Evaluating European ECOSTRESS Hub Evapotranspiration Products Retrieved from Three Structurally Contrasting SEB Models over Europe [* Cross-Reference *]

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Tian Hu; Kaniska Mallick; Patrik Hitzelberger; Yoanne Didry; Gilles Boulet; Zoltan Szantoi; Benjamin Koetz; Itziar Alonso; Madeleine Pascolini‐Campbell; Gregory Halverson; Kerry Cawse‐Nicholson; Glynn Hulley; Simon J. Hook; Nishan Bhattarai; Albert Olioso; Jean-Louis Roujean; Philippe Gamet; Zhongbo Su, 2026, "Evaluating European ECOSTRESS Hub Evapotranspiration Products Retrieved from Three Structurally Contrasting SEB Models over Europe [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.3M8PXH, LIST Open Repository, V1
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The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) is a scientific mission that collects high spatio-temporal resolution (~70 m, 1-5 days average revisit time) thermal images since its launch on 29 June 2018. As a predecessor of future missions, one of the main objectives of ECOSTRESS is to retrieve and understand the spatio-temporal variations in terrestrial evapotranspiration (ET) and its responses to soil water availability. In the European ECOSTRESS Hub (EEH), by taking advantage of land surface temperature retrievals, we generated ECOSTRESS ET products over Europe and Africa using three structurally contrasting models, namely Surface Energy Balance System (SEBS) and Two Source Energy Balance (TSEB) parametric models, as well as the non-parametric Surface Temperature Initiated Closure (STIC) model. A comprehensive evaluation of the EEH ET products was conducted with respect to flux measurements from 19 eddy covariance sites over 6 different biomes with diverse aridity levels. Results revealed comparable performances of STIC and SEBS (RMSE of ~70 W m -2 ). However, the relatively complex TSEB model produced a higher RMSE of ~90 W m -2 . Comparison between STIC ET estimate and the operational ECOSTRESS ET product from NASA PT-JPL model showed a difference in RMSE between the two ET products around 50 W m -2 . Substantial overestimation (>80 W m -2 ) was noted in PT-JPL ET estimates over shrublands and savannas presumably due to the weak constraint of LST in the model. Overall, the EEH is promising to serve as a support to the Land Surface Temperature Monitoring (LSTM) mission. (2022-11-19)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.1002/essoar.10512884.1 for the original and latest version of the publication*** (2026-07-01)
Subject Earth and Environmental Sciences; Physics
Keyword Evapotranspiration, Environmental science, Mean squared error, Eddy covariance, Radiometer, Energy balance, Arid, Atmospheric sciences, Meteorology, Remote sensing, Ecosystem, Mathematics, Geography, Statistics, Physics
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