Detection of Deep Convective Clouds Using AMSU-B and GOES-9 Data

摘要：

Methods to detect the deep convective cloudsusing NOAA-16/AMSU-B and GOES-9 data are provided,and a serial of algorithms of detection and discrimination arepresented and tested,which include the microwave,brightness temperatures detection from the two windowchannels,water vapor channel microwave brightnessdifferences identification based on the AMSU-B data,infrared brightness thresholds detection of cloud toptemperatures,the water vapor and infrared windowtemperature differences determination,and the classificationof cumulonimbus clouds correlating with deep convectiveclouds with infrared/water vapor spectral features.Bydetecting and analyzing deep convective clouds in theimages on 16 June in 2004,the techniques are investigated,and by matching surface conventional data the results ofvarious methods are validated.The results show thatmicrowave brightness temperatures from window channelscan discriminate deep convective clouds efficiently,differences between three water vapor channels can identifythe deep convective clouds well and depend on thethresholds less.The GOES-9 different infrared brightnessthresholds are given the detection regions are more or less.The water vapor and infrared window temperaturedifferences determination areas are smaller.The stepwisecluster can identify cumulonimbus clouds correlating withdeep convective clouds applying with infrared/water vaporspectral features,the detection areas are coincident withAMSU-B detection areas,and the surface conventional datacan validate the results,which include hazards weather andcumulonimbus clouds.

关键词： microwave remote sensing optical remote sensing deep convective cloud

作者: Zhu Yaping Liu Jianwen Cheng Zhoujie

作者单位: Institute of Aviation Meteorology,Beijing,100085,China

会议类型: 国际会议

会议名称: 2008 China-Japan Joint Microwave Conference(2008年中日微波会议)

会议地点: 上海

会议语种:英文

页码: 278-281

在线出版日期: 2008-09-10（万方平台首次上网日期，不代表论文的发表时间）