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Improving high uncertainty of evapotranspiration products... | ResearchHub
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Improving high uncertainty of evapotranspiration products under extreme climatic conditions based on deep learning and ERA5 reanalysis data
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Authors
Long Qian
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Long Qian
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Xingjiao Yu
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•
Yicheng Wang
Published
September 1, 2024
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Journal
Journal of Hydrology
Topics
Biology
Ecology
Global And Planetary Change
Water Science And Technology
Environmental Engineering
Show all topics
DOI
10.1016/j.jhydrol.2024.131755
