Open AccessAdvancing the Predictability of Water Cycle Phenomena via the Application of AI to Model Ensemble Simulations and Observations
Author(s) -
Stephen A. Klein,
Elizabeth A. Barnes,
C. Bonfils,
Paul J. Durack,
André Gonçalves,
Alex Hall,
Jiwoo Lee,
HsiYen Ma,
Gavin D. Madakumbura,
Ana C. Ordoñez,
Giuliana Pallotta,
Stephen PoChedley,
Mark D. Zelinka,
Chengzhu Zhang
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 - 10.2172/1769656
Subject(s) - predictability , benchmarking , computer science , identification (biology) , predictive power , key (lock) , ensemble forecasting , machine learning , artificial intelligence , data science , computer security , mathematics , statistics , philosophy , botany , epistemology , marketing , business , biology
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