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

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 Mappin...

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Bibliographic Details
Published in:Journal of water and climate change 2024-08, Vol.15 (8), p.4001-4015
Main Authors: Pham Thi Thanh, Nga, Thi, The Doan, Duy, Thuc Tran, Ba, Kien Truong, Thi Phuong, Hao Nguyen, Vu-Thanh, Hang, Pham-Thanh, Ha, Pham-Quang, Nam, Nguyen Thu, Hang, Tran-Anh, Quan, Trinh-Tuan, Long
Format: Article
Language:English
Subjects:
Air masses
Coasts
Convection
Cyclones
Dynamic structural analysis
Extreme weather
Floods
Forecasting skill
Hurricanes
Impact assessment
Landslides & mudslides
Precipitation
Precipitation estimation
Precipitation processes
Rain
Rainfall
Rainfall distribution
Skewed distributions
Storms
Tropical cyclone intensities
Tropical cyclone rainfall
Tropical cyclones
Vectors
Weather forecasting
Wind shear
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Summary: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.
ISSN:2040-2244
2408-9354
DOI:10.2166/wcc.2024.210