Machine learning to extend and understand the sources and limits of water cycle predictability on subseasonal-to-decadal timescales in the Earth system

Authors :: Kevin Raeder
Kathy Pegion
Sasha Glanville
Gerald A. Meehl
Isla R. Simpson
Jadwiga H. Richter
W. Chapman
Aneesh C. Subramanian
Gokhan Danabasoglu
Aixue Hu
Zane Martin
David
Judith Berner
Katherine Dagon
Sue Ellen Haupt
Maria J. Molina
Kirsten Mayer
Elizabeth A. Barnes
Steve G. Yeager
Julie Caron
Publication Year :: 2021
Publisher :: Office of Scientific and Technical Information (OSTI), 2021.

Subjects :: Earth system science
Climatology
Environmental science
Predictability
Water cycle

Full Text Access

Tools