{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T13:35:34Z","timestamp":1767965734247,"version":"3.49.0"},"reference-count":65,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,12,31]],"date-time":"2023-12-31T00:00:00Z","timestamp":1703980800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Japanese Society for the Promotion of Science\u2019s Grant-in-Aid for Early-Career Scientists","award":["20K19823"],"award-info":[{"award-number":["20K19823"]}]},{"name":"Japanese Society for the Promotion of Science\u2019s Grant-in-Aid for Early-Career Scientists","award":["4000136793\/21\/I-DT-lr"],"award-info":[{"award-number":["4000136793\/21\/I-DT-lr"]}]},{"name":"European Space Agency","award":["20K19823"],"award-info":[{"award-number":["20K19823"]}]},{"name":"European Space Agency","award":["4000136793\/21\/I-DT-lr"],"award-info":[{"award-number":["4000136793\/21\/I-DT-lr"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Evapotranspiration (E) is one of the most uncertain components of the global water cycle (WC). Improving global E estimates is necessary to improve our understanding of climate and its impact on available surface water resources. This work presents a methodology for deriving monthly corrections to global E datasets at 0.25\u2218 resolution. A principled approach is proposed to firstly use indirect information from the other water components to correct E estimates at the catchment level, and secondly to extend this sparse catchment-level information to global pixel-level corrections using machine learning (ML). Several E satellite products are available, each with its own errors (both random and systematic). Four such global E datasets are used to validate the proposed approach and highlight its ability to extract seasonal and regional systematic biases. The resulting E corrections are shown to accurately generalize WC closure constraints to unseen catchments. With an average deviation of 14% from the original E datasets, the proposed method achieves up to 20% WC residual reduction on the most favorable dataset.<\/jats:p>","DOI":"10.3390\/rs16010170","type":"journal-article","created":{"date-parts":[[2023,12,31]],"date-time":"2023-12-31T04:51:51Z","timestamp":1703998311000},"page":"170","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Learning Global Evapotranspiration Dataset Corrections from a Water Cycle Closure Supervision"],"prefix":"10.3390","volume":"16","author":[{"given":"Tristan","family":"Hascoet","sequence":"first","affiliation":[{"name":"Graduate School of System Informatics, Kobe University, Kobe 657-8501, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6996-0032","authenticated-orcid":false,"given":"Victor","family":"Pellet","sequence":"additional","affiliation":[{"name":"Laboratoire d\u2019Etude du Rayonnement et de la Mati\u00e8re en Astrophysique et en Atmosph\u00e8re, Observatoire de Paris, 75014 Paris, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9426-866X","authenticated-orcid":false,"given":"Filipe","family":"Aires","sequence":"additional","affiliation":[{"name":"Laboratoire d\u2019Etude du Rayonnement et de la Mati\u00e8re en Astrophysique et en Atmosph\u00e8re, Observatoire de Paris, 75014 Paris, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5005-7679","authenticated-orcid":false,"given":"Tetsuya","family":"Takiguchi","sequence":"additional","affiliation":[{"name":"Graduate School of System Informatics, Kobe University, Kobe 657-8501, Japan"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2618","DOI":"10.1002\/2016WR020175","article-title":"The future of evapotranspiration: Global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources","volume":"53","author":"Fisher","year":"2017","journal-title":"Water Resour. 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