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基于TRMM/FY降雨数据的台风“海葵”监测分析

付佳伟,黄萍, 李德龙,路京选,宋文龙   

  • 出版日期:2017-11-14 发布日期:2017-11-14

Monitoring and analysis of typhoon HAIKUI based on TRMM and FY precipitation data products

FU Jiawei, HUANG Ping, LI Delong, LU Jingxuan, SONG Wenlong   

  • Online:2017-11-14 Published:2017-11-14

摘要: 台风灾害往往都是由暴雨引起的,台风暴雨的研究对台风天气预报具有重要意义。在RS/GIS技术的支持下,以2012年8月发生的台风“海葵”为例,基于TRMM 3B42和FY-2D降水数据,在对两种卫星降雨数据有效性分析的基础上,对此次台风引起的强降雨过程进行了重现和分析。结果表明: 二者与实测降雨数据一致性较好,分别达到了0.944 8和0.914 5;两种卫星降雨数据都较好地抓住了强降水中心的位置;对比地面站点、TRMM 3B42和FY-2D这3种数据绘制的强降水中心区域平均降水随时间序列变化,可以发现两种卫星与地面观测数据有较为相似的时间演变特征,能较为清楚的分辨出台风的螺旋结构,并且与台风发展路径具有较高的一致性。因此,两种卫星数据在对台风路径、强降雨中心的预测上具有较大的应用潜力。

关键词: 台风监测, 降雨, 遥感, TRMM, 风云数据

Abstract: Typhoon disaster usually is brought by typhoon rainstorm, therefore the study on typhoon rainstorm is significant. Based on RS/GIS technology, taking typhoon HAIKUI in August 2012 as a case, the data validity of TRMM and FY precipitation data products are analyzed, and the spatial evolution process of the heavy rainstorm is simulated. The monitoring results indicate that the two products show well consistency with actual rainfall data and the correlation coefficients reach 0.9948 and 0.9145 respectively; these two satellite rainfall data could reflect the center of heavy rainfall well; by comparing the average precipitation and processes obtained by TRMM data, FY data and measured data respectively, it can be found that a similar evolution trend exists, which could obviously reveal the spiral structure of typhoon, and also has high consistency with the typhoon developing route. The results prove that these satellite data have great application potential in forecasting typhoon track and heavy rainfall center.

Key words: typhoon monitoring, precipitation, RS, TRMM, FY-2D