TY - JOUR
T1 - Tropical monsoon rainfall can be predicted with lead times up to 10 months
AU - Ran, Guanghao
AU - Meng, Jun
AU - Fan, Jingfang
N1 - This work was supported by the National Natural Science Foundation of China (Grant No. 42450183, 12275020, 12135003, 12205025, and 42461144209) and the Ministry of Science and Technology of China (2023YFE0109000). J.F. is supported by the Fundamental Research Funds for the Central Universities.
Publisher Copyright:
© The Author(s) 2025.
PY - 2025/5/28
Y1 - 2025/5/28
N2 - Tropical monsoons play a critical role in shaping regional and global climate systems, with profound ecological and socio-economic impacts. However, their long-term prediction remains challenging due to the complex interplay of regional dynamics, global climate drivers, large-scale teleconnections, and inherent non-stationarities in the climate system. Here, we introduce a unified network-based framework for predicting monsoon precipitation across diverse tropical regions. By leveraging global 2-meter air temperature fields, this approach captures large-scale climate teleconnections, such as the El Niño-Southern Oscillation and Rossby waves, enabling accurate forecasts for four key monsoon systems: the South American, East Asian, West African, and Indian monsoons. Our framework achieves remarkable forecasting accuracy with lead times of 4-10 months, outperforming traditional systems such as Seasonal Forecast System 5 and Climate Forecast System version 2. Beyond its predictive capabilities, the framework offers flexibility for application to other regions and climate phenomena, advancing our understanding of global climate dynamics. These findings have far-reaching implications for disaster preparedness, resource management, and sustainable development.
AB - Tropical monsoons play a critical role in shaping regional and global climate systems, with profound ecological and socio-economic impacts. However, their long-term prediction remains challenging due to the complex interplay of regional dynamics, global climate drivers, large-scale teleconnections, and inherent non-stationarities in the climate system. Here, we introduce a unified network-based framework for predicting monsoon precipitation across diverse tropical regions. By leveraging global 2-meter air temperature fields, this approach captures large-scale climate teleconnections, such as the El Niño-Southern Oscillation and Rossby waves, enabling accurate forecasts for four key monsoon systems: the South American, East Asian, West African, and Indian monsoons. Our framework achieves remarkable forecasting accuracy with lead times of 4-10 months, outperforming traditional systems such as Seasonal Forecast System 5 and Climate Forecast System version 2. Beyond its predictive capabilities, the framework offers flexibility for application to other regions and climate phenomena, advancing our understanding of global climate dynamics. These findings have far-reaching implications for disaster preparedness, resource management, and sustainable development.
UR - http://www.scopus.com/inward/record.url?scp=105006750843&partnerID=8YFLogxK
UR - https://www.nature.com/articles/s43247-025-02391-1#Abs1
U2 - 10.1038/s43247-025-02391-1
DO - 10.1038/s43247-025-02391-1
M3 - Journal article
AN - SCOPUS:105006750843
SN - 2662-4435
VL - 6
JO - Communications Earth and Environment
JF - Communications Earth and Environment
IS - 1
M1 - 417
ER -