| 摘要: |
| 该文利用黔西南8个县级气象观测站2006—2016短时强降水个例及FY-2卫星黑体亮温TBB资料，分析短时强降水发生前2个时次、后2个时次以及发生时共5个时次的黑体亮温、黑体亮温增量与短时强降水的关系。结果表明：①在短时强降水发生前、后，黑体亮温先降后升，呈现明显的单谷结构；各时次黑体亮温与短时强降水均为负相关，其中TBB+2与短时强降水负相关最好；TBB-1与雨强20~39.9 mm/h的负相关最好，TBB+2与40~60 mm/h的负相关最好；秋季黑体亮温与短时强降水的负相关最好，春季最差；②短时强降水发生前1 h、后1 h、后2 h的亮温增量近似服从正态分布；短时强降水发生前、后亮温增量随零线有从左到右逐步右移的趋势，其中强降水发生前2 h平均负增量占71.5%，强降水发生后2 h正增量占82.1%；T4与20~39.9 mm/h的负相关最好，T1与40~60 mm/h的负相关最好；③短时强降水前、后各时次黑体亮温随年份具有增加的趋势，其中TBB+1、TBB+2的变率最大；3月发生短时强降水时黑体亮温最高，6月最低，呈现明显的单谷结构；TBB-2、TBB-1日变化较大，TBB、TBB+2、TBB+1日变化平稳，高值时段集中在13—17时，次日04时为最低；④各观测站5个时次平均黑体亮温与短时强降水均为负相关，其中贞丰站相关最为显著，仅有贞丰、望谟通过了α=0.05的检验；与其它观测站相比，贞丰站TBB-1、TBB、TBB+1、TBB+2与短时强降水的负相关均为最好，望谟站5个时次的黑体亮温与短时强降水均为显著负相关。 |
| 关键词: FY-2；黑体亮温TBB；短时强降水；黔西南 |
| DOI： |
| 投稿时间：2020-06-22 |
| 基金项目:贵州省科技厅项目（黔科合基础[2016]1138）：基于FY-2E卫星TBB资料的短时强降水估测方法研究；中国气象局预报员专项（CMAYBY2017-065）：卫星TBB资料在短时强降水中的定量研究 |
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| The Relationship between FY-2 TBB and Short-term Heavy Rainfall in Qianxinan |
| WANG Fen,WANG Wenyong,LIU Xiang,FAN Qian,DU Xiaoling,CHI Zaixiang |
| (The Meteorological Bureau of Qianxinan Prefecture,Xingyi 562400 ,China;Anlong Meteorological Bureau of Guizhou Province, Anlong 552400 , China;Guizhou Meteorological Observatory,Guiyang 550002 ,China;Liupanshui Meteorological Bureau of Guizhou Province, Liupanshui 553000 ,China) |
| Abstract: |
| The short-time heavy rainfall cases from 2006 to 2016 and the TBB data from FY-2 were used to analyze the relationship between TBB value, TBB increment and two times before short-time heavy rainfall, two times after short-time heavy rainfall, one time when its happening. The results show: ①The obvious characteristics of single trough showed up when TBB decreases first and then rises when heavy rainfall occurs. The short-time heavy rainfall is negatively correlated with TBB at each time, TBB+2 has the highest negative correlation with heavy rainfall. Heavy rainfall at the level of 20 to 39.9 mm/h has the highest negative correlation with TBB-1. Heavy rainfall at the level of 40 to 60 mm/h has the highest negative correlation with TBB+2. The correlation coefficient between TBB and heavy rainfall is significant in autumn, the correlation increased in spring. ②T2、T3、T4 increments approximately obey normal distribution. The TBB increment will gradually shift to the right along the zero line when heavy rainfall occurs. The average TBB-2 negative increment two hours before heavy rainfall occurs accounted for 71.5%. The average TBB+2 positive increment two hours after the occurrence accounts for 82.1%. Heavy rainfall at the level of 20 to 39.9 mm/h has the highest negative correlation with T4. Heavy rainfall at the level of 40 to 60 mm/h has the highest negative correlation with T1.③The annual increasing trend was showed by The TBB of each time before and after heavy rainfall. Among them, TBB+1 and TBB+2 have the highest variability. The TBB value was the highest when heavy rainfall occurred in March, reached the lowest value in June, showing distinct single valley characteristics. The daily variation of TBB-2 and TBB-1 is marked and the peak value is high. The daily variation of TBB, TBB+2 and TBB+1 are relatively stable, the high value period is roughly concentrated at 13 to 17 o'clock, and fell to the lowest at 04 o'clock. ④The average TBB value of five time in 8 county stations is negatively correlated with heavy rainfall, the correlation coefficient of Zhenfeng Station is the most significant among 8 county stations. Only Zhenfeng and Wangmo station passed the test of α=0.05. The correlation coefficients between TBB-1,TBB、TBB+1 ,TBB+2 and short-time heavy rainfall of Zhenfong Station are the highest. The five times of TBB value at Wangmo Station are significantly negatively correlated with short-time heavy rainfall. |
| Key words: FY-2；black body temperature；short-time heavy rainfall；Qianxinan |
