network, but strong fluctuations in water vapor were detected by a low-cost station located near the area of interest.", "keywords": ["QB275-343", "QE1-996.5", "Intense rainfall", "GNSS meteorology; Intense rainfall; PWV variations; Geology; Space and Planetary Science", "0211 other engineering and technologies", "Geology", "02 engineering and technology", "01 natural sciences", "G", "GNSS meteorology", "13. Climate action", "Geography. Anthropology. Recreation", "PWV variations", "Geodesy", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://re.public.polimi.it/bitstream/11311/1069376/1/s40623-018-0795-7.pdf"}, {"href": "http://link.springer.com/content/pdf/10.1186/s40623-018-0795-7.pdf"}, {"href": "https://doi.org/10.1186/s40623-018-0795-7"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%2C%20Planets%20and%20Space", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1186/s40623-018-0795-7", "name": "item", "description": "10.1186/s40623-018-0795-7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1186/s40623-018-0795-7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-02-12T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Space+and+Planetary+Science&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=Space+and+Planetary+Science&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=Space+and+Planetary+Science&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Space+and+Planetary+Science&offset=6", "hreflang": "en-US"}], "numberMatched": 6, "numberReturned": 6, "distributedFeatures": [], "timeStamp": "2026-05-25T00:56:13.909507Z"}