Consecutive one-week model predictions of land surface | ResearchBunny

Index

Abstract

Accurate temperature prediction over decades is crucial for understanding the effects of climate change. This paper presents a novel prediction method incorporating an information tracking mechanism to adapt to changes in temperature dynamics. This mechanism provides probabilistic feedback on prediction errors, preventing error accumulation. Experiments on global weekly land surface temperature prediction over a decade demonstrate the method's effectiveness.

Publisher

Communications Earth & Environment

Published On

Oct 25, 2024

Authors

Jinfu Ren, Yang Liu, Jiming Liu

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