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A predictable prospect of the South Asian summer monsoon

Earth Sciences

A predictable prospect of the South Asian summer monsoon

T. Zhang, X. Jiang, et al.

Discover cutting-edge advancements in the prediction of the South Asian summer monsoon (SASM) conducted by Tuantuan Zhang, Xingwen Jiang, Song Yang, Junwen Chen, and Zhenning Li. This study reveals the identification of two dominant SASM modes and introduces a new predictive index, which showcases a promising skill score for accurate seasonal forecasting. Explore the potential for improved real-time monitoring and forecasting of SASM.

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~3 min • Beginner • English
Abstract
Prediction of the South Asian summer monsoon (SASM) has remained a challenge for both scientific research and operational climate prediction for decades. By identifying two dominant modes of the SASM, here we show that the unsatisfactory prediction may be due to the fact that the existing SASM indices are mostly related to the less predictable second mode. The first mode, in fact, is highly predictable. It is physically linked to the variation of the Indian monsoon trough coupled with large rainfall anomalies over core monsoon zone and the northern Bay of Bengal. An index is constructed as a physical proxy of this first mode, which can be well predicted one season in advance, with an overall skill of 0.698 for 1979–2020. This result suggests a predictable prospect of the SASM, and we recommend the new index for real-time monitoring and prediction of the SASM.
Publisher
Nature Communications
Published On
Nov 18, 2022
Authors
Tuantuan Zhang, Xingwen Jiang, Song Yang, Junwen Chen, Zhenning Li
Tags
South Asian summer monsoon
predictability
Indian monsoon trough
forecasting
climate indices
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