Mixture frequency analysis for tropical cyclone and non‐tropical cyclone extreme precipitation in the coastal areas: A case of Fujian in China

降水 气候学 热带气旋 环境科学 Cyclone(编程语言) 中国 大气科学 气象学 地理 地质学 计算机科学 计算机硬件 现场可编程门阵列 考古
作者
Jie Huang,Xingwei Chen,Huaxia Yao
出处
期刊:International Journal of Climatology [Wiley]
卷期号:42 (12): 6169-6182 被引量:2
标识
DOI:10.1002/joc.7583
摘要

Abstract The precipitation is classified into tropical cyclone (TC)‐induced precipitation and others, that is, non‐TC precipitation in the Asian continent and the western North Pacific. Traditional frequency analysis for the precipitation, which is a mixture series of annual maximum precipitation generated by TC and non‐TC, does not consider the difference in the generation mechanism with the assumption of independently and identically distributed. To reveal the effect of different generation mechanisms on the frequency analysis of the extreme precipitation, a multiplicative mixture frequency analysis (MMFA) model is adopted to study the interaction of non‐TC maximum precipitation (NTCMP) and TC maximum precipitation (TCMP) to the total precipitation frequency. Applying the NTCMP and TCMP data in Fujian Province located in southeast China, the results indicated that (a) the inconsistencies between NTCMP and TCMP are common, and different inconsistent patterns existed in space; (b) Different characteristics of inconsistency between the two types of precipitation had distinct effect on the estimation results of MMFA model, especially for the high return levels; and (c) The estimation results of MMFA model were demonstrated to be more secure and reliable. Therefore, the MMFA model is a suitable approach to solve the problem of mixture precipitation frequency caused by two generation mechanisms of non‐TC and TC.

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