Open AccessLearned implicit representations of aerosol chemistry and physics for enhancing the predictability of water cycle extreme events
Author(s) -
Christopher W. Tessum,
Qi Tang,
Lei Zhao,
Nicole Riemer
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 - 10.2172/1769735
Subject(s) - predictability , representation (politics) , aerosol , cloud computing , cloud physics , state variable , earth system science , computer science , variable (mathematics) , state (computer science) , meteorology , mathematics , physics , algorithm , geology , statistics , thermodynamics , mathematical analysis , oceanography , politics , political science , law , operating system
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