Open AccessComputationally Tractable High-Fidelity Representation of Global Hydrol-ogy in ESMs via Machine Learning Approaches to Scale-Bridging
Author(s) -
Richard Mills,
Forrest M. Hoffman,
Jitendra Kumar,
Robert Jacob,
Zachary Langford,
Sarat Sreepathi,
Nathan Collier
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 - 10.2172/1769690
Subject(s) - bridging (networking) , fidelity , computer science , earth system science , solver , scale (ratio) , problem solver , artificial intelligence , computational science , ecology , telecommunications , geography , biology , cartography , programming language , computer network
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom