Brightness Temperature Characteristics of Short-Duration Heavy Rainfall in the Chengdu–Chongqing Railway Region in China

Author:

Liu Xinchao12,Chen Yongren234ORCID,Guo Jie12,Song Wenwen12,Dan Jia12

Affiliation:

1. Sichuan Meteorological Service Centre, Sichuan Provincial Meteorological Service, Chengdu 610072, China

2. Heavy Rain and Drought–Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072, China

3. Meteorological Disaster Defense Technology Center, Sichuan Provincial Meteorological Service, Chengdu 610072, China

4. Institute of Plateau Meteorology, China Meteorological Administration, Chengdu 610072, China

Abstract

In this study, we analyzed the brightness temperature characteristics of short-duration heavy rainfall (SDHR) along the Chengdu–Chongqing Railway (CCR), an important corridor of economic and transportation activity in southwest China. Our findings could prove useful in the monitoring and advance warning of SDHR events: (1) SDHR predominantly occurred from July to August, with a peak frequency in July in the CCR area. In terms of diurnal variation, SDHR was mainly observed at night, particularly between 22:00–05:00 and 06:00–09:00 (local time), with a peak at 01:00; (2) The relationship between SDHR and equivalent blackbody temperature (TBB) further showed that the occurrence of SDHR was accompanied by TBB decreasing to its minimum value, after which it increased, and SDHR ceased. In cases where TBB approached its minimum value after 1 h but continued to decrease slightly, SDHR continued. When SDHR occurred, the majority of the TBB values were recorded in the range 190–230 K; within this range, values between 190 and 200 K were most frequently recorded. In general, lower TBB values are associated with more intense SDHR. Based on this finding, we used linear regression to establish an estimating equation for SDHR.

Funder

Sichuan Science and Technology Program

Innovation Team of the Southwest Regional Meteorological Center of China Meteorological Administration

2021 Science and Technology Development Fund of Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

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