{"type": "FeatureCollection", "features": [{"id": "10.1016/j.agsy.2009.06.004", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:22Z", "type": "Journal Article", "created": "2009-07-08", "title": "Crop Rotations In Argentina: Analysis Of Water Balance And Yield Using Crop Models", "description": "Abstract   Cropping schemes have developed in east-central Argentina for rainfed soybean ( Glycine max  Merr . ) production that invariably employ no-tillage management. Often these schemes include growing soybean in a sequence of crops including wheat ( Triticum aestivum  L.) and maize ( Zea mays  L.). The full impact of various rotation schemes on soil water balance through a sequence of seasons has not been explored, although the value of these rotations has been studied experimentally. The objective of this work was to investigate through simulations, potential differences in temporal soil water status among rotations over five years. In this study, mechanistic models of soybean (Soy), maize (Maz), and wheat (Wht) were linked over a five-years period at Marcos Juarez, Argentina to simulate soil water status, crop growth, and yield of four no-till rotations (Soy/Soy, Soy/Wht, Soy/Maz, and Soy/Maz/Wht). Published data on sowing dates and initial soil water contents in the first year from a no-till rotation experiment were used as inputs to the model. After the first year, soil water status output from the model was used to initiate the next crop simulation in the sequence. The results of these simulations indicated a positive impact on soil water balance resulting from crop residue on the soil surface under no-till management. Continuous soybean and the two-year soybean/maize rotation did not efficiently use the available water from rainfall. Residue from maize was simulated to be especially effective in suppressing soil evaporation. Thus, the Soy/Maz simulation results indicated that this rotation resulted in enhanced soil water retention, increased deep water percolation, and increased soybean yields compared with continuous soybean crops. The simulated results matched well with experimental observations. The three-crop rotation of Soy/Maz/Wht did not increase simulated soybean yields, but the additional water retained as a result of decreased soil evaporation resulting from the maize residue allowed the addition of a wheat crop in this two-year rotation. Simulated soybean yields were poorly correlated with both the amount of soil water at sowing and the rainfall during the cropping period. These results highlight the importance of temporal distribution of rainfall on final yield. These models proved a valuable tool for assessing the consequences of various rotation schemes now being employed in Argentina on temporal soil water status, and ultimately crop yield.", "keywords": ["0106 biological sciences", "2. Zero hunger", "No-tillage", "04 agricultural and veterinary sciences", "Crop simulations", "15. Life on land", "Crop rotations", "01 natural sciences", "Maize", "Soil water", "Wheat", "0401 agriculture", " forestry", " and fisheries", "Soybean", "Soil evaporation"], "contacts": [{"organization": "Facultad de Agronom\u00eda y Zootecnia, Universidad Nac. de Tucum\u00e1n, Argentina ( host institution ), Salado-Navarro, Luis R. ( author ), Sinclair, Thomas R. ( author ),", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.agsy.2009.06.004"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agsy.2009.06.004", "name": "item", "description": "10.1016/j.agsy.2009.06.004", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agsy.2009.06.004"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-10-01T00:00:00Z"}}, {"id": "10.1016/j.gca.2019.06.021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:12Z", "type": "Journal Article", "created": "2019-06-22", "title": "Evaporation of moderately volatile elements from silicate melts: experiments and theory", "description": "Abstract   Moderately volatile elements (MVEs) are sensitive tracers of vaporisation in geological and cosmochemical processes owing to their balanced partitioning between vapour and condensed phases. Differences in their volatilities allows the thermodynamic conditions, particularly temperature and oxygen fugacity ( f O 2 ), at which vaporisation occurred to be quantified. However, this exercise is hindered by a lack of experimental data relevant to the evaporation of MVEs from silicate melts. We report a series of experiments in which silicate liquids are evaporated in one-atmosphere (1-atm) gas-mixing furnaces under controlled  f O 2 s, from the Fe-\u201cFeO\u201d buffer (iron-wustite, IW) to air (10 -0.68  bars), bracketing the range of most magmatic rocks. Time- ( t ) and temperature ( T)  series were conducted from 15 to 930 minutes and 1300-1550\u00b0C, at or above the liquidus for a synthetic ferrobasalt, to which 20 elements, each at 1000 ppm, were added. Refractory elements ( e.g. , Ca, Sc, V, Zr, REE) are quantitatively retained in the melt under all conditions. The MVEs show highly redox-dependent volatilities, where the extent of element loss as a function of  f O 2  depends on the stoichiometry of the evaporation reaction(s), each of which has the general form M x+   n  O (x+   n   )/2  = M x O x/2  +  n /4O 2 . Where  n  is positive (as in most cases), the oxidation state of the element in the gas is more reduced than in the liquid, meaning lower oxygen fugacity promotes evaporation. We develop a general framework, by integrating element vaporisation stoichiometries with Hertz-Knudsen-Langmuir (HKL) theory, to quantify evaporative loss as a function of  t ,  T  and  f O 2 . Element volatilities from silicate melts differ from those during solar nebular condensation, and can thus constrain the conditions of volatile loss in post-nebular processes. Evaporation in a single event strongly discriminates between MVEs, producing a step-like abundance pattern in the residuum, similar to that observed in the Moon or Vesta. Contrastingly, the gradual depletion of MVEs according to their volatility in the Earth is inconsistent with their loss in a single evaporation event, and instead likely reflects accretion from many smaller bodies that had each experienced different degrees of volatilisation.", "keywords": ["[SDU] Sciences of the Universe [physics]", "Experiment", "550", "Moderately volatile element", "Volatile depletion", "13. Climate action", "Evaporation", "Silicate melts", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/206614/3/01_Sossi_Evaporation_of_moderately_2019.pdf.jpg"}, {"href": "https://doi.org/10.1016/j.gca.2019.06.021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geochimica%20et%20Cosmochimica%20Acta", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.gca.2019.06.021", "name": "item", "description": "10.1016/j.gca.2019.06.021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.gca.2019.06.021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "10.1016/j.agwat.2021.106827", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:24Z", "type": "Journal Article", "created": "2021-02-27", "title": "Implementing a new texture-based soil evaporation reduction coefficient in the FAO dual crop coefficient method", "description": "Abstract   Crop evapotranspiration (ET) is a fundamental component of the hydrological cycle, especially in arid/semi-arid regions. The FAO-56 offers an operational method for deriving ET from the reduction (dual crop coefficient Kc) of the atmospheric evaporative demand (ET0). The dual coefficient approach (FAO-2Kc) is intended to improve the daily estimation of ET by separating the contribution of bare soil evaporation (E) and crop transpiration components. The FAO-2Kc has been a well-known reference for the operational monitoring of crop water needs. However, its performance for estimating the water use efficiency is limited by uncertainties in the modeled evaporation/transpiration partitioning. This paper aims at improving the soil module of the FAO-2Kc by modifying the E reduction coefficient (Kr) according to soil texture information and state-of-the-art formulations, hence, to amend the mismatch between FAO-2Kc and field-measured data beyond standard conditions. In practice this work evaluates the performance of two evaporation models, using the classical Kr (Kr,FAO) and a new texture-based Kr (Kr,text) over 33 bare soil sites under different evaporative demand and soil conditions. An offline validation is investigated by forcing both models with observed soil moisture (     \u03b8    s     ) data as input. The Kr,text methodology provides more accurate E estimations compared to the Kr,FAO method and systematically reduces biases. Using Kr,text allows reaching the lowest root means square error (RMSE) of 0.16\u2009mm/day compared to the Kr,FAO where the lowest RMSE reached is 0.88\u2009mm/day. As a step further in the assessment of the proposed methodology, ET was estimated in three wheat fields across the entire agricultural season. Both approaches were thus inter-compared in terms of ET estimates forced by SM estimated as a residual of the water balance model (online validation). Compared to ET measurements, the new formulation provided more accurate results. The RMSE was 0.66\u2009mm/day (0.71\u2009mm/day) and the R2 was 0.83 (0.78) for the texture-based (classical) Kr.", "keywords": ["0106 biological sciences", "2. Zero hunger", "570", "Evapotranspiration", "Soil texture", "FAO-2Kc", "0207 environmental engineering", "Soil moisture", "02 engineering and technology", "15. Life on land", "Soil evaporation", "01 natural sciences", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2021.106827"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2021.106827", "name": "item", "description": "10.1016/j.agwat.2021.106827", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2021.106827"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-01T00:00:00Z"}}, {"id": "10.1002/2015wr018233", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:13:50Z", "type": "Journal Article", "created": "2016-04-20", "title": "Modeling soil evaporation efficiency in a range of soil and atmospheric conditions using a meta\u2010analysis approach", "description": "Abstract<p>A meta\uffe2\uff80\uff90analysis data\uffe2\uff80\uff90driven approach is developed to represent the soil evaporative efficiency (SEE) defined as the ratio of actual to potential soil evaporation. The new model is tested across a bare soil database composed of more than 30 sites around the world, a clay fraction range of 0.02\uffe2\uff80\uff930.56, a sand fraction range of 0.05\uffe2\uff80\uff930.92, and about 30,000 acquisition times. SEE is modeled using a soil resistance (rss) formulation based on surface soil moisture (\uffce\uffb8) and two resistance parameters   and \uffce\uffb8efolding. The data\uffe2\uff80\uff90driven approach aims to express both parameters as a function of observable data including meteorological forcing, cut\uffe2\uff80\uff90off soil moisture value   at which SEE=0.5, and first derivative of SEE at  , named  . An analytical relationship between   and   is first built by running a soil energy balance model for two extreme conditions with rss\uffe2\uff80\uff89=\uffe2\uff80\uff890 and   using meteorological forcing solely, and by approaching the middle point from the two (wet and dry) reference points. Two different methods are then investigated to estimate the pair   either from the time series of SEE and \uffce\uffb8 observations for a given site, or using the soil texture information for all sites. The first method is based on an algorithm specifically designed to accomodate for strongly nonlinear   relationships and potentially large random deviations of observed SEE from the mean observed  . The second method parameterizes   as a multi\uffe2\uff80\uff90linear regression of clay and sand percentages, and sets   to a constant mean value for all sites. The new model significantly outperformed the evaporation modules of ISBA (Interaction Sol\uffe2\uff80\uff90Biosph\uffc3\uffa8re\uffe2\uff80\uff90Atmosph\uffc3\uffa8re), H\uffe2\uff80\uff90TESSEL (Hydrology\uffe2\uff80\uff90Tiled ECMWF Scheme for Surface Exchange over Land), and CLM (Community Land Model). It has potential for integration in various land\uffe2\uff80\uff90surface schemes, and real calibration capabilities using combined thermal and microwave remote sensing data.</p", "keywords": ["550", "0207 environmental engineering", "modeling", "02 engineering and technology", "15. Life on land", "551", "01 natural sciences", "evaporation", "soil", "moisture", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "texture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2015WR018233"}, {"href": "https://doi.org/10.1002/2015wr018233"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Resources%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2015wr018233", "name": "item", "description": "10.1002/2015wr018233", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2015wr018233"}, {"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"}}, {"id": "10.1002/2017JD027346", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:13:50Z", "type": "Journal Article", "created": "2017-12-28", "title": "Soil Moisture-Temperature Coupling in a Set of Land Surface Models", "description": "Abstract<p>The land surface controls the partitioning of water and energy fluxes and therefore plays a crucial role in the climate system. The coupling between soil moisture and air temperature, in particular, has been shown to affect the severity and occurrence of temperature extremes and heat waves. Here we study soil moisture\uffe2\uff80\uff90temperature coupling in five land surface models, focusing on the terrestrial segment of the coupling in the warm season. All models are run off\uffe2\uff80\uff90line over a common period with identical atmospheric forcing data, in order to allow differences in the results to be attributed to the models' partitioning of energy and water fluxes. Coupling is calculated according to two semiempirical metrics, and results are compared to observational flux tower data. Results show that the locations of the global hot spots of soil moisture\uffe2\uff80\uff90temperature coupling are similar across all models and for both metrics. In agreement with previous studies, these areas are located in transitional climate regimes. The magnitude and local patterns of model coupling, however, can vary considerably. Model coupling fields are compared to tower data, bearing in mind the limitations in the geographical distribution of flux towers and the differences in representative area of models and in situ data. Nevertheless, model coupling correlates in space with the tower\uffe2\uff80\uff90based results (r = 0.5\uffe2\uff80\uff930.7), with the multimodel mean performing similarly to the best\uffe2\uff80\uff90performing model. Intermodel differences are also found in the evaporative fractions and may relate to errors in model parameterizations and ancillary data of soil and vegetation characteristics.</p>", "keywords": ["ENVIRONMENT SIMULATOR JULES", "FLUXES", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "CO2 EXCHANGE", "models", "WATER", "SCALE", "Research Articles", "0105 earth and related environmental sciences", "land surface", "CARBON-DIOXIDE EXCHANGE", "eartH2Observe", "temperature", "15. Life on land", "DECIDUOUS FOREST", "CLIMATE", "EVAPORATION", "VARIABILITY", "13. Climate action", "Earth and Environmental Sciences", "BALANCE", "land surface models", "SENSIBLE HEAT", "land-atmosphere interactions", "soil moisture"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2017JD027346"}, {"href": "https://doi.org/10.1002/2017JD027346"}, {"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": "10.1002/2017JD027346", "name": "item", "description": "10.1002/2017JD027346", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2017JD027346"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-02-01T00:00:00Z"}}, {"id": "10.1002/wcc.632", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:02Z", "type": "Journal Article", "created": "2019-12-20", "title": "Unraveling the influence of atmospheric evaporative demand on drought and its response to climate change", "description": "Abstract<p>This review examines the role of the atmospheric evaporative demand (AED) in drought. AED is a complex concept and here we discuss possible AED definitions, the subsequent metrics to measure and estimate AED, and the different physical drivers that control it. The complex influence of AED on meteorological, environmental/agricultural and hydrological droughts is discussed, stressing the important spatial differences related to the climatological conditions. Likewise, AED influence on drought has implications regarding how different drought metrics consider AED in their attempts to quantify drought severity. Throughout the article, we assess literature findings with respect to: (a) recent drought trends and future projections; (b) the several uncertainties related to data availability; (c) the sensitivity of current drought metrics to AED; and (d) possible roles that both the radiative and physiological effects of increasing atmospheric CO2 concentrations may play as we progress into the future. All these issues preclude identifying a simple effect of the AED on drought severity. Rather it calls for different evaluations of drought impacts and trends under future climate scenarios, considering the complex feedbacks governing the climate system.</p><p>This article is categorized under: <p>Paleoclimates and Current Trends &gt; Earth System Behavior</p>  </p>", "keywords": ["2. Zero hunger", "Atmosphere", "13. Climate action", "11. Sustainability", "evapotranspiration", "drought", "15. Life on land", "Atmospheric", "01 natural sciences", "evaporative demand", "6. Clean water", "evaporation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://wires.onlinelibrary.wiley.com/doi/pdf/10.1002/wcc.632"}, {"href": "https://doi.org/10.1002/wcc.632"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/WIREs%20Climate%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/wcc.632", "name": "item", "description": "10.1002/wcc.632", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/wcc.632"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-19T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2018.04.010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:21Z", "type": "Journal Article", "created": "2018-04-19", "title": "A phenomenological model of soil evaporative efficiency using surface soil moisture and temperature data", "description": "Abstract   Modeling soil evaporation has been a notorious challenge due to the complexity of the phenomenon and the lack of data to constrain it. In this context, a parsimonious model is developed to estimate soil evaporative efficiency (SEE) defined as the ratio of actual to potential soil evaporation. It uses a soil resistance driven by surface (0\u20135\u202fcm) soil moisture, meteorological forcing and time (hour) of day, and has the capability to be calibrated using the radiometric surface temperature derived from remotely sensed thermal data. The new approach is tested over a rainfed semi-arid site, which had been under bare soil conditions during a 9-month period in 2016. Three calibration strategies are adopted based on SEE time series derived from (1) eddy-covariance measurements, (2) thermal measurements, and (3) eddy-covariance measurements used only over separate drying periods between significant rainfall events. The correlation coefficients (and slopes of the linear regression) between simulated and observed (eddy-covariance-derived) SEE are 0.85, 0.86 and 0.87 (and 0.91, 0.87 and 0.91) for calibration strategies 1, 2 and 3, respectively. Moreover, the correlation coefficient (and slope of the linear regression) between simulated and observed SEE is improved from 0.80 to 0.85 (from 0.86 to 0.91) when including hour of day in the soil resistance. The reason is that, under non-energy-limited conditions, the receding evaporation front during daytime makes SEE decrease at the hourly time scale. The soil resistance formulation can be integrated into state-of-the-art dual-source surface models and has calibration capabilities across a range of spatial scales from spaceborne microwave and thermal data.", "keywords": ["550", "0207 environmental engineering", "Soil resistance", "02 engineering and technology", "Remote sensing", "15. Life on land", "calibration", "surface temperature", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Surface temperature", "remote sensing", "Calibration", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "soil resistance", "Soil moisture", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "soil moisture", "environment", "Soil evaporation"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2018.04.010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2018.04.010", "name": "item", "description": "10.1016/j.agrformet.2018.04.010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2018.04.010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-01T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2018.05.010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:21Z", "type": "Journal Article", "created": "2018-06-14", "title": "Partitioning of evapotranspiration in remote sensing-based models", "description": "Abstract   Satellite based retrievals of evapotranspiration (ET) are widely used for assessments of global and regional scale surface fluxes. However, the partitioning of the estimated ET between soil evaporation, transpiration, and canopy interception regularly shows strong divergence between models, and to date, remains largely unvalidated. To examine this problem, this paper considers three algorithms: the Penman-Monteith model from the Moderate Resolution Imaging Spectroradiometer (PM-MODIS), the Priestley-Taylor Jet Propulsion Laboratory model (PT-JPL), and the Global Land Evaporation Amsterdam Model (GLEAM). Surface flux estimates from these three models, obtained via the WACMOS-ET initiative, are compared against a comprehensive collection of field studies, spanning a wide range of climates and land cover types. Overall, we find errors between estimates of field and remote sensing-based soil evaporation (RMSD\u202f=\u202f90\u2013114%, r2\u202f=\u202f0.14\u20130.25, N\u202f=\u202f35), interception (RMSD\u202f=\u202f62\u2013181%, r2\u202f=\u202f0.39\u20130.85, N\u202f=\u202f13), and transpiration (RMSD\u202f=\u202f54\u2013114%, r2 \u202f=\u202f0.33\u20130.55, N\u202f=\u202f35) are relatively large compared to the combined estimates of total ET (RMSD\u202f=\u202f35\u201349%, r2 \u202f=\u202f0.61\u20130.75, N\u202f=\u202f35). Errors in modeled ET components are compared between land cover types, field methods, and precipitation regimes. Modeled estimates of soil evaporation were found to have significant deviations from observed values across all three models, while the characterization of vegetation effects also influences errors in all three components. Improvements in these estimates, and other satellite based partitioning estimates are likely to lead to better understanding of the movement of water through the soil-plant-water continuum.", "keywords": ["Evapotranspiration", "0208 environmental biotechnology", "Modeling", "0207 environmental engineering", "02 engineering and technology", "Remote sensing", "15. Life on land", "6. Clean water", "Transpiration", "13. Climate action", "[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]", "Soil evaporation", "Partitioning"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2018.05.010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2018.05.010", "name": "item", "description": "10.1016/j.agrformet.2018.05.010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2018.05.010"}, {"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": "10.1016/j.agrformet.2018.11.031", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:21Z", "type": "Journal Article", "created": "2018-11-29", "title": "Partitioning evapotranspiration of a drip-irrigated wheat crop: Inter-comparing eddy covariance-, sap flow-, lysimeter- and FAO-based methods", "description": "Abstract   A precise estimate of the evapotranspiration (ET) partitioning is fundamental for determining the crop water needs and optimizing irrigation management. The plant transpiration (T) is generally considered to be the most desirable component, while reducing the soil evaporation (E) could be one of the most important water-saving actions in semi-arid agricultural regions. Given the lack of reference method to estimate the E/T partitioning of wheat crop, this study inter-compares four different methods based on eddy covariance, sap flow and lysimetry measurements and FAO modeling. The objectives are: i) to quantify the systematic and random uncertainty in E and T observations, ii) to evaluate the partitioning ratio (T/ET) at the daily/field scale and iii) to assess the performance of the FAO model over two drip irrigated wheat fields. Results indicate that despite the small surface sensed by mini-lysimeters, the partitioning ratio is evaluated more precisely (19% relative error) with lysimetry than with the other systems (any combination of eddy covariance, lysimetry and sap flow measurements). Moreover, stem-scale T measurements from sap flow sensors are subject to representativeness issues at the field scale, and to systematic errors during water-stress and senescence periods. The lysimeter-derived partitioning ratio increases from about 0.50 to 0.85 during the growth stage and rapidly drops towards 0 during senescence. Its dynamics is found to be significantly correlated (R>0.7) with the 5-cm soil moisture. By comparing FAO simulations with observations, it is found that the FAO method overestimates T and underestimates E, while keeping satisfying ET estimates for drip irrigated wheat. This study suggests that different independent measurement techniques should be implemented to both quantify and reduce uncertainties in the T/ET ratio, and that accurate observations are still needed to improve the modeling of E/T components.", "keywords": ["FAO-56", "0106 biological sciences", "2. Zero hunger", "550", "Lysimeter", "Eddy correlation", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Sap flow", "Wheat", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Evaporation-transpiration"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2018.11.031"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2018.11.031", "name": "item", "description": "10.1016/j.agrformet.2018.11.031", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2018.11.031"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-01T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2020.108064", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:21Z", "type": "Journal Article", "created": "2020-06-16", "title": "Effect of using pruning waste as an organic mulching on a drip-irrigated vineyard evapotranspiration under a semi-arid climate", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). In a drip-irrigated vineyard soil evaporation (E) can reach up to 30-40% of the seasonal grapevine crop evapotranspiration (ETc). Vineyard soil management can be used as a technique to reduce soil E for improving crop water use efficiency. The aim of this experiment was to analyze the effect of using pruning waste as an organic mulching on vineyard ETc. During three experimental seasons, several cycles of grapevines water use determinations were conducted using a large weighing lysimeter located in Albacete (southeast Spain) under drip irrigation. Measurements were carried out under different soil management practices: i) keeping the bare soil within the lysimeter during the first 2-3 days (bare soil), ii) covering the lysimeter soil surface with pruning waste as an organic mulching (about 5 cm thick) for the next 2-3 days (organic mulch), and iii) covering the lysimeter with a waterproof canvas (plastic mulch), similar in colour to the soil, for the last 2-3 days of each measurement cycle. In 2017, the measurements period was initiated when midday stem water potential (\u03a8stem) values reached -1.3 MPa, in order to study the effect of the different soil management on grapevine ETc when vines in the lysimeter were suffering from severe water stress. During the 3-year study, plant determinations (i.e., canopy cover and the phenological stage) showed that vines were at the same stage of development during each period of measurements. Under equal evaporative demand and fractional canopy cover, results showed a reduction in the vineyard ETc between 16-18% with the organic mulching, and up to 24-30% with the plastic mulching. Even though plastic mulches significantly reduced water evaporation from soil surface, this reduction could have resulted in an increase in crop transpiration (T). However, results in this experiment show that both organic and inorganic mulching did not increase vine T compared to no mulching conditions, based on vine T values estimated during the three experimental periods of 2015. Therefore, using pruning waste as an organic mulch could be an environmental friendly alternative to reduce soil evaporation and increase crop water productivity in large areas where vineyards are drip-irrigated. This research has been funded by the Agencia Estatal de Investigaci\u00f3n with FEDER co-financing Project AGL2017-83738-C3-3-R and by the European Commission with project \u201cSHui\u201d (grant number: 773903) and project \u201cSUPROMED\u201d (grant number: 1813). R. L\u00f3pez-Urrea acknowledges the support of the Sport, Culture and Education Council (JCCM, Spain), together with FEDER funds, throughout the \u201cANIATEL\u201d project (SBPLY/17/180501/000357). Peer reviewed", "keywords": ["Plastic mulch", "0106 biological sciences", "2. Zero hunger", "Vine transpiration", "13. Climate action", "Organic mulch", "Weighing lysimeter", "15. Life on land", "Soil evaporation", "01 natural sciences", "6. Clean water", "Water use"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2020.108064"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2020.108064", "name": "item", "description": "10.1016/j.agrformet.2020.108064", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2020.108064"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-01T00:00:00Z"}}, {"id": "10.1016/j.gca.2020.08.011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:12Z", "type": "Journal Article", "created": "2020-08-18", "title": "An experimentally-determined general formalism for evaporation and isotope fractionation of Cu and Zn from silicate melts between 1300 and 1500\u202f\u00b0C and 1\u202fbar", "description": "Open AccessISSN:1872-9533", "keywords": ["Vapour", "[PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]", "Isotope", "13. Climate action", "Evaporation; Vapour; Cu; Zn; Silicate melt; Isotope", "Evaporation", "Zn", "Silicate melt", "01 natural sciences", "7. Clean energy", "Cu", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.gca.2020.08.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geochimica%20et%20Cosmochimica%20Acta", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.gca.2020.08.011", "name": "item", "description": "10.1016/j.gca.2020.08.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.gca.2020.08.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-01T00:00:00Z"}}, {"id": "10.1016/j.chemgeo.2019.119279", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:39Z", "type": "Journal Article", "created": "2019-08-15", "title": "Volatile loss under a diffusion-limited regime in tektites: Evidence from tin stable isotopes", "description": "Abstract   Tektites are glasses derived from near-surface continental crustal rocks that were molten and ejected from the Earth's surface during hypervelocity meteorite impacts. They are among the driest terrestrial samples, although the exact mechanism of water loss and the behaviour of other volatile species during these processes are debated. Based on the difference in magnitude of the Cu and Zn isotopic fractionations in tektites, and the difference of diffusivity between these elements, it was suggested that volatile loss was diffusion-limited. Tin is potentially well suited to testing this model, as it has a lower diffusivity in silicate melts than both Cu and Zn, but a similar volatility to Zn. Here, we analysed the Sn stable isotopic composition in a suite of seven tektites, representing three of the four known tektite strewn fields, and for which Zn and Cu isotopes were previously reported. Tin is enriched in the heavier isotopes (\u22652.5\u2030 on the 122Sn/118Sn ratio) in tektites, correlated with the degree of Sn elemental depletion in their respective samples as well as with Cu and Zn isotope ratios, implying a common control. While the isotope fractionation of Sn, Cu and Zn is a result of volatility, the magnitude of isotope fractionation is strongly moderated by their relative rates of diffusion in the molten tektite droplets. An Australasian Muong Nong-type tektite analysed has the least Sn depletion and Sn isotope fractionation, consistent with these samples being more proximal to the source and experiencing a shorter time at high temperatures.", "keywords": ["Volatiles", "ORIGIN", "FRACTIONATION", "01 natural sciences", "Tektites", "[SDU] Sciences of the Universe [physics]", "EVAPORATION", "ZINC", "105105 Geochemistry", "SILICATE MELTS", "Tin", "DISSOLUTION", "13. Climate action", "Impacts", "105105 Geochemie", "GEOCHEMISTRY", "CU", "GEOLOGICAL-MATERIALS", "Stable isotopes", "IMPACT GLASSES", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.chemgeo.2019.119279"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemical%20Geology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.chemgeo.2019.119279", "name": "item", "description": "10.1016/j.chemgeo.2019.119279", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.chemgeo.2019.119279"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-01T00:00:00Z"}}, {"id": "10.1016/j.rse.2018.04.013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:37Z", "type": "Journal Article", "created": "2018-04-24", "title": "Retrieving surface soil moisture at high spatio-temporal resolution from a synergy between Sentinel-1 radar and Landsat thermal data: A study case over bare soil", "description": "Radar data have been used to retrieve and monitor the surface soil moisture (SM) changes in various conditions. However, the calibration of radar models whether empirically or physically-based, is still subject to large uncertainties especially at high-spatial resolution. To help calibrate radar-based retrieval approaches to supervising SM at high resolution, this paper presents an innovative synergistic method combining Sentinel-1 (S1) microwave and Landsat-7/8 (L7/8) thermal data. First, the S1 backscatter coefficient was normalized by its maximum and minimum values obtained during 2015\u20132016 agriculture season. Second, the normalized S1 backscatter coefficient was calibrated from reference points provided by a thermal-derived SM proxy named soil evaporative efficiency (SEE, defined as the ratio of actual to potential soil evaporation). SEE was estimated as the radiometric soil temperature normalized by its minimum and maximum values reached in a water-saturated and dry soil, respectively. We estimated both soil temperature endmembers by using a soil energy balance model forced by available meteorological forcing. The proposed approach was evaluated against in situ SM measurements collected over three bare soil fields in a semi-arid region in Morocco and we compared it against a classical approach based on radar data only. The two polarizations VV (vertical transmit and receive) and VH (vertical transmit and horizontal receive) of the S1 data available over the area are tested to analyse the sensitivity of radar signal to SM at high incidence angles (39\u00b0\u201343\u00b0). We found that the VV polarization was better correlated to SM than the VH polarization with a determination coefficient of 0.47 and 0.28, respectively. By combining S1 (VV) and L7/8 data, we reduced the root mean square difference between satellite and in situ SM to 0.03\u202fm3\u202fm\u22123, which is far smaller than 0.16\u202fm3\u202fm\u22123 when using S1 (VV) only.", "keywords": ["550", "[SDE.IE]Environmental Sciences/Environmental Engineering", "Sentinel-1 (A/B)", "near surface soil moisture", "Bare soil", "0211 other engineering and technologies", "Sentinel-1 (AB)", "02 engineering and technology", "15. Life on land", "Landsat-78", "01 natural sciences", "Energy balance modelling", "Near surface soil moisture", "Landsat-7/8", "bare soil", "13. Climate action", "energy balance modelling", "soil evaporation", "[SDE.IE] Environmental Sciences/Environmental Engineering", "Soil evaporation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://hal.archives-ouvertes.fr/hal-01912888/file/Amazirh%20et%20al_2018%20%281%29.pdf"}, {"href": "https://doi.org/10.1016/j.rse.2018.04.013"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rse.2018.04.013", "name": "item", "description": "10.1016/j.rse.2018.04.013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rse.2018.04.013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-01T00:00:00Z"}}, {"id": "10.1016/j.fcr.2015.03.017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:00Z", "type": "Journal Article", "created": "2015-04-11", "title": "Maize Water Use Efficiency And Evapotranspiration Response To N Supply Under Contrasting Soil Water Availability", "description": "Abstract   Water use efficiency (WUEg), the quotient between grain yield and crop evapotranspiration (ET), might be increased in maize crops (Zea mays L.) due to N supply. Most research has focused on understanding grain yield response to N supply; so there is little and contradictory information on the influence of N supply on WUEg in water limited environments and on ET response to N supply under contrasting water availability. The objectives of our research were to elucidate whether N supply affects WUEg in water limited environments; and to clarify the expected response to N supply of maize ET and its components under contrasting soil water availability. Maize crops were grown at Balcarce, Argentina during three seasons. Treatments included two water regimes (i.e. rain-fed and irrigated) and two rates of N (i.e. 120\u00a0kg\u00a0N\u00a0ha\u22121 or non-fertilized). Measurements included (i) soil water content and intercepted photosynthetically active radiation (iPAR) during the whole crop season, and (ii) grain yield and shoot dry matter at physiological maturity. Crop ET was calculated by means of a water balance and soil evaporation was estimated by means of micro-lysimeters. Our results show that N supply did not influence WUEg in water limited environments; but N supply significantly increased ET (2\u20138%) under all water availability conditions. Maize seasonal ET increments were closely related to the improvement of seasonal iPAR in non-water limited environments, but not in water limited environments. In non-water limited environments, ET response to N supply was mediated by the concomitant effects of iPAR increments on increasing transpiration while reducing evaporation. In water limited environments, ET slightly increased in response to iPAR increments due to N supply. The low ET increment in water limited environments with frequent low superficial soil water content (i.e. \u22642\u00a0mm\u00a0cm\u22121) was probably not influenced by reductions in evaporation (E); but associated with stomata closure in response to water deficiencies. This is consistent with the fact that N supply did not promote improvements in radiation use efficiency for biomass production (RUEb) in these environments.", "keywords": ["EVAPORATION", "2. Zero hunger", "https://purl.org/becyt/ford/4.5", "INTERCEPTED PHOTOSYNTHETICALLY ACTIVE RADIATION", "ZEA MAYS L", "0401 agriculture", " forestry", " and fisheries", "https://purl.org/becyt/ford/4", "04 agricultural and veterinary sciences", "15. Life on land", "7. Clean energy", "6. Clean water"], "contacts": [{"organization": "M. Cambareri, Diego Cerrudo, Laura Echarte, Laura Echarte, P. Barbieri, P. Barbieri, M.D. Hern\u00e1ndez, A. Della Maggiora,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.fcr.2015.03.017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Field%20Crops%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.fcr.2015.03.017", "name": "item", "description": "10.1016/j.fcr.2015.03.017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.fcr.2015.03.017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-07-01T00:00:00Z"}}, {"id": "10.1016/j.gca.2019.02.036", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:12Z", "type": "Journal Article", "created": "2019-02-27", "title": "Volatile distributions in and on the Moon revealed by Cu and Fe isotopes in the \u2018Rusty Rock\u2019 66095", "description": "Abstract   The Apollo 16 \u2018Rusty Rock\u2019 impact melt breccia 66095 is a volatile-rich sample, with the volatiles inherited through vapor condensation from an internal lunar source formed during thermo-magmatic evolution of the Moon. We report Cu and Fe isotope data for 66095 and find that bulk-rocks, residues and acid leaches span a relatively limited range of compositions (3.0\u202f\u00b1\u202f1.3\u202fwt.% FeO [range\u202f=\u202f2.0\u20134.8\u202fwt.%], 5.4\u202f\u00b1\u202f3.1\u202fppm Cu [range\u202f=\u202f3\u201312\u202fppm], average \u03b456Fe of 0.15\u202f\u00b1\u202f0.05\u2030 [weighted mean\u202f=\u202f0.156\u2030] and \u03b465Cu of 0.72\u202f\u00b1\u202f0.14\u2030 [weighted mean\u202f=\u202f0.78\u2030]). In contrast to the extreme enrichment of the light isotopes of Zn and heavy isotopes of Cl in 66095, \u03b465Cu and \u03b456Fe in the sample lie within the previously reported range for lunar mare basalts (0.92\u202f\u00b1\u202f0.16\u2030 and 0.12\u202f\u00b1\u202f0.02\u2030, respectively). The lack of extreme isotopic fractionation for Cu and Fe isotopes reflects compositions inherent to 66095, with condensation of a cooling gas from impact-generated fumarolic activity at temperatures too low to lead to the condensation of Cu and Fe in the sample, but higher than required to condense Zn. Together with thermodynamic models, these constraints suggest that the gas condensed within 66095 between 700 and 900\u202f\u00b0C (assuming a pressure of 10\u22126 and an fO2 of IW-2). That the Cu and Fe isotopic compositions of sample 66095 are within the range of mare basalts removes the need for an exotic, volatile-enriched source. The enrichment in Tl, Br, Cd, Sn, Zn, Pb, Rb, Cs, Ga, B, Cl, Li relative to Bi, Se, Te, Ge, Cu, Ag, Sb, Mn, P, Cr and Fe in the \u2018Rusty Rock\u2019 is consistent with volcanic outgassing models and indicates that 66095 likely formed distal from the original source of the gas. The volatile-rich character of 66095 is consistent with impact-generated fumarolic activity in the region of the Cayley Plains, demonstrating that volatile-rich rocks can occur on the lunar surface from outgassing of a volatile-poor lunar interior. The \u2018Rusty Rock\u2019 indicates that the lunar interior is significantly depleted in volatile elements and compounds and that volatile-rich surface rocks likely formed through vapor condensation. Remote sensing studies have detected volatiles on the lunar surface, attributing them dominantly to solar wind. Based on the \u2018Rusty Rock\u2019, some of these surface volatiles may also originate from the Moon\u2019s interior.", "keywords": ["[SDU] Sciences of the Universe [physics]", "0301 basic medicine", "0303 health sciences", "03 medical and health sciences", "Condensates", "Copper isotopes", "13. Climate action", "Evaporation", "Iron isotopes", "Volatile elements", "Moon", "Rusty Rock"]}, "links": [{"href": "https://doi.org/10.1016/j.gca.2019.02.036"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geochimica%20et%20Cosmochimica%20Acta", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.gca.2019.02.036", "name": "item", "description": "10.1016/j.gca.2019.02.036", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.gca.2019.02.036"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-01T00:00:00Z"}}, {"id": "10.1038/s41612-018-0053-5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:43Z", "type": "Journal Article", "created": "2018-11-08", "title": "Terrestrial evaporation response to modes of climate variability", "description": "Abstract<p>Large-scale modes of climate variability (or teleconnection patterns), such as the El Ni\uffc3\uffb1o Southern Oscillation and the North Atlantic Oscillation, affect local weather worldwide. However, the response of terrestrial water and energy fluxes to these modes of variability is still poorly understood. Here, we analyse the response of evaporation to 16 teleconnection patterns, using a simple supervised learning framework and global observation-based datasets of evaporation and its key climatic drivers. Our results show that the month-to-month variability in terrestrial evaporation is strongly affected by (coupled) oscillations in sea-surface temperature and air pressure: in specific hotspot regions, up to 40% of the evaporation dynamics can be explained by climate indices describing the fundamental modes of climate variability. While the El Ni\uffc3\uffb1o Southern Oscillation affects the dynamics in land evaporation worldwide, other phenomena such as the East Pacific\uffe2\uff80\uff93North Pacific teleconnection pattern are more dominant at regional scales. Most modes of climate variability affect terrestrial evaporation by inducing changes in the atmospheric demand for water. However, anomalies in precipitation associated to particular teleconnections are crucial for the evaporation in water-limited regimes, as well as in forested regions where interception loss forms a substantial fraction of total evaporation. Our results highlight the need to consider the concurrent impact of these teleconnections to accurately predict the fate of the terrestrial branch of the hydrological cycle, and provide observational evidence to help improve the representation of surface fluxes in Earth system models.</p>", "keywords": ["EVAPOTRANSPIRATION", "0207 environmental engineering", "TELECONNECTION", "02 engineering and technology", "15. Life on land", "01 natural sciences", "6. Clean water", "NORTH-ATLANTIC", "PACIFIC OSCILLATION", "13. Climate action", "Earth and Environmental Sciences", "LAND EVAPORATION", "PRECIPITATION", "PATTERNS", "HYDROCLIMATOLOGY", "TEMPERATURE", "SATELLITE", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.nature.com/articles/s41612-018-0053-5.pdf"}, {"href": "https://doi.org/10.1038/s41612-018-0053-5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/npj%20Climate%20and%20Atmospheric%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41612-018-0053-5", "name": "item", "description": "10.1038/s41612-018-0053-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41612-018-0053-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-11-15T00:00:00Z"}}, {"id": "10.1016/j.uclim.2016.05.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:12Z", "type": "Journal Article", "created": "2016-09-22", "title": "Surface Urban Energy and Water Balance Scheme (SUEWS): Development and evaluation at two UK sites", "description": "AbstractThe Surface Urban Energy and Water Balance Scheme (SUEWS) is evaluated at two locations in the UK: a dense urban site in the centre of London and a residential suburban site in Swindon. Eddy covariance observations of the turbulent fluxes are used to assess model performance over a two-year period (2011\u22122013). The distinct characteristics of the sites mean their surface energy exchanges differ considerably. The model suggests the largest differences can be attributed to surface cover (notably the proportion of vegetated versus impervious area) and the additional energy supplied by human activities. SUEWS performs better in summer than winter, and better at the suburban site than the dense urban site. One reason for this is the bias towards suburban summer field campaigns in observational data used to parameterise this (and other) model(s). The suitability of model parameters (such as albedo, energy use and water use) for the UK sites is considered and, where appropriate, alternative values are suggested. An alternative parameterisation for the surface conductance is implemented, which permits greater soil moisture deficits before evaporation is restricted at non-irrigated sites. Accounting for seasonal variation in the estimation of storage heat flux is necessary to obtain realistic wintertime fluxes.", "keywords": ["2. Zero hunger", "SUEWS", "UK cities", "Urban water balance", "13. Climate action", "Evaporation", "11. Sustainability", "Evaporation", " SUEWS", " UK cities", " Urban energy balance", " Urban water balance", "15. Life on land", "Urban energy balance", "Geosciences"]}, "links": [{"href": "https://centaur.reading.ac.uk/65599/25/1-s2.0-S2212095516300256-main%20%281%29.pdf"}, {"href": "https://doi.org/10.1016/j.uclim.2016.05.001"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Urban%20Climate", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.uclim.2016.05.001", "name": "item", "description": "10.1016/j.uclim.2016.05.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.uclim.2016.05.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-12-01T00:00:00Z"}}, {"id": "10.1029/2020wr028055", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:32Z", "type": "Journal Article", "created": "2020-06-09", "title": "On the Use of the Term \u201cEvapotranspiration\u201d", "description": "Abstract<p>Evaporation is the phenomenon by which a substance is converted from its liquid into its vapor phase, independently of where it lies in nature. However, language is alive, and just like regular speech, scientific terminology changes. Frequently, those changes are grounded on a solid rationale, but sometimes these semantic transitions have a fragile foundation. That is the case with \uffe2\uff80\uff9cevapotranspiration.\uffe2\uff80\uff9d A growing generation of scientists have been educated on using this terminology and are unaware of the historical controversy and physical inconsistency that surrounds it. Here, we present what may appear to some as an esoteric linguistic discussion, yet it was originally triggered by the increasing time some of us have devoted to justifying our word choice to reviewers, editors, and peers. By clarifying our arguments for using the term \uffe2\uff80\uff9cevaporation,\uffe2\uff80\uff9d we also seek to prevent having to revive this discussion every time a new article is submitted, so that we can move directly on to more scientifically relevant matters.</p>", "keywords": ["0301 basic medicine", "0303 health sciences", "SDG 16 - Peace", "evapotranspiration", "0207 environmental engineering", "02 engineering and technology", "interception", "01 natural sciences", "Justice and Strong Institutions", "evaporation", "transpiration", "03 medical and health sciences", "13. Climate action", "Commentaries", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1029/2020wr028055"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Resources%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2020wr028055", "name": "item", "description": "10.1029/2020wr028055", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2020wr028055"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-09T00:00:00Z"}}, {"id": "10.1029/2019wr025310", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:31Z", "type": "Journal Article", "created": "2019-11-11", "title": "A Precipitation Recycling Network to Assess Freshwater Vulnerability: Challenging the Watershed Convention", "description": "Abstract<p>Water resources and water scarcity are usually regarded as local aspects for which a watershed\uffe2\uff80\uff90based management appears adequate. However, precipitation, as a main source of freshwater, may depend on moisture supplied through land evaporation from outside the watershed. This notion of evaporation as a local \uffe2\uff80\uff9cgreen water\uffe2\uff80\uff9d supply to precipitation is typically not considered in hydrological water assessments. Here we propose the concept of a watershed precipitation recycling network, which establishes atmospheric pathways and links land surface evaporation as a moisture supply to precipitation, hence contributing to local but also remote freshwater resources. Our results show that up to 74% of summer precipitation over European watersheds depends on moisture supplied from other watersheds, which contradicts the conventional consideration of autarkic watersheds. The proposed network approach illustrates atmospheric pathways and enables the objective assessment of freshwater vulnerability and water scarcity risks under global change. The illustrated watershed interdependence emphasizes the need for global water governance to secure freshwater availability.</p>", "keywords": ["CLIMATE-CHANGE", "0207 environmental engineering", "02 engineering and technology", "MOISTURE", "15. Life on land", "01 natural sciences", "6. Clean water", "TIME", "12. Responsible consumption", "EVAPORATION", "VARIABILITY", "13. Climate action", "Earth and Environmental Sciences", "USE IMPACTS", "IRRIGATION", "11. Sustainability", "SCARCITY", "MULTIMODEL", "SATELLITE", "Research Articles", "Water Science and Technology", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR025310"}, {"href": "https://doi.org/10.1029/2019wr025310"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Resources%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2019wr025310", "name": "item", "description": "10.1029/2019wr025310", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2019wr025310"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-01T00:00:00Z"}}, {"id": "10.1038/s41598-022-09515-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:43Z", "type": "Journal Article", "created": "2022-04-07", "title": "The influence of soil dry-out on the record-breaking hot 2013/2014 summer in Southeast Brazil", "description": "Abstract<p>The 2013/2014 summer in Southeast Brazil was marked by historical unprecedented compound dry and hot (CDH) conditions with profound socio-economic impacts. The synoptic drivers for this event have already been analyzed, and its occurrence within the context of the increasing trend of CDH conditions in the area evaluated. However, so far, the causes for these record temperatures remain poorly understood. Here, a detailed characterization of the 2013/2014 austral summer season over Southeast Brazil is proposed, emphasizing the role played by land\uffe2\uff80\uff93atmosphere interactions in temperature escalation. We demonstrate that a strong soil moisture\uffe2\uff80\uff93temperature coupling regime promoted record-breaking temperatures levels exceeding almost 5\uffc2\uffa0\uffc2\uffb0C over the previous highest record, and played a key role in triggering an outstanding \uffe2\uff80\uff98mega-heatwave\uffe2\uff80\uff99 that lasted for a period of around 20\uffc2\uffa0days. This pronounced soil desiccation occurred within a current climate change trend defined by drier and hotter conditions in the region. The soil dry-out, coupled with strong radiative processes and low entrainment of cooler air masses through mesoscale sea-breeze circulation processes, led to a water-limited regime and to an enhancement of sensible heat fluxes that, ultimately, resulted in a sharp increase of surface temperatures.</p>", "keywords": ["HEAT WAVES", "Hot Temperature", "DROUGHTS", "IMPACT", "Science", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "Article", "Soil", "TEMPERATURE", "0105 earth and related environmental sciences", "Atmosphere", "MORTALITY", "Q", "R", "PAULO", "15. Life on land", "EVAPORATION", "CLIMATE", "13. Climate action", "Earth and Environmental Sciences", "Medicine", "HEATWAVES", "Seasons", "Brazil"]}, "links": [{"href": "https://www.nature.com/articles/s41598-022-09515-z.pdf"}, {"href": "https://doi.org/10.1038/s41598-022-09515-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41598-022-09515-z", "name": "item", "description": "10.1038/s41598-022-09515-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41598-022-09515-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-07T00:00:00Z"}}, {"id": "10.1039/d2ee00597b", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:47Z", "type": "Journal Article", "created": "2022-05-30", "title": "A plant-like battery: a biodegradable power source ecodesigned for precision agriculture", "description": "<p>A biodegradable battery inspired by the transpiration pull of liquids in plants has been ecodesigned to power wireless sensors and then be safely biodegraded or composted, resembling the way a plant comes back to nature at the end of its lifecycle.</p>", "keywords": ["GREAT-4PA", "Chemistry", "Evaporation Flow Redox Battery", "13. Climate action", "Biodegradable battery", "Precision Agriculture", "02 engineering and technology", "Marie Sk\u0142odowska-Curie Postodoctoral Fellowship", "0204 chemical engineering", "0210 nano-technology", "Wireless Sensor", "7. Clean energy"]}, "links": [{"href": "http://pubs.rsc.org/en/content/articlepdf/2022/EE/D2EE00597B"}, {"href": "https://doi.org/10.1039/d2ee00597b"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Energy%20%26amp%3B%20Environmental%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1039/d2ee00597b", "name": "item", "description": "10.1039/d2ee00597b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1039/d2ee00597b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1080/02626667.2022.2030866", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:08Z", "type": "Journal Article", "created": "2022-02-02", "title": "Partitioning evapotranspiration using water stable isotopes and information from lysimeter experiments", "description": "Open AccessPeer reviewed", "keywords": ["Evaporation", "0208 environmental biotechnology", "0207 environmental engineering", "02 engineering and technology", "Mass balance", "Isotopic fractionation", "Soybean", "HYDRUS-1D", "6. Clean water", "Transpiration"]}, "links": [{"href": "https://www.tandfonline.com/doi/pdf/10.1080/02626667.2022.2030866"}, {"href": "https://doi.org/10.1080/02626667.2022.2030866"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrological%20Sciences%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/02626667.2022.2030866", "name": "item", "description": "10.1080/02626667.2022.2030866", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/02626667.2022.2030866"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-21T00:00:00Z"}}, {"id": "10.1109/lgrs.2021.3073484", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:29Z", "type": "Journal Article", "created": "2021-06-10", "title": "Sentinel-1 Backscatter Assimilation Using Support Vector Regression or the Water Cloud Model at European Soil Moisture Sites", "description": "Sentinel-1 backscatter observations were assimilated into the Global Land Evaporation Amsterdam Model (GLEAM) using an ensemble Kalman filter. As a forward operator, which is required to simulate backscatter from soil moisture and leaf area index (LAI), we evaluated both the traditional water cloud model (WCM) and the support vector regression (SVR). With SVR, a closer fit between backscatter observations and simulations was achieved. The impact on the correlation between modeled and in situ soil moisture measurements was similar when assimilating the Sentinel data using WCM (\u0394 R = +0.037) or SVR (\u0394 R = +0.025).", "keywords": ["Vegetation mapping", "support vector regression (SVR)", "Technology and Engineering", "Data models", "0211 other engineering and technologies", "Computational modeling", "02 engineering and technology", "15. Life on land", "Geotechnical Engineering and Engineering Geology", "01 natural sciences", "Backscatter", "radar backscatter", "Soil", "Earth and Environmental Sciences", "LAND EVAPORATION", "Data assimilation", "Soil moisture", "Electrical and Electronic Engineering", "soil moisture", "Moisture", "SMOS", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/8859/9651998/09451176.pdf?arnumber=9451176"}, {"href": "https://doi.org/10.1109/lgrs.2021.3073484"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Geoscience%20and%20Remote%20Sensing%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/lgrs.2021.3073484", "name": "item", "description": "10.1109/lgrs.2021.3073484", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/lgrs.2021.3073484"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1111/nyas.13912", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:03Z", "type": "Journal Article", "created": "2018-06-26", "title": "Land-atmospheric feedbacks during droughts and heatwaves: state of the science and current challenges", "description": "Abstract<p>Droughts and heatwaves cause agricultural loss, forest mortality, and drinking water scarcity, especially when they occur simultaneously as combined events. Their predicted increase in recurrence and intensity poses serious threats to future food security. Still today, the knowledge of how droughts and heatwaves start and evolve remains limited, and so does our understanding of how climate change may affect them. Droughts and heatwaves have been suggested to intensify and propagate via land\uffe2\uff80\uff93atmosphere feedbacks. However, a global capacity to observe these processes is still lacking, and climate and forecast models are immature when it comes to representing the influences of land on temperature and rainfall. Key open questions remain in our goal to uncover the real importance of these feedbacks: What is the impact of the extreme meteorological conditions on ecosystem evaporation? How do these anomalies regulate the atmospheric boundary layer state (event self\uffe2\uff80\uff90intensification) and contribute to the inflow of heat and moisture to other regions (event self\uffe2\uff80\uff90propagation)? Can this knowledge on the role of land feedbacks, when available, be exploited to develop geo\uffe2\uff80\uff90engineering mitigation strategies that prevent these events from aggravating during their early stages? The goal of our perspective is not to present a convincing answer to these questions, but to assess the scientific progress to date, while highlighting new and innovative avenues to keep advancing our understanding in the future.</p>", "keywords": ["Hot Temperature", "Climate Change", "drought", "SOIL-MOISTURE", "01 natural sciences", "CARBON-DIOXIDE", "heatwave", "SURFACE EVAPORATION", "CLIMATE EXTREMES", "Humans", "drought; heatwave; land feedback; land\u2013atmospheric interactions", "land feedback", "land\u2013atmospheric interactions", "SAHEL CLIMATE", "Ecosystem", "HEAT-WAVE", "0105 earth and related environmental sciences", "2. Zero hunger", "Agriculture", "Models", " Theoretical", "15. Life on land", "FOREST", "6. Clean water", "Droughts", "SUMMER", "WATER-VAPOR", "13. Climate action", "Earth and Environmental Sciences", "land-atmospheric interactions", "GRASSLAND ENERGY-EXCHANGE", "Perspectives"]}, "links": [{"href": "https://nyaspubs.onlinelibrary.wiley.com/doi/pdf/10.1111/nyas.13912"}, {"href": "https://doi.org/10.1111/nyas.13912"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Annals%20of%20the%20New%20York%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/nyas.13912", "name": "item", "description": "10.1111/nyas.13912", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nyas.13912"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-25T00:00:00Z"}}, {"id": "10.1111/nyas.14357", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:03Z", "type": "Journal Article", "created": "2020-05-08", "title": "Atmospheric heat and moisture transport to energy\u2010 and water\u2010limited ecosystems", "description": "Abstract<p>The land biosphere is a crucial component of the Earth system that interacts with the atmosphere in a complex manner through manifold feedback processes. These relationships are bidirectional, as climate affects our terrestrial ecosystems, which, in turn, influence climate. Great progress has been made in understanding the local interactions between the terrestrial biosphere and climate, but influences from remote regions through energy and water influxes to downwind ecosystems remain less explored. Using a Lagrangian trajectory model driven by atmospheric reanalysis data, we show how heat and moisture advection affect gross carbon production at interannual scales and in different ecoregions across the globe. For water\uffe2\uff80\uff90limited regions, results show a detrimental effect on ecosystem productivity during periods of enhanced heat and reduced moisture advection. These periods are typically associated with winds that disproportionately come from continental source regions, as well as positive sensible heat flux and negative latent heat flux anomalies in those upwind locations. Our results underline the vulnerability of ecosystems to the occurrence of upwind climatic extremes and highlight the importance of the latter for the spatiotemporal propagation of ecosystem disturbances.</p>", "keywords": ["Agriculture and Food Sciences", "LAND", "DISPERSION MODEL FLEXPART", "atmospheric advection", "Climate Change", "drought", "01 natural sciences", "CARBON", "ENTRAINMENT", "SURFACE EVAPORATION", "Ecosystem", "0105 earth and related environmental sciences", "CLIMATE-CHANGE", "Atmosphere", "Water", "Original Articles", "Models", " Theoretical", "15. Life on land", "PART I", "13. Climate action", "PRECIPITATION", "EUROPE-WIDE REDUCTION", "land-atmosphere interactions", "Seasons", "ecosystems", "terrestrial carbon cycle", "PRIMARY PRODUCTIVITY"]}, "links": [{"href": "https://doi.org/10.1111/nyas.14357"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Annals%20of%20the%20New%20York%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/nyas.14357", "name": "item", "description": "10.1111/nyas.14357", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nyas.14357"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-07T00:00:00Z"}}, {"id": "10.1126/sciadv.abe6653", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:06Z", "type": "Journal Article", "created": "2022-01-07", "title": "Soil drought can mitigate deadly heat stress thanks to a reduction of air humidity", "description": "<p>Soil drought can mitigate deadly heat stress thanks to a reduction of air humidity.</p>", "keywords": ["Multidisciplinary", "CLIMATE-CHANGE", "Earth", " Environmental", " Ecological", " and Space Sciences", "FEEDBACK", "0207 environmental engineering", "AMPLIFICATION", "02 engineering and technology", "MOISTURE", "15. Life on land", "SUMMER RAINFALL", "01 natural sciences", "6. Clean water", "MODEL", "EXCEED", "13. Climate action", "Earth and Environmental Sciences", "SURFACE EVAPORATION", "TEMPERATURES", "Life Science", "HEATWAVES", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1126/sciadv.abe6653"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20Advances", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1126/sciadv.abe6653", "name": "item", "description": "10.1126/sciadv.abe6653", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1126/sciadv.abe6653"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-07T00:00:00Z"}}, {"id": "10.3390/rs10111720", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:00Z", "type": "Journal Article", "created": "2018-10-31", "title": "Towards Estimating Land Evaporation at Field Scales Using GLEAM", "description": "<p>The evaporation of water from land into the atmosphere is a key component of the hydrological cycle. Accurate estimates of this flux are essential for proper water management and irrigation scheduling. However, continuous and qualitative information on land evaporation is currently not available at the required spatio-temporal scales for agricultural applications and regional-scale water management. Here, we apply the Global Land Evaporation Amsterdam Model (GLEAM) at 100 m spatial resolution and daily time steps to provide estimates of land evaporation over The Netherlands, Flanders, and western Germany for the period 2013\uffe2\uff80\uff932017. By making extensive use of microwave-based geophysical observations, we are able to provide data under all weather conditions. The soil moisture estimates from GLEAM at high resolution compare well with in situ measurements of surface soil moisture, resulting in a median temporal correlation coefficient of 0.76 across 29 sites. Estimates of terrestrial evaporation are also evaluated using in situ eddy-covariance measurements from five sites, and compared to estimates from the coarse-scale GLEAM v3.2b, land evaporation from the Satellite Application Facility on Land Surface Analysis (LSA-SAF), and reference grass evaporation based on Makkink\uffe2\uff80\uff99s equation. All datasets compare similarly with in situ measurements and differences in the temporal statistics are small, with correlation coefficients against in situ data ranging from 0.65 to 0.95, depending on the site. Evaporation estimates from GLEAM-HR are typically bounded by the high values of the Makkink evaporation and the low values from LSA-SAF. While GLEAM-HR and LSA-SAF show the highest spatial detail, their geographical patterns diverge strongly due to differences in model assumptions, model parameterizations, and forcing data. The separate consideration of rainfall interception loss by tall vegetation in GLEAM-HR is a key cause of this divergence: while LSA-SAF reports maximum annual evaporation volumes in the Green Heart of The Netherlands, an area dominated by shrubs and grasses, GLEAM-HR shows its maximum in the national parks of the Veluwe and Heuvelrug, both densely-forested regions where rainfall interception loss is a dominant process. The pioneering dataset presented here is unique in that it provides observational-based estimates at high resolution under all weather conditions, and represents a viable alternative to traditional visible and infrared models to retrieve evaporation at field scales.</p>", "keywords": ["microwave remote sensing", "EVAPOTRANSPIRATION", "WACMOS-ET PROJECT", "Science", "FLUXNET", "Q", "LSA-SAF", "15. Life on land", "01 natural sciences", "6. Clean water", "MODEL", "CARBON", "VARIABILITY", "terrestrial evaporation", "root-zone soil moisture", "13. Climate action", "Earth and Environmental Sciences", "SURFACE EVAPORATION", "GLOBAL DATABASE", "WATER", "SOIL-MOISTURE RETRIEVALS", "terrestrial evaporation; root-zone soil moisture; microwave remote sensing; GLEAM; LSA-SAF", "GLEAM", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/10/11/1720/pdf"}, {"href": "https://doi.org/10.3390/rs10111720"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs10111720", "name": "item", "description": "10.3390/rs10111720", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs10111720"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-31T00:00:00Z"}}, {"id": "10.3390/rs11040413", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:00Z", "type": "Journal Article", "created": "2019-02-19", "title": "Exploring the Potential of Satellite Solar-Induced Fluorescence to Constrain Global Transpiration Estimates", "description": "<p>The opening and closing of plant stomata regulates the global water, carbon and energy cycles. Biophysical feedbacks on climate are highly dependent on transpiration, which is mediated by vegetation phenology and plant responses to stress conditions. Here, we explore the potential of satellite observations of solar-induced chlorophyll fluorescence (SIF)\uffe2\uff80\uff94normalized by photosynthetically-active radiation (PAR)\uffe2\uff80\uff94to diagnose the ratio of transpiration to potential evaporation (\uffe2\uff80\uff98transpiration efficiency\uffe2\uff80\uff99, \uffcf\uff84). This potential is validated at 25 eddy-covariance sites from seven biomes worldwide. The skill of the state-of-the-art land surface models (LSMs) from the eartH2Observe project to estimate \uffcf\uff84 is also contrasted against eddy-covariance data. Despite its relatively coarse (0.5\uffc2\uffb0) resolution, SIF/PAR estimates, based on data from the Global Ozone Monitoring Experiment 2 (GOME-2) and the Clouds and Earth\uffe2\uff80\uff99s Radiant Energy System (CERES), correlate to the in situ \uffcf\uff84 significantly (average inter-site correlation of 0.59), with higher correlations during growing seasons (0.64) compared to decaying periods (0.53). In addition, the skill to diagnose the variability of in situ \uffcf\uff84 demonstrated by all LSMs is on average lower, indicating the potential of SIF data to constrain the formulations of transpiration in global models via, e.g., data assimilation. Overall, SIF/PAR estimates successfully capture the effect of phenological changes and environmental stress on natural ecosystem transpiration, adequately reflecting the timing of this variability without complex parameterizations.</p>", "keywords": ["VEGETATION DYNAMICS", "Science", "STOMATAL CONDUCTANCE", "0207 environmental engineering", "solar-induced chlorophyll fluorescence", "02 engineering and technology", "01 natural sciences", "transpiration", "CARBON", "GOME-2", "WATER", "PLANT", "0105 earth and related environmental sciences", "EVAPOTRANSPIRATION", "Q", "Biology and Life Sciences", "15. Life on land", "MODEL", "EVAPORATION", "SOIL", "PARTITIONING", "transpiration efficiency", "efficiency", "13. Climate action", "Earth and Environmental Sciences", "INDUCED CHLOROPHYLL FLUORESCENCE", "solar-induced chlorophyll fluorescence; transpiration; transpiration efficiency; GOME-2; eddy-covariance", "eddy-covariance"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/11/4/413/pdf"}, {"href": "https://doi.org/10.3390/rs11040413"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs11040413", "name": "item", "description": "10.3390/rs11040413", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs11040413"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-18T00:00:00Z"}}, {"id": "10.3390/rs11091138", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:01Z", "type": "Journal Article", "created": "2019-05-13", "title": "Advances in the Remote Sensing of Terrestrial Evaporation", "description": "<p>Characterizing the terrestrial carbon, water, and energy cycles depends strongly on a capacity to accurately reproduce the spatial and temporal dynamics of land surface evaporation. For this, and many other reasons, monitoring terrestrial evaporation across multiple space and time scales has been an area of focused research for a number of decades. Much of this activity has been supported by developments in satellite remote sensing, which have been leveraged to deliver new process insights, model development and methodological improvements. In this Special Issue, published contributions explored a range of research topics directed towards the enhanced estimation of terrestrial evaporation. Here we summarize these cutting-edge efforts and provide an overview of some of the state-of-the-art approaches for retrieving this key variable. Some perspectives on outstanding challenges, issues, and opportunities are also presented.</p>", "keywords": ["Atmospheric sciences", "CubeSats", "Life on Land", "Classical Physics", "Science", "0207 environmental engineering", "02 engineering and technology", "high-resolution", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Article", "evaporation", "land surface modeling", "remote sensing", "Engineering", "novel sensing", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences", "Earth observation", "Q", "Geomatic engineering", "15. Life on land", "Geomatic Engineering", "land surface flux", "13. Climate action", "cubesats"]}, "links": [{"href": "https://www.mdpi.com/2072-4292/11/9/1138/pdf"}, {"href": "https://escholarship.org/content/qt1sh5v7hp/qt1sh5v7hp.pdf"}, {"href": "https://doi.org/10.3390/rs11091138"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs11091138", "name": "item", "description": "10.3390/rs11091138", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs11091138"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-13T00:00:00Z"}}, {"id": "10.3390/rs12101671", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:01Z", "type": "Journal Article", "created": "2020-05-25", "title": "Temporal Calibration of an Evaporation-Based Spatial Disaggregation Method of SMOS Soil Moisture Data", "description": "<p>The resolution of current satellite surface soil moisture (SM) estimates is very low, of tens of kilometers, which proves to be insufficient for various agricultural and hydrological applications. Amongst the existing downscaling approaches of remotely sensed SM, DISPATCH (DISaggregation based on a Physical And Theoretical scale CHange) improves the resolution of SMOS (Soil Moisture and Ocean Salinity) soil moisture data using soil evaporative efficiency (SEE) estimates at high resolution (HR) and a SEE(SM) model implemented at low resolution (LR). Defined as the ratio of actual to potential soil evaporation, SEE can be derived from the remotely sensed land surface temperature (LST) and normalized difference vegetation index (NDVI). The current version of DISPATCH uses a linear SEE(SM) model. This study aims at improving the SEE(SM) model and testing different calibration strategies, to ultimately have more robust and better downscaled SM products. A nonlinear SEE(SM) model is introduced and its influence on the derived HR SM products is studied over a range of conditions. Each model, linear and nonlinear, is calibrated from remote sensing data on a daily and a multi-date basis. The approaches were tested over two mixed dry and irrigated areas in Catalonia, Spain, and over one dry area in Morocco. When using the linear model, better statistical results were generally obtained using a daily calibration (current version of DISPATCH), most notably over one Spanish site. However, the best results were systematically obtained for an annually calibrated nonlinear model, in terms of all metrics considered: correlation coefficient, slope of the linear regression, bias, unbiased root mean square error. In particular, when using the annually calibrated nonlinear SEE (SM) model, the temporal slope of the linear regression between disaggregated and in situ soil moisture increased to 1.16 and 0.75 for one Spanish site and for the Moroccan site (as opposed to 0.44 and 0.58, respectively, when using the linear model with a daily calibration). The temporal correlation coefficient increased to 0.47 and 0.54 over the Spanish sites (as opposed to 0.18 and 0.27, respectively, when using the linear model with a daily calibration). Those contrasted results indicate compensation effects between the model type and the calibration strategy. Taking into account studies that report the strong nonlinear behavior of the SEE with respect to SM, the introduction of the nonlinear SEE(SM) model in DISPATCH, combined with a multi-date calibration, is proven to perform significantly better under various conditions, leading to more robust disaggregated SM products. The SEE modeling based on the nonlinear SM model, with a multi-date calibration, could be integrated into the CATDS\uffe2\uff80\uff94Centre Aval de Traitement des Donn\uffc3\uffa9es SMOS as a future product, as well as into existing evapotranspiration models, which are based on a combination of thermal and microwave data.</p>", "keywords": ["550", "Science", "Evaporation", "0207 environmental engineering", "02 engineering and technology", "551", "01 natural sciences", "evaporation", "Disaggregation", "Downscaling", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "0105 earth and related environmental sciences", "Q", "downscaling", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "MODIS", "13. Climate action", "disaggregation", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Soil moisture", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "soil moisture", "environment", "SMOS"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/10/1671/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/10/1671/pdf"}, {"href": "https://doi.org/10.3390/rs12101671"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs12101671", "name": "item", "description": "10.3390/rs12101671", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12101671"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-23T00:00:00Z"}}, {"id": "10.3390/rs10101601", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:00Z", "type": "Journal Article", "created": "2018-10-09", "title": "Sensitivity of Evapotranspiration Components in Remote Sensing-Based Models", "description": "<p>Accurately estimating evapotranspiration (ET) at large spatial scales is essential to our understanding of land-atmosphere coupling and the surface balance of water and energy. Comparisons between remote sensing-based ET models are difficult due to diversity in model formulation, parametrization and data requirements. The constituent components of ET have been shown to deviate substantially among models as well as between models and field estimates. This study analyses the sensitivity of three global ET remote sensing models in an attempt to isolate the error associated with forcing uncertainty and reveal the underlying variables driving the model components. We examine the transpiration, soil evaporation, interception and total ET estimates of the Penman-Monteith model from the Moderate Resolution Imaging Spectroradiometer (PM-MOD), the Priestley-Taylor Jet Propulsion Laboratory model (PT-JPL) and the Global Land Evaporation Amsterdam Model (GLEAM) at 42 sites where ET components have been measured using field techniques. We analyse the sensitivity of the models based on the uncertainty of the input variables and as a function of the raw value of the variables themselves. We find that, at 10% added uncertainty levels, the total ET estimates from PT-JPL, PM-MOD and GLEAM are most sensitive to Normalized Difference Vegetation Index (NDVI) (%RMSD = 100.0), relative humidity (%RMSD = 122.3) and net radiation (%RMSD = 7.49), respectively. Consistently, systemic bias introduced by forcing uncertainty in the component estimates is mitigated when components are aggregated to a total ET estimate. These results suggest that slight changes to forcing may result in outsized variation in ET partitioning and relatively smaller changes to the total ET estimates. Our results help to explain why model estimates of total ET perform relatively well despite large inter-model divergence in the individual ET component estimates.</p>", "keywords": ["550", "Science", "TROPICAL RAIN-FOREST", "0208 environmental biotechnology", "evapotranspiration", "0207 environmental engineering", "02 engineering and technology", "interception", "SOIL-MOISTURE", "transpiration", "modelling", "partitioning", "soil evaporation", "uncertainty", "DROUGHT", "evapotranspiration; modelling; sensitivity; uncertainty; transpiration; soil evaporation; interception; partitioning", "CLIMATE-CHANGE", "Q", "Biology and Life Sciences", "PLANT TRANSPIRATION", "sensitivity", "6. Clean water", "CHIHUAHUAN DESERT", "GLOBAL TERRESTRIAL EVAPOTRANSPIRATION", "13. Climate action", "Earth and Environmental Sciences", "LAND EVAPORATION", "WATER-BALANCE", "FEEDBACKS", "[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/10/10/1601/pdf"}, {"href": "https://doi.org/10.3390/rs10101601"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs10101601", "name": "item", "description": "10.3390/rs10101601", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs10101601"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-09T00:00:00Z"}}, {"id": "10.5194/gmd-12-2139-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:47Z", "type": "Journal Article", "created": "2019-05-29", "title": "Atmospheric boundary layer dynamics from balloon soundings worldwide: CLASS4GL v1.0", "description": "<p>Abstract. The coupling between soil, vegetation and atmosphere is thought to be crucial in the development and intensification of weather extremes, especially meteorological droughts, heat waves and severe storms. Therefore, understanding the evolution of the atmospheric boundary layer (ABL) and the role of land\uffe2\uff80\uff93atmosphere feedbacks is necessary for earlier warnings, better climate projection and timely societal adaptation. However, this understanding is hampered by the difficulties of attributing cause\uffe2\uff80\uff93effect relationships from complex coupled models and the irregular space\uffe2\uff80\uff93time distribution of in situ observations of the land\uffe2\uff80\uff93atmosphere system. As such, there is a need for simple deterministic appraisals that systematically discriminate land\uffe2\uff80\uff93atmosphere interactions from observed weather phenomena over large domains and climatological time spans. Here, we present a new interactive data platform to study the behavior of the ABL and land\uffe2\uff80\uff93atmosphere interactions based on worldwide weather balloon soundings and an ABL model. This software tool \uffe2\uff80\uff93 referred to as CLASS4GL (http://class4gl.eu, last access: 27\uffc2\uffa0May\uffc2\uffa02018) \uffe2\uff80\uff93 is developed with the objectives of (a)\uffc2\uffa0mining appropriate global observational data from \uffe2\uff88\uffbc15\uffc2\uffa0million weather balloon soundings since 1981 and combining them with satellite and reanalysis data and (b)\uffc2\uffa0constraining and initializing a numerical model of the daytime evolution of the ABL that serves as a tool to interpret these observations mechanistically and deterministically. As a result, it fully automizes extensive global model experiments to assess the effects of land and atmospheric conditions on the ABL evolution as observed in different climate regions around the world. The suitability of the set of observations, model formulations and global parameters employed by CLASS4GL is extensively validated. In most cases, the framework is able to realistically reproduce the observed daytime response of the mixed-layer height, potential temperature and specific humidity from the balloon soundings. In this extensive global validation exercise, a bias of 10.1\uffe2\uff80\uff89m\uffe2\uff80\uff89h\uffe2\uff88\uff921, \uffe2\uff88\uff920.036\uffe2\uff80\uff89K\uffe2\uff80\uff89h\uffe2\uff88\uff921 and 0.06\uffe2\uff80\uff89g\uffe2\uff80\uff89kg\uffe2\uff88\uff921\uffe2\uff80\uff89h\uffe2\uff88\uff921 is found for the morning-to-afternoon evolution of the mixed-layer height, potential temperature and specific humidity. The virtual tool is in continuous development and aims to foster a better process understanding of the drivers of the ABL evolution and their global distribution, particularly during the onset and amplification of weather extremes. Finally, it can also be used to scrutinize the representation of land\uffe2\uff80\uff93atmosphere feedbacks and ABL dynamics in Earth system models, numerical weather prediction models, atmospheric reanalysis and satellite retrievals, with the ultimate goal of improving local climate projections, providing earlier warning of extreme weather and fostering a more effective development of climate adaptation strategies. The tool can be easily downloaded via http://class4gl.eu (last access: 27\uffc2\uffa0May\uffc2\uffa02018) and is open source.                     </p>", "keywords": ["PARAMETRIZATION", "LAND", "PARAMETERIZATION", "QE1-996.5", "COUPLING EXPERIMENT", "Geology", "15. Life on land", "FOREST", "01 natural sciences", "PART I", "13. Climate action", "Earth and Environmental Sciences", "SURFACE EVAPORATION", "PRECIPITATION", "Life Science", "TEMPERATURE", "DROUGHT", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://gmd.copernicus.org/articles/12/2139/2019/gmd-12-2139-2019.pdf"}, {"href": "https://doi.org/10.5194/gmd-12-2139-2019"}, {"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-12-2139-2019", "name": "item", "description": "10.5194/gmd-12-2139-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-12-2139-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-06T00:00:00Z"}}, {"id": "10.5194/gmd-13-4159-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:47Z", "type": "Journal Article", "created": "2020-09-09", "title": "Evaluating the land-surface energy partitioning in ERA5", "description": "<p>Abstract. Climate reanalyses provide a plethora of global atmospheric and surface parameters in a consistent manner over multi-decadal timescales. Hence, they are widely used in many fields, and an in-depth evaluation of the different variables provided by reanalyses is a necessary means to provide feedback on the quality to their users and the operational centres producing these data sets, and to help guide their development. Recently, the European Centre for Medium-Range Weather Forecasts (ECMWF) released the new state-of-the-art climate reanalysis ERA5, following up on its popular predecessor ERA-Interim. Different sets of variables from ERA5 were already evaluated in a handful of studies, but so far, the quality of land-surface energy partitioning has not been assessed. Here, we evaluate the surface energy partitioning over land in ERA5 and concentrate on the appraisal of the surface latent heat flux, surface sensible heat flux, and Bowen ratio against different reference data sets and using different modelling tools. Most of our analyses point towards a better quality of surface energy partitioning in ERA5 than in ERA-Interim, which may be attributed to a better representation of land-surface processes in ERA5 and certainly to the better quality of near-surface meteorological variables. One of the key shortcomings of the reanalyses identified in our study is the overestimation of the surface latent heat flux over land, which \uffe2\uff80\uff93 although substantially lower than in ERA-Interim \uffe2\uff80\uff93 still remains in ERA5. Overall, our results indicate the high quality of the surface turbulent fluxes from ERA5 and the general improvement upon ERA-Interim, thereby endorsing the efforts of ECMWF to improve their climate reanalysis and to provide useful data to many scientific and operational fields.                     </p>", "keywords": ["QE1-996.5", "EVAPOTRANSPIRATION", "REANALYSIS DATA", "Geology", "MOISTURE", "01 natural sciences", "PRODUCTS", "EVAPORATION", "CLIMATE", "MODEL", "CARBON-DIOXIDE", "SOIL HEAT-FLUX", "13. Climate action", "Earth and Environmental Sciences", "WATER", "14. Life underwater", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5194/gmd-13-4159-2020"}, {"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-13-4159-2020", "name": "item", "description": "10.5194/gmd-13-4159-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-13-4159-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-09T00:00:00Z"}}, {"id": "10.5194/isprs-archives-xlii-3-w6-9-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:49Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.                     </p></article>", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/10.5194/isprs-archives-xlii-3-w6-9-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-xlii-3-w6-9-2019", "name": "item", "description": "10.5194/isprs-archives-xlii-3-w6-9-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-xlii-3-w6-9-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}, {"id": "10.5281/zenodo.13739246", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:22:18Z", "type": "Dataset", "title": "Data from: Carbon and Water Balances in a Watermelon Crop Mulched with Biodegradable Films in Mediterranean Conditions at Extended Growth Season Scale", "description": "Abstract  The uploaded data are relative to the investigation around (i) the carbon source/sink nature and, further, (ii) the water and carbon balances, of a drip-irrigated and mulched watermelon. The crop was cultivated under the semi-arid climate of the Apulia region, in south Italy.  The used mulching films were biodegradable as indicate by the producer; plants and some non-standard fruits were left on the soil as green manure after harvesting, thus, the experiment spanned from planting to the subsequent crop (6 months of continuous measurement from June to November 2023).   The results detailed in the original publication indicate that mulching films contribute to carbon sequestration in the soil (+19.3 gC m\u22122). However, this mulched watermelon represents a net carbon source, with a net biome exchange, as loss from ecosystems, equal to +230 gC m\u22122. This is primarily due to the substantial amount of carbon exported through marketable fruits. Fixed water scheduling led to water waste through deep percolation (approximately 1/6 of the water supplied), which also contributed to the loss of organic carbon via leaching (\u22124.3 gC m\u22122).   \u00a0  Methods  Site and crop  The field site was at the CREA-AA Research Unit experimental farm located in southern Italy (Rutigliano\u2013Bari, 41 01\u2019 N, 17\u00b001\u2019 E, altitude 147 m a.s.l.)., characterized by a Mediterranean semi-arid climate (average annual rainfall of 535 mm). The soil is classified as Lithic Rhodoxeralf, with a clay texture, stable structure, shallow profile (0.6\u20131.1 m) and rapid drainage due to an underlying cracked limestone subsoil. The SOC content averages around 12.0 g kg\u22121. The field capacity and the permanent wilting point volumetric water contents are 0.36 and 0.21 m3 m\u22123, respectively; with a bulk density of 1.15 Mg m\u22123, the available soil water ranges from 80 to 140 mm.  The studied watermelon crop (seedless var. Lion king), followed a broccoli cabbage crop harvested in April and partially incorporated (0.81 kg m\u22122 of fresh biomass in a soil layer depth of 0.30 m, corresponding to 0.69 kgH2O m\u22122) as green manure on 25 May 2023. Main tillage at medium depth ploughing (0.30 m) and seedbed preparation were performed between 25 and 30 May 2023; the biodegradable film mulch (model PC 100 d8, BASF, Italy, 1 m width) was applied on 1 June 2023. On the same day, driplines (2.1 Lh\u22121 emitters, 0.60 m apart) and the main organic fertilization (Orga-Kem 6.11.8 + 11CaO, 300 kg ha\u22121) were also applied. The watermelon plants were transplanted on 9 June at a spacing of 2.70 m between rows and 1 m between plants, covering an area of about 4.0 ha, with a density of approximately 3200 plants ha\u22121. Every 6 rows, the inter-row distance was 5 m to facilitate machinery passage. The first irrigation was performed the day before planting. Crop management adhered to the usual treatments in the area including mechanical weed removal every 4 weeks, irrigation around three times per week to maintain optimal soil water conditions and monthly fertigation (ammonium sulphate 50 kg ha\u22121, magnesium nitrate 30 kg ha\u22121, calcium nitrate 60 kg ha\u22121, mycorrhizae 20 kg ha\u22121). The scalar harvest of marketable fruits occurred between 28 and 31 August 2023. After harvesting, on 25 September 2023, the fresh plant residues (0.6 kg m\u22122 of fresh biomass, corresponding to 0.49 kgH2O m\u22122), unharvested fruits (4.0 kg m\u22122 of fresh material, corresponding to 3.7 kgH2O m\u22122) and the mulching film were chopped by a tractor shredder and ploughed in two steps, on 2 and 13 October 2023, to a soil depth of 0.30 m. Measurements concluded at the end of November 2023, when tillage for the new winter crop commenced.  \u00a0  Measurements of H2O and CO2 fluxes; partitioning in evaporation, transpiration, photosynthesis and respiration  The eddy covariance technique was employed to monitor water vapor (H2O) and carbon dioxide (CO2) fluxes. The equipment comprised a three-dimensional sonic anemometer (uSonic 3 Scientific, Metek GmbH, 25337 Elmshorn, Germany) and a fast response open-path infrared gas analyzer (LI-7500, Li-COR Inc., Lincoln, NE, USA). The three wind components, sonic temperature and atmospheric concentrations of CO2 and H2O were continuously measured at 1.5 m above the crop canopy, with the sensor height adjusted to follow crop growth, reaching a maximum of 1.75 m.   Data were recorded at a frequency of 10 Hz on a dedicated computer using the MeteoFlux software (Servizi Territorio, S.n.c., Cinisello Balsamo, Italy) and were stored on an hourly scale. Post-processing and computation of hourly fluxes of H2O (mmol m\u22122 s\u22121) and CO2 (\u03bcmol m\u22122 s\u22121) were conducted using EddyPro software, v7.0.9 (http://www.licor.com/eddypro), applying 60 min block averaging, double coordinate rotation, the statistical test, the maximum cross-covariance method, and the WPL density correction.  H2O and CO2 fluxes were partitioned into transpiration, evaporation, photosynthesis and respiration, respectively, using the flux variance similarity method. This method utilizes the Monin\u2013Obukhov similarity theory to separate stomatal (photosynthesis, Fp, and transpiration, Ft) from non-stomatal (respiration, Fr, and evaporation, Fe) processes (Palatella et al., 2014). the H2O and CO2 EC fluxes were partitioned using an adaptation of the code in Phyton provided by (Skaggs et al., 2018) and downloaded from \u00a0https://github.com/usda-arsussl/fluxpart (V0.2.10).", "keywords": ["CO2 fluxes", "phosynthesis", "evapotranspiration", "watermelon", "eddy covariance", "trans\u00e8piration", "respiration", "evaporation"], "contacts": [{"organization": "Rana, Gianfranco, Ferrara, Rossana Monica,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13739246"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13739246", "name": "item", "description": "10.5281/zenodo.13739246", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13739246"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-10T00:00:00Z"}}, {"id": "10.60692/t1jsz-vm842", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:07Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.                     </p></article>", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/10.60692/t1jsz-vm842"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/t1jsz-vm842", "name": "item", "description": "10.60692/t1jsz-vm842", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/t1jsz-vm842"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}, {"id": "10261/254580", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:29Z", "type": "Journal Article", "created": "2020-06-16", "title": "Effect of using pruning waste as an organic mulching on a drip-irrigated vineyard evapotranspiration under a semi-arid climate", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). In a drip-irrigated vineyard soil evaporation (E) can reach up to 30-40% of the seasonal grapevine crop evapotranspiration (ETc). Vineyard soil management can be used as a technique to reduce soil E for improving crop water use efficiency. The aim of this experiment was to analyze the effect of using pruning waste as an organic mulching on vineyard ETc. During three experimental seasons, several cycles of grapevines water use determinations were conducted using a large weighing lysimeter located in Albacete (southeast Spain) under drip irrigation. Measurements were carried out under different soil management practices: i) keeping the bare soil within the lysimeter during the first 2-3 days (bare soil), ii) covering the lysimeter soil surface with pruning waste as an organic mulching (about 5 cm thick) for the next 2-3 days (organic mulch), and iii) covering the lysimeter with a waterproof canvas (plastic mulch), similar in colour to the soil, for the last 2-3 days of each measurement cycle. In 2017, the measurements period was initiated when midday stem water potential (\u03a8stem) values reached -1.3 MPa, in order to study the effect of the different soil management on grapevine ETc when vines in the lysimeter were suffering from severe water stress. During the 3-year study, plant determinations (i.e., canopy cover and the phenological stage) showed that vines were at the same stage of development during each period of measurements. Under equal evaporative demand and fractional canopy cover, results showed a reduction in the vineyard ETc between 16-18% with the organic mulching, and up to 24-30% with the plastic mulching. Even though plastic mulches significantly reduced water evaporation from soil surface, this reduction could have resulted in an increase in crop transpiration (T). However, results in this experiment show that both organic and inorganic mulching did not increase vine T compared to no mulching conditions, based on vine T values estimated during the three experimental periods of 2015. Therefore, using pruning waste as an organic mulch could be an environmental friendly alternative to reduce soil evaporation and increase crop water productivity in large areas where vineyards are drip-irrigated. This research has been funded by the Agencia Estatal de Investigaci\u00f3n with FEDER co-financing Project AGL2017-83738-C3-3-R and by the European Commission with project \u201cSHui\u201d (grant number: 773903) and project \u201cSUPROMED\u201d (grant number: 1813). R. L\u00f3pez-Urrea acknowledges the support of the Sport, Culture and Education Council (JCCM, Spain), together with FEDER funds, throughout the \u201cANIATEL\u201d project (SBPLY/17/180501/000357). Peer reviewed", "keywords": ["Plastic mulch", "0106 biological sciences", "2. Zero hunger", "Vine transpiration", "13. Climate action", "Organic mulch", "Weighing lysimeter", "15. Life on land", "Soil evaporation", "01 natural sciences", "6. Clean water", "Water use"]}, "links": [{"href": "https://doi.org/10261/254580"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/254580", "name": "item", "description": "10261/254580", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/254580"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-01T00:00:00Z"}}, {"id": "10261/278607", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:30Z", "type": "Journal Article", "created": "2022-02-02", "title": "Partitioning evapotranspiration using water stable isotopes and information from lysimeter experiments", "description": "Open AccessPeer reviewed", "keywords": ["Evaporation", "0208 environmental biotechnology", "0207 environmental engineering", "02 engineering and technology", "Mass balance", "Isotopic fractionation", "Soybean", "HYDRUS-1D", "6. Clean water", "Transpiration"]}, "links": [{"href": "https://www.tandfonline.com/doi/pdf/10.1080/02626667.2022.2030866"}, {"href": "https://doi.org/10261/278607"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrological%20Sciences%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/278607", "name": "item", "description": "10261/278607", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/278607"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-21T00:00:00Z"}}, {"id": "10754/627861", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:42Z", "type": "Journal Article", "created": "2018-04-24", "title": "Retrieving surface soil moisture at high spatio-temporal resolution from a synergy between Sentinel-1 radar and Landsat thermal data: A study case over bare soil", "description": "Radar data have been used to retrieve and monitor the surface soil moisture (SM) changes in various conditions. However, the calibration of radar models whether empirically or physically-based, is still subject to large uncertainties especially at high-spatial resolution. To help calibrate radar-based retrieval approaches to supervising SM at high resolution, this paper presents an innovative synergistic method combining Sentinel-1 (S1) microwave and Landsat-7/8 (L7/8) thermal data. First, the S1 backscatter coefficient was normalized by its maximum and minimum values obtained during 2015\u20132016 agriculture season. Second, the normalized S1 backscatter coefficient was calibrated from reference points provided by a thermal-derived SM proxy named soil evaporative efficiency (SEE, defined as the ratio of actual to potential soil evaporation). SEE was estimated as the radiometric soil temperature normalized by its minimum and maximum values reached in a water-saturated and dry soil, respectively. We estimated both soil temperature endmembers by using a soil energy balance model forced by available meteorological forcing. The proposed approach was evaluated against in situ SM measurements collected over three bare soil fields in a semi-arid region in Morocco and we compared it against a classical approach based on radar data only. The two polarizations VV (vertical transmit and receive) and VH (vertical transmit and horizontal receive) of the S1 data available over the area are tested to analyse the sensitivity of radar signal to SM at high incidence angles (39\u00b0\u201343\u00b0). We found that the VV polarization was better correlated to SM than the VH polarization with a determination coefficient of 0.47 and 0.28, respectively. By combining S1 (VV) and L7/8 data, we reduced the root mean square difference between satellite and in situ SM to 0.03\u202fm3\u202fm\u22123, which is far smaller than 0.16\u202fm3\u202fm\u22123 when using S1 (VV) only.", "keywords": ["550", "[SDE.IE]Environmental Sciences/Environmental Engineering", "Sentinel-1 (A/B)", "near surface soil moisture", "Bare soil", "0211 other engineering and technologies", "Sentinel-1 (AB)", "02 engineering and technology", "15. Life on land", "Landsat-78", "01 natural sciences", "Energy balance modelling", "Near surface soil moisture", "Landsat-7/8", "bare soil", "13. Climate action", "energy balance modelling", "soil evaporation", "[SDE.IE] Environmental Sciences/Environmental Engineering", "Soil evaporation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://hal.archives-ouvertes.fr/hal-01912888/file/Amazirh%20et%20al_2018%20%281%29.pdf"}, {"href": "https://doi.org/10754/627861"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10754/627861", "name": "item", "description": "10754/627861", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10754/627861"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-01T00:00:00Z"}}, {"id": "1f76e902-cdef-44bb-a2eb-cdb8ff2252f2", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[14.12, 52.52], [14.12, 52.52], [14.12, 52.52], [14.12, 52.52], [14.12, 52.52]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-12-05", "type": "Service", "created": "2024-12-04", "language": "eng", "title": "Web Map Service of the weather station M\u00fcncheberg", "description": "This Web Map Service includes spatial information used by datasets 'Weather Data Muencheberg starting 1991'", "keywords": ["infoMapAccessService", "Soil", "leaves", "meteorological stations", "air temperature", "relative humidity", "evaporation", "wind measurement"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Karl Otto Wenkel", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Dieter Sowa", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Michael B\u00e4hr", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Bernd R\u00f6ber", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "bernd.roeber@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Marcel Wallschl\u00e4ger", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "marcel.wallschlaeger@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Frank Gesper", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "frank.gesper@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Frank Gesper", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "frank.gesper@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Nikolai Svoboda", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "nikolai.svoboda@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "leaves"}, {"id": "meteorological stations"}, {"id": "air temperature"}, {"id": "relative humidity"}, {"id": "evaporation"}, {"id": "wind measurement"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [], "scheme": "individual"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=1f76e902-cdef-44bb-a2eb-cdb8ff2252f2", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Zalf/Weatherstation_M%C3%BCncheberg/MapServer"}, {"rel": "self", "type": "application/geo+json", "title": "1f76e902-cdef-44bb-a2eb-cdb8ff2252f2", "name": "item", "description": "1f76e902-cdef-44bb-a2eb-cdb8ff2252f2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1f76e902-cdef-44bb-a2eb-cdb8ff2252f2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-05T00:00:00Z"}}, {"id": "2336203031", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:30Z", "type": "Journal Article", "created": "2016-04-20", "title": "Modeling soil evaporation efficiency in a range of soil and atmospheric conditions using a meta\u2010analysis approach", "description": "Abstract<p>A meta\uffe2\uff80\uff90analysis data\uffe2\uff80\uff90driven approach is developed to represent the soil evaporative efficiency (SEE) defined as the ratio of actual to potential soil evaporation. The new model is tested across a bare soil database composed of more than 30 sites around the world, a clay fraction range of 0.02\uffe2\uff80\uff930.56, a sand fraction range of 0.05\uffe2\uff80\uff930.92, and about 30,000 acquisition times. SEE is modeled using a soil resistance (rss) formulation based on surface soil moisture (\uffce\uffb8) and two resistance parameters   and \uffce\uffb8efolding. The data\uffe2\uff80\uff90driven approach aims to express both parameters as a function of observable data including meteorological forcing, cut\uffe2\uff80\uff90off soil moisture value   at which SEE=0.5, and first derivative of SEE at  , named  . An analytical relationship between   and   is first built by running a soil energy balance model for two extreme conditions with rss\uffe2\uff80\uff89=\uffe2\uff80\uff890 and   using meteorological forcing solely, and by approaching the middle point from the two (wet and dry) reference points. Two different methods are then investigated to estimate the pair   either from the time series of SEE and \uffce\uffb8 observations for a given site, or using the soil texture information for all sites. The first method is based on an algorithm specifically designed to accomodate for strongly nonlinear   relationships and potentially large random deviations of observed SEE from the mean observed  . The second method parameterizes   as a multi\uffe2\uff80\uff90linear regression of clay and sand percentages, and sets   to a constant mean value for all sites. The new model significantly outperformed the evaporation modules of ISBA (Interaction Sol\uffe2\uff80\uff90Biosph\uffc3\uffa8re\uffe2\uff80\uff90Atmosph\uffc3\uffa8re), H\uffe2\uff80\uff90TESSEL (Hydrology\uffe2\uff80\uff90Tiled ECMWF Scheme for Surface Exchange over Land), and CLM (Community Land Model). It has potential for integration in various land\uffe2\uff80\uff90surface schemes, and real calibration capabilities using combined thermal and microwave remote sensing data.</p", "keywords": ["550", "0207 environmental engineering", "modeling", "02 engineering and technology", "15. Life on land", "551", "01 natural sciences", "evaporation", "soil", "moisture", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "texture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2015WR018233"}, {"href": "https://doi.org/2336203031"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Resources%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2336203031", "name": "item", "description": "2336203031", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2336203031"}, {"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"}}, {"id": "2802981068", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:39Z", "type": "Journal Article", "created": "2018-04-19", "title": "A phenomenological model of soil evaporative efficiency using surface soil moisture and temperature data", "description": "Abstract   Modeling soil evaporation has been a notorious challenge due to the complexity of the phenomenon and the lack of data to constrain it. In this context, a parsimonious model is developed to estimate soil evaporative efficiency (SEE) defined as the ratio of actual to potential soil evaporation. It uses a soil resistance driven by surface (0\u20135\u202fcm) soil moisture, meteorological forcing and time (hour) of day, and has the capability to be calibrated using the radiometric surface temperature derived from remotely sensed thermal data. The new approach is tested over a rainfed semi-arid site, which had been under bare soil conditions during a 9-month period in 2016. Three calibration strategies are adopted based on SEE time series derived from (1) eddy-covariance measurements, (2) thermal measurements, and (3) eddy-covariance measurements used only over separate drying periods between significant rainfall events. The correlation coefficients (and slopes of the linear regression) between simulated and observed (eddy-covariance-derived) SEE are 0.85, 0.86 and 0.87 (and 0.91, 0.87 and 0.91) for calibration strategies 1, 2 and 3, respectively. Moreover, the correlation coefficient (and slope of the linear regression) between simulated and observed SEE is improved from 0.80 to 0.85 (from 0.86 to 0.91) when including hour of day in the soil resistance. The reason is that, under non-energy-limited conditions, the receding evaporation front during daytime makes SEE decrease at the hourly time scale. The soil resistance formulation can be integrated into state-of-the-art dual-source surface models and has calibration capabilities across a range of spatial scales from spaceborne microwave and thermal data.", "keywords": ["550", "0207 environmental engineering", "Soil resistance", "02 engineering and technology", "Remote sensing", "15. Life on land", "calibration", "surface temperature", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Surface temperature", "remote sensing", "Calibration", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "soil resistance", "Soil moisture", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "soil moisture", "environment", "Soil evaporation"]}, "links": [{"href": "https://doi.org/2802981068"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2802981068", "name": "item", "description": "2802981068", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2802981068"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-01T00:00:00Z"}}, {"id": "2902175533", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:41Z", "type": "Journal Article", "created": "2018-11-29", "title": "Partitioning evapotranspiration of a drip-irrigated wheat crop: Inter-comparing eddy covariance-, sap flow-, lysimeter- and FAO-based methods", "description": "Abstract   A precise estimate of the evapotranspiration (ET) partitioning is fundamental for determining the crop water needs and optimizing irrigation management. The plant transpiration (T) is generally considered to be the most desirable component, while reducing the soil evaporation (E) could be one of the most important water-saving actions in semi-arid agricultural regions. Given the lack of reference method to estimate the E/T partitioning of wheat crop, this study inter-compares four different methods based on eddy covariance, sap flow and lysimetry measurements and FAO modeling. The objectives are: i) to quantify the systematic and random uncertainty in E and T observations, ii) to evaluate the partitioning ratio (T/ET) at the daily/field scale and iii) to assess the performance of the FAO model over two drip irrigated wheat fields. Results indicate that despite the small surface sensed by mini-lysimeters, the partitioning ratio is evaluated more precisely (19% relative error) with lysimetry than with the other systems (any combination of eddy covariance, lysimetry and sap flow measurements). Moreover, stem-scale T measurements from sap flow sensors are subject to representativeness issues at the field scale, and to systematic errors during water-stress and senescence periods. The lysimeter-derived partitioning ratio increases from about 0.50 to 0.85 during the growth stage and rapidly drops towards 0 during senescence. Its dynamics is found to be significantly correlated (R>0.7) with the 5-cm soil moisture. By comparing FAO simulations with observations, it is found that the FAO method overestimates T and underestimates E, while keeping satisfying ET estimates for drip irrigated wheat. This study suggests that different independent measurement techniques should be implemented to both quantify and reduce uncertainties in the T/ET ratio, and that accurate observations are still needed to improve the modeling of E/T components.", "keywords": ["FAO-56", "2. Zero hunger", "0106 biological sciences", "550", "Lysimeter", "Eddy correlation", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Sap flow", "Wheat", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Evaporation-transpiration"]}, "links": [{"href": "https://doi.org/2902175533"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2902175533", "name": "item", "description": "2902175533", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2902175533"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-01T00:00:00Z"}}, {"id": "2966009560", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:44Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.                     </p></article>", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/2966009560"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2966009560", "name": "item", "description": "2966009560", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2966009560"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}, {"id": "3036615188", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:53Z", "type": "Journal Article", "created": "2020-06-16", "title": "Effect of using pruning waste as an organic mulching on a drip-irrigated vineyard evapotranspiration under a semi-arid climate", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). In a drip-irrigated vineyard soil evaporation (E) can reach up to 30-40% of the seasonal grapevine crop evapotranspiration (ETc). Vineyard soil management can be used as a technique to reduce soil E for improving crop water use efficiency. The aim of this experiment was to analyze the effect of using pruning waste as an organic mulching on vineyard ETc. During three experimental seasons, several cycles of grapevines water use determinations were conducted using a large weighing lysimeter located in Albacete (southeast Spain) under drip irrigation. Measurements were carried out under different soil management practices: i) keeping the bare soil within the lysimeter during the first 2-3 days (bare soil), ii) covering the lysimeter soil surface with pruning waste as an organic mulching (about 5 cm thick) for the next 2-3 days (organic mulch), and iii) covering the lysimeter with a waterproof canvas (plastic mulch), similar in colour to the soil, for the last 2-3 days of each measurement cycle. In 2017, the measurements period was initiated when midday stem water potential (\u03a8stem) values reached -1.3 MPa, in order to study the effect of the different soil management on grapevine ETc when vines in the lysimeter were suffering from severe water stress. During the 3-year study, plant determinations (i.e., canopy cover and the phenological stage) showed that vines were at the same stage of development during each period of measurements. Under equal evaporative demand and fractional canopy cover, results showed a reduction in the vineyard ETc between 16-18% with the organic mulching, and up to 24-30% with the plastic mulching. Even though plastic mulches significantly reduced water evaporation from soil surface, this reduction could have resulted in an increase in crop transpiration (T). However, results in this experiment show that both organic and inorganic mulching did not increase vine T compared to no mulching conditions, based on vine T values estimated during the three experimental periods of 2015. Therefore, using pruning waste as an organic mulch could be an environmental friendly alternative to reduce soil evaporation and increase crop water productivity in large areas where vineyards are drip-irrigated. This research has been funded by the Agencia Estatal de Investigaci\u00f3n with FEDER co-financing Project AGL2017-83738-C3-3-R and by the European Commission with project \u201cSHui\u201d (grant number: 773903) and project \u201cSUPROMED\u201d (grant number: 1813). R. L\u00f3pez-Urrea acknowledges the support of the Sport, Culture and Education Council (JCCM, Spain), together with FEDER funds, throughout the \u201cANIATEL\u201d project (SBPLY/17/180501/000357). Peer reviewed", "keywords": ["Plastic mulch", "2. Zero hunger", "0106 biological sciences", "Vine transpiration", "13. Climate action", "Organic mulch", "Weighing lysimeter", "15. Life on land", "Soil evaporation", "01 natural sciences", "6. Clean water", "Water use"]}, "links": [{"href": "https://doi.org/3036615188"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3036615188", "name": "item", "description": "3036615188", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3036615188"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-01T00:00:00Z"}}, {"id": "3135524483", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:59Z", "type": "Journal Article", "created": "2021-02-27", "title": "Implementing a new texture-based soil evaporation reduction coefficient in the FAO dual crop coefficient method", "description": "Abstract   Crop evapotranspiration (ET) is a fundamental component of the hydrological cycle, especially in arid/semi-arid regions. The FAO-56 offers an operational method for deriving ET from the reduction (dual crop coefficient Kc) of the atmospheric evaporative demand (ET0). The dual coefficient approach (FAO-2Kc) is intended to improve the daily estimation of ET by separating the contribution of bare soil evaporation (E) and crop transpiration components. The FAO-2Kc has been a well-known reference for the operational monitoring of crop water needs. However, its performance for estimating the water use efficiency is limited by uncertainties in the modeled evaporation/transpiration partitioning. This paper aims at improving the soil module of the FAO-2Kc by modifying the E reduction coefficient (Kr) according to soil texture information and state-of-the-art formulations, hence, to amend the mismatch between FAO-2Kc and field-measured data beyond standard conditions. In practice this work evaluates the performance of two evaporation models, using the classical Kr (Kr,FAO) and a new texture-based Kr (Kr,text) over 33 bare soil sites under different evaporative demand and soil conditions. An offline validation is investigated by forcing both models with observed soil moisture (     \u03b8    s     ) data as input. The Kr,text methodology provides more accurate E estimations compared to the Kr,FAO method and systematically reduces biases. Using Kr,text allows reaching the lowest root means square error (RMSE) of 0.16\u2009mm/day compared to the Kr,FAO where the lowest RMSE reached is 0.88\u2009mm/day. As a step further in the assessment of the proposed methodology, ET was estimated in three wheat fields across the entire agricultural season. Both approaches were thus inter-compared in terms of ET estimates forced by SM estimated as a residual of the water balance model (online validation). Compared to ET measurements, the new formulation provided more accurate results. The RMSE was 0.66\u2009mm/day (0.71\u2009mm/day) and the R2 was 0.83 (0.78) for the texture-based (classical) Kr.", "keywords": ["0106 biological sciences", "2. Zero hunger", "570", "Evapotranspiration", "Soil texture", "FAO-2Kc", "0207 environmental engineering", "Soil moisture", "02 engineering and technology", "15. Life on land", "Soil evaporation", "01 natural sciences", "6. Clean water"]}, "links": [{"href": "https://doi.org/3135524483"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3135524483", "name": "item", "description": "3135524483", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3135524483"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-01T00:00:00Z"}}, {"id": "1feedb4a-90e4-4edd-b105-970b1c4bf12f", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-07-19T07:10:05", "language": "eng", "title": "Evaporation (K3, Karnataka, India - Monthly - 250m)", "description": "Evaporation calculated for the Ghataprabha (K3) sub-basin area. Evaporation (e) is one of the three components of the actual evapotranspiration (SSEBop global data). It is computed as the difference between the actual evapotranspiration (ET), the interception (I) and the transpiration (T). 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