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OPERATIONAL FORECAST OF RAINFALL INDUCED BY LANDFALLING TROPICAL CYCLONES ALONG GUANGDONG COAST.

Authors :
LI Qing-lan
LIU Bing-rong
WAN Qi-lin
WANG Yu-qing
LI Guang-xin
LI Tie-jian
LAN Hong-ping
FENG Sheng-zhong
LIU Chun-xia
Source :
Journal of Tropical Meteorology. 2020, Vol. 26 Issue 1, p1-13. 13p.
Publication Year :
2020

Abstract

Following previous studies of the rainfall forecast in Shenzhen owing to landfalling tropical cyclones (TCs), a nonparametric statistical scheme based on the classification of the landfalling TCs is applied to analyze and forecast the rainfall induced by landfalling TCs in the coastal area of Guangdong province, China. All the TCs landfalling with the distance less than 700 kilometers to the 8 coastal stations in Guangdong province during 1950-2013 are categorized according to their landfalling position and intensity. The daily rainfall records of all the 8 meteorological stations are obtained and analyzed. The maximum daily rainfall and the maximum 3 days'accumulated rainfall at the 8 coastal stations induced by each category of TCs during the TC landfall period (a couple of days before and after TC landfalling time) from 1950 to 2013 are computed by the percentile estimation and illustrated by boxplots. These boxplots can be used to estimate the rainfall induced by landfalling TC of the same category in the future. The statistical boxplot scheme is further coupled with the model outputs from the European Centre for Medium-Range Weather Forecasts (ECMWF) to predict the rainfall induced by landfalling TCs along the coastal area. The TCs landfalling in south China from 2014 to 2017 and the corresponding rainfall at the 8 stations area are used to evaluate the performance of these boxplots and coupled boxplots schemes. Results show that the statistical boxplots scheme and coupled boxplots scheme can perform better than ECMWF model in the operational rainfall forecast along the coastal area in south China. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10068775
Volume :
26
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Tropical Meteorology
Publication Type :
Academic Journal
Accession number :
145379757
Full Text :
https://doi.org/10.16555/j.1006-8775.2020.001