Roles of Terrain, Surface Roughness, and Cold Pool Outflows in an Extreme Rainfall Event Over the Coastal Region of South China
Abstract
An extreme rainfall event with maximum 12 hr accumulated rainfall of 464.8 mm associated with a quasi‐stationary mesoscale convective system occurred over the western coastal region of South China in June 2017. An observational analysis shows that early convective storms were initiated near the mountains and moved northeastwards. Moreover, a convergence line between cold northerly winds and warm southerly winds in the lower levels was formed, which favored the development of the quasi‐stationary system. Cold northerly winds were associated with land breeze, downslope winds as well as previous rainfall during earlier period, and cold pool outflows during later period. Cloud‐resolving simulations were performed to examine the roles of terrain, land‐sea surface roughness contrast, and cold pool outflows in the formation of heavy rainfall. Results demonstrate that land‐sea surface roughness contrast and mountains in the middle of Yangjiang and Jiangmen facilitated the formation of the convergence line during earlier period, and cold pool outflows sustained it during later period. Besides orographic lifting, coastal hills helped reduce the stability. Mountains in the middle of Yangjiang hindered the movement of the convective system, without which the associated heavy rainfall would shift farther north. Mt. Tianlu with westward concave morphology played a vital role in the formation of local convergence and the concentration of heavy rainfall. Without it, the total rainfall in the region of interest was reduced. This study suggests the importance of representing processes associated with the complex underlying surface in models for the prediction of heavy rainfall in coastal regions.
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The degraded performance in eastern and southern regions reflects the greater algorithmic challenges posed by complex terrain and heterogeneous precipitation mechanisms prevalent in these regions.
“This performance pattern reflects the greater algorithmic challenges posed by complex terrain and heterogeneous precipitation mechanisms prevalent in these regions [74,77,78].”
From A Machine Learning-Based Quality Control Algorithm for Heavy Rainfall Using Multi-Source Data (2025) · cites this paper as [78]
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A Machine Learning-Based Quality Control Algorithm for Heavy Rainfall Using Multi-Source Data
Sun, H., Zhou, Q., Shi, L., Li, C., Qin, S., Yao, D., Xu, M., Huang, Y., Hu, Q., & Guan, Y. (2025) · Remote Sensing · doi:10.3390/rs17243976 · Cited by 4 · see citing works
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- Authors
- Li, H., Huang, Y., Hu, S., Wu, N., Liu, X., & Xiao, H.
- Affiliations
- Chinese Academy of Sciences (CN)
- University of Oklahoma (US)
- Institute of Tropical and Marine Meteorology, China Meteorological Administration (CN)
- Guangdong Ecological Meteorology Center Guangzhou China
- Corresponding author
- Li, Huiqi
- Huang, Yongjie
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2021-12-06
- Volume
- 126
- Issue
- 23
- ISSN
- 0148-0227 (ISSN-L)
- 2169-897X
- 2169-8996
- OpenAlex
- W3215520331
- Cited by
- 23
- References
- 0
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 6 · 2023: 6 · 2022: 2
- FWCI
- 1.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Geophysical Research Atmospheres (publishedVersion)
- Funders
- National Natural Science Foundation of China (41905047, 42030610, 42075014)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Precipitation Measurement and Analysis
- Keywords
- extreme rainfall, topographic effects, orographic lifting, land breeze, downslope winds, convergence line, heavy rainfall forecasting, Yang Jiang, Jiangmen
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