Open AccessA library of AI-assisted FAIR water cycle and related disturbancedatasets to enable model training, parameterization and validation
Author(s) -
Robert CrystalOrnelas,
Charuleka Varadharajan,
Danielle Christianson,
Joan Damerow,
Helen Weierbach,
Emily Robles,
Lavanya Ramakrishnan,
Boris Faybishenko,
Gilberto Pastorello
Publication year - 2021
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1769646
Subject(s) - interoperability , computer science , training set , water cycle , training (meteorology) , machine learning , artificial intelligence , data mining , data science , world wide web , meteorology , ecology , physics , biology
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