Projected changes in cross-equatorial northerly surges and their hydrological impacts in the near future

Abstract Recent decades have witnessed unprecedented extreme precipitation and catastrophic flooding in some of the most populated regions in Southeast Asia during boreal winter. These extreme events are often influenced by the cross-equatorial northerly surge (CENS), characterized by a strengthening of northerly moist monsoon winds south of the equator in the western Maritime Continent. However, the potential future changes in CENS and its hydrological impacts remain underexplored. Here, using an ensemble of high-resolution climate model simulations (CMIP6 HighResMIP), we show that the regional impacts of CENS on the intensity and frequency of extreme precipitation events are projected to significantly increase in the near future (2030–2050), particularly over the adjacent coastal regions of southern Indonesia and northwestern Australia. More specifically, the risk of CENS-related extreme precipitation is projected to increase by up to 39 ± 1.2% relative to the seasonal probability, despite no apparent changes in the CENS characteristics in the near future. Such stronger impact is attributed to the enhanced moistening efficiency and moist static instability due to a more humid and warmer environment, which leads to more intense CENS convection. Our results suggest the need for effective monitoring and disaster managements to respond to the increasing severity of such events in the near future.

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Publication Details

Journal
npj Climate and Atmospheric Science
Published
2025-11-20
DOI
https://doi.org/10.1038/s41612-025-01239-x
Citations
2
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
2.21

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article

Projected changes in cross-equatorial northerly surges and their hydrological impacts in the near future

Chuan‐Chieh Chang, Sandro W. Lubis, Karthik Balaguru, Lai-Yung Ruby Leung et al.
2 citations
npj Climate and Atmospheric Science
Climate variability and models
2.21
article

Projected changes in cross-equatorial northerly surges and their hydrological impacts in the near future

Chuan‐Chieh Chang, Sandro W. Lubis, Karthik Balaguru, Lai-Yung Ruby Leung, Ming Zhao, Ziming Chen, Samson Hagos
article en
2 citations

Abstract

Abstract Recent decades have witnessed unprecedented extreme precipitation and catastrophic flooding in some of the most populated regions in Southeast Asia during boreal winter. These extreme events are often influenced by the cross-equatorial northerly surge (CENS), characterized by a strengthening of northerly moist monsoon winds south of the equator in the western Maritime Continent. However, the potential future changes in CENS and its hydrological impacts remain underexplored. Here, using an ensemble of high-resolution climate model simulations (CMIP6 HighResMIP), we show that the regional impacts of CENS on the intensity and frequency of extreme precipitation events are projected to significantly increase in the near future (2030–2050), particularly over the adjacent coastal regions of southern Indonesia and northwestern Australia. More specifically, the risk of CENS-related extreme precipitation is projected to increase by up to 39 ± 1.2% relative to the seasonal probability, despite no apparent changes in the CENS characteristics in the near future. Such stronger impact is attributed to the enhanced moistening efficiency and moist static instability due to a more humid and warmer environment, which leads to more intense CENS convection. Our results suggest the need for effective monitoring and disaster managements to respond to the increasing severity of such events in the near future.

npj Climate and Atmospheric ScienceVol. 8(1)
Pacific Northwest National Laboratory (US), NOAA Geophysical Fluid Dynamics Laboratory (US)
U.S. Department of Energy, Battelle, National Energy Research Scientific Computing Center, Office of Science, Biological and Environmental Research, Lawrence Berkeley National Laboratory, Pacific Northwest National Laboratory
Openalex Percentile: Top 11%
Climate variability and models
2.21
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