Open AccessOn Demand Machine Learning for Multi-Fidelity Biogeochemistry in River Basins Impacted by Climate Extremes
Author(s) -
Carl I. Steefel,
Dipankar Dwivedi,
Guillen Sole-Mari,
Zexuan Xu,
Ilhan Özgen,
Allan M. M. Leal,
Utkarsh Mital
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 - 10.2172/1769757
Subject(s) - biogeochemistry , watershed , fidelity , component (thermodynamics) , hydrological modelling , computer science , hierarchy , scale (ratio) , structural basin , environmental science , artificial intelligence , machine learning , geology , climatology , geography , cartography , geomorphology , oceanography , telecommunications , physics , economics , market economy , thermodynamics
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