Quantifying sources of subseasonal prediction skill in CESM2

Quantifying sources of subseasonal prediction skill in CESM2

Abstract Subseasonal prediction fills the gap between weather forecasts and seasonal outlooks. There is evidence that predictability on subseasonal timescales comes from a combination of atmosphere, land, and ocean initial conditions. Predictability from the land is often attributed to slowly varyin...

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Bibliographic Details
Main Authors: Jadwiga H. Richter, Anne A. Glanville, Teagan King, Sanjiv Kumar, Stephen G. Yeager, Nicholas A. Davis, Yanan Duan, Megan D. Fowler, Abby Jaye, Jim Edwards, Julie M. Caron, Paul A. Dirmeyer, Gokhan Danabasoglu, Keith Oleson
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:npj Climate and Atmospheric Science
Online Access:https://doi.org/10.1038/s41612-024-00595-4

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