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Rainfall strength and area from landfalling tropical cyclones over the North Indian and western North Pacific oceans under increased CO2 conditions

  • Mincheol Moon
  • , Kyung-Ja Ha*
  • , Dasol Kim
  • , Chang-Hoi Ho
  • , Doo-Sun R. Park
  • , Jung-Eun Chu*
  • , Sun-Seon Lee
  • , Johnny C.L. Chan
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

113 Downloads (CityUHK Scholars)

Abstract

Climate change due to greenhouse gases has fueled more intense tropical cyclones (TCs) globally. However, the characteristics rainfall strength (RS) and rainfall area (RA) of TCs and their future changes in regional scales are not yet fully understood. Here, using ultra-high-resolution coupled model simulations, we investigate the dominant factors which control rainfall characteristics of landfalling TCs in the North Indian Ocean (NIO) and western-North Pacific (WNP) and their future change in responses to doubling and quadrupling of atmospheric CO2 concentrations. In the NIO, RS increases more than RA when CO2 rises, but the WNP shows the opposite behavior. We demonstrate that RS is highly related to the lifetime maximum intensity, landfall intensity, and latent heat flux (LHFLX), while RA depends mainly on LHFLX, relative humidity at 600 hPa, and vertical wind shear over the WNP. Our results suggest the need to establish regional-scale adaptation strategies for future changes in landfalling TCs rainfall. © 2023 The Authors. Published by Elsevier B.V.

Original languageEnglish
Article number100581
JournalWeather and Climate Extremes
Volume41
Online published5 Jun 2023
DOIs
Publication statusPublished - Sept 2023

Funding

This research was supported by the Institute for Basic Science (IBS) IBS-R028-D1 , the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (Grant No. 2020R1A2C2006860 ). Also, this work is financially supported by Korea Ministry of Environment (MOE) as「Graduate School specialized in Climate Change」. The simulations were conducted on the IBS/ICCP supercomputer “Aleph,” 1.43-petaflop high-performance Cray XC50-LC Skylake computing system with 18,720 processor cores, 9.59-petabyte storage, and 43-petabyte tape archive space. Further information about the simulations can be found at https://ibsclimate.org/research/ultra-high-resolution-climate-simulation-project . We also acknowledge the support of KREONET. This research was supported by the Institute for Basic Science (IBS) IBS-R028-D1, the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (Grant No. 2020R1A2C2006860). Also, this work is financially supported by Korea Ministry of Environment (MOE) as「Graduate School specialized in Climate Change」. The simulations were conducted on the IBS/ICCP supercomputer “Aleph,” 1.43-petaflop high-performance Cray XC50-LC Skylake computing system with 18,720 processor cores, 9.59-petabyte storage, and 43-petabyte tape archive space. Further information about the simulations can be found at https://ibsclimate.org/research/ultra-high-resolution-climate-simulation-project. We also acknowledge the support of KREONET.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Research Keywords

  • CESM high-Resolution modeling
  • Climate change
  • CO2 increase
  • Rainfall area
  • Rainfall strength
  • Tropical cyclone

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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