Rossby wave-modulated orbital precipitation anomalies in the Asia-Pacific region

Orbital-scale dynamics of Indo-Pacific Warm Pool (IPWP), Earth's dominant heat and moisture source, exert far-reaching yet incompletely understood influences on global hydroclimate. Here, by synthesizing sedimentary proxies with transient simulations, we identify a coherent, banded precipitation anomaly across the Asia-Pacific region that cannot be explained by regional dynamics alone. We show that seasonal deep convection over the IPWP excites planetary Rossby waves. On orbital timescales, their integrated effects are consistent with precessional forcing, while precession simultaneously modulates the large-scale atmospheric background state that influences their spatial organization. Guided by summer circulation, the Rossby-wave-related responses extend poleward and reorganize large-scale moisture transport and precipitation across the mid- and high-latitudes. The cumulative wave response and background-state modulation provide a robust dynamical linkage between tropical convection and extratropical hydroclimate on orbital timescales. This mechanism offers a physically consistent interpretation for how low-latitude orbital forcing imprints hydroclimate variability across Pan-Asia via planetary-wave dynamics.

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Publication Details

Journal
Nature Communications
Published
2026-06-16
DOI
https://doi.org/10.1038/s41467-026-74368-3
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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article

Rossby wave-modulated orbital precipitation anomalies in the Asia-Pacific region

F BASSINOT, Yair Rosenthal, Christophe Colin, Lina Song et al.
Nature Communications
Climate variability and models
article

Rossby wave-modulated orbital precipitation anomalies in the Asia-Pacific region

F BASSINOT, Yair Rosenthal, Christophe Colin, Lina Song, Zehua Song, Peng Hu, Zhaojie Yu, Zhimin Jian, Kyung‐Sook Yun, Mahyar Mohtadi, Lei Zhang, Yuanlong Li, Mingmei Xie, Shiming Wan, Xiaojie Tang
article en

Abstract

Orbital-scale dynamics of Indo-Pacific Warm Pool (IPWP), Earth's dominant heat and moisture source, exert far-reaching yet incompletely understood influences on global hydroclimate. Here, by synthesizing sedimentary proxies with transient simulations, we identify a coherent, banded precipitation anomaly across the Asia-Pacific region that cannot be explained by regional dynamics alone. We show that seasonal deep convection over the IPWP excites planetary Rossby waves. On orbital timescales, their integrated effects are consistent with precessional forcing, while precession simultaneously modulates the large-scale atmospheric background state that influences their spatial organization. Guided by summer circulation, the Rossby-wave-related responses extend poleward and reorganize large-scale moisture transport and precipitation across the mid- and high-latitudes. The cumulative wave response and background-state modulation provide a robust dynamical linkage between tropical convection and extratropical hydroclimate on orbital timescales. This mechanism offers a physically consistent interpretation for how low-latitude orbital forcing imprints hydroclimate variability across Pan-Asia via planetary-wave dynamics.

Nature Communications
Rutgers, The State University of New Jersey (US), Tongji University (CN), Centre National de la Recherche Scientifique (FR), University of Bremen (DE), Yunnan University (CN), Université de Versailles Saint-Quentin-en-Yvelines (FR), Chinese Academy of Sciences (CN), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Institute of Oceanology (CN), South China Sea Institute Of Oceanology (CN), Institute for Basic Science (KR), Qingdao National Laboratory for Marine Science and Technology (CN), Qingdao Institute of Marine Geology (CN), CEA Paris-Saclay (FR), Geosciences Paris-Saclay (FR), Pusan National University (KR), Ocean University of China (CN)
National Natural Science Foundation of China-Yunnan Joint Fund
Life below water
Openalex Percentile: Top 8%
Climate variability and models
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