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Global increase in rain rate of tropical cyclones prior to landfall

  • Quanjia Zhong
  • , Jianping Gan*
  • , Shifei Tu
  • , Ralf Toumi
  • , Johnny C. L. Chan*
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

12 Downloads (CityUHK Scholars)

Abstract

Most studies on tropical cyclone (TC) rain rate focus on long-term variability, yet the short-term (days or shorter) variations across the TC lifecycle, with a particular focus on the period before landfall, are most critical because they strongly influence flood risk. Using satellite data, we show that, globally, the mean rain rate of TCs increases by over 20% from 60 hours before landfall to the time of landfall. This increase occurs across hemispheres, ocean basins, intensity categories, and latitudes, although the magnitude varies. As a TC approaches the coast, land-sea thermal contrasts raise low-level humidity over land, while frictional differences enhance convergence, upward motion, and instability on the offshore side of the circulation. These conditions collectively promote increased convection and precipitation of TCs as they near landfall. Our findings critically strengthen the current understanding of TC precipitation dynamics and support more effective flood management.
Original languageEnglish
Article number114
Number of pages9
JournalNature Communications
Volume17
Online published7 Jan 2026
DOIs
Publication statusOnline published - 7 Jan 2026

Funding

This research was supported by the Area of Excellence Scheme, Hong Kong Research Grants Council (Grant/Award Number: AoE/P-601/23-N) and by the Center for Ocean Research in Hong Kong and Macau (CORE). CORE is a joint ocean research center between the Laoshan National Laboratory for Marine Science and Technology and the Hong Kong University of Science and Technology. S.T. was supported by the Guangdong Basic and Applied Basic Science Research Foundation (2024A1515010714). R.T. was supported by the Natural Environment Research Council (NE/W009587/1) and the Singapore Green Finance Centre. We thank National Supercomputing Center in Guangzhou Nansha Sub-center for computational resources.

UN SDGs

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

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Publisher's Copyright Statement

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

RGC Funding Information

  • RGC-funded

ESI Highly Cited Papers

  • Highly Cited Paper 2026

ESI Highly Cited Paper Designation Date(s)

  • 20260923

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