Seasonal forecasting of Pan-Arctic sea ice with state space model

Seasonal forecasting of Pan-Arctic sea ice with state space model

Abstract The rapid decline of Arctic sea ice resulting from anthropogenic climate change poses significant risks to indigenous communities, ecosystems, and the global climate system. This situation emphasizes the immediate necessity for precise seasonal sea ice forecasts. While dynamical models perf...

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Bibliographic Details
Main Authors: Wei Wang, Weidong Yang, Lei Wang, Guihua Wang, Ruibo Lei
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:npj Climate and Atmospheric Science
Online Access:https://doi.org/10.1038/s41612-025-01058-0
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