Characteristics of rainfall distribution induced by tropical cyclones using GSMaP data over the Vietnam region

Author:

Pham Thi Thanh Nga1ORCID,Thi The Doan1,Duy Thuc Tran1,Ba Kien Truong1,Thi Phuong Hao Nguyen2,Vu-Thanh Hang3,Pham-Thanh Ha3,Pham-Quang Nam3,Nguyen Thu Hang4,Tran-Anh Quan5,Trinh-Tuan Long6ORCID

Affiliation:

1. a Vietnam Institute of Meteorology, Hydrology, and Climate Change (IMHEN), Hanoi, Vietnam

2. b Vietnam National Space Center (VNSC), Vietnam Academy of Science and Technology (VAST), Hanoi, Vietnam

3. c Faculty of Hydrology, Meteorology and Oceanography, University of Science, Vietnam National University (VNU-HUS), Hanoi, Vietnam

4. d Vietnam National Center for Hydro-Meteorological Forecasting (VNHMF), Hanoi, Vietnam

5. e Department of Environmental, Hanoi University of Mining and Geology (HUMG), Hanoi, Vietnam

6. f Vietnam Academy for Water Resources (VAWR), Hanoi, Vietnam

Abstract

ABSTRACT Tropical cyclones (TCs) contribute significantly to rainfall along Vietnam's coast, yet their complex precipitation structures remain poorly resolved, hindering forecast skill. This study analyzes TC rainfall distributions over the Vietnam East Sea from 2000 to 2020. The Global Satellite Mapping of Precipitation (GSMaP) product provides precipitation estimates with 0.1° resolution at hourly intervals, enabling detailed structural characterization. Rainfall features are analyzed across TC intensities, motion vectors, landfall locations, and interactions with cold surge (CS) air masses. Results show that total coverage differences are less significant than the intensity variations in narrow inner core rainbands. Asymmetric rainfall distributions concentrate in the front-right quadrant but shift after landfall. Northern Vietnam observes higher TC frequencies, but southern regions experience heavier extreme rains. Additionally, CS intrusions substantially intensify eyewall convection and redirect TC precipitation. These structural sensitivities visible in GSMaP observations elucidate the dynamics modulating TC rainfall. Characterizing multi-scale interactions and precipitation processes aids in forecasting and impact assessment for these high-risk storms with complex regional behavior.

Funder

National Science and Technology Planning Project

Publisher

IWA Publishing

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