Improving high uncertainty of evapotranspiration products under extreme climatic conditions based on deep learning and ERA5 reanalysis data

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Journal

Journal of Hydrology

Topics

Biology

Ecology

Global And Planetary Change

Water Science And Technology

Environmental Engineering

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DOI

10.1016/j.jhydrol.2024.131755