Tropical Indian Ocean forcing on North American terrestrial and agricultural productivity decline under greenhouse warming

Tropical Indian Ocean warming has intensified under greenhouse forcing, yet its influence on North American terrestrial and agricultural productivity remains poorly understood. Here we show that summer tropical Indian Ocean warming is linked to widespread drying and reduced gross primary productivity across North America. Observations and model simulations reveal that tropical Indian Ocean-induced atmospheric heating excites stationary Rossby wave trains, which establish a high-pressure ridge over western North America and suppresses moisture transport into the continent. This leads to reduced precipitation and soil moisture, leading to 10-20% reductions in terrestrial productivity and crop yields. The relationship persists after excluding El Niño–Southern Oscillation years and is reproduced in multiple climate models, showing robust teleconnection processes. These results highlight a previously underappreciated pathway through which tropical Indian Ocean warming can weaken the North American land carbon sink under future climate change. Warming in the tropical Indian Ocean triggers stationary Rossby waves that create a high-pressure ridge over western North America, cutting off moisture transport and reducing precipitation, soil moisture, and crop yields, based on observational datasets, reanalysis products, and climate models.

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Publication Details

Journal
Communications Earth & Environment
Published
2025-12-22
DOI
https://doi.org/10.1038/s43247-025-03126-y
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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article

Tropical Indian Ocean forcing on North American terrestrial and agricultural productivity decline under greenhouse warming

Junsu Kim, Soon-Il An, Jae Heung Park, Sang-Wook Yeh et al.
Communications Earth & Environment
Climate variability and models
article

Tropical Indian Ocean forcing on North American terrestrial and agricultural productivity decline under greenhouse warming

Junsu Kim, Soon-Il An, Jae Heung Park, Sang-Wook Yeh, Bin Wang, Young-Min Yang
article en

Abstract

Tropical Indian Ocean warming has intensified under greenhouse forcing, yet its influence on North American terrestrial and agricultural productivity remains poorly understood. Here we show that summer tropical Indian Ocean warming is linked to widespread drying and reduced gross primary productivity across North America. Observations and model simulations reveal that tropical Indian Ocean-induced atmospheric heating excites stationary Rossby wave trains, which establish a high-pressure ridge over western North America and suppresses moisture transport into the continent. This leads to reduced precipitation and soil moisture, leading to 10-20% reductions in terrestrial productivity and crop yields. The relationship persists after excluding El Niño–Southern Oscillation years and is reproduced in multiple climate models, showing robust teleconnection processes. These results highlight a previously underappreciated pathway through which tropical Indian Ocean warming can weaken the North American land carbon sink under future climate change. Warming in the tropical Indian Ocean triggers stationary Rossby waves that create a high-pressure ridge over western North America, cutting off moisture transport and reducing precipitation, soil moisture, and crop yields, based on observational datasets, reanalysis products, and climate models.

Communications Earth & EnvironmentVol. 6(1)
University of Hawaiʻi at Mānoa (US), Pohang University of Science and Technology (KR), University of Hawaii System (US), Korea Advanced Institute of Science and Technology (KR), Pacific International Center for High Technology Research (US), Yonsei Proteome Research Center (KR), Hanyang University (KR), Jeonbuk National University (KR), Anyang University (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Climate action
Openalex Percentile: Top 37%
Climate variability and models
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