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Remote Sensing Technology and Application  2014, Vol. 29 Issue (3): 378-385    DOI: doi:10.11873/j.issn.1004-0323.2014.3.0378
    
Airborne Dual\|frequency Rain Retrieval Analysis without the Use of Surface Reference Technique
Wu Qiong1,2,Shang Jian2,Yang Meilin3,Yang Hu2
(1.LAGEO,Institute of Atmosphere Physics,Chinese Academy of Sciences,Beijing 100029,China;
2.National Satellite Meteorological Center,Beijing 100081,China;
3.Support Center for Atmospheric Observing Technology,Beijing Meteorological Bureau,Beijing 100089,China)
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Abstract  

A dual-frequency rain profiling method without using a Surface Reference Technique (SRT) is described.Then,taking the valid precipitation data on 11 October 2010 in Airborne dual-frequency Precipitation Radar (APR) field campaign in Jangsu and using the dual-frequency method to retrieval Drop\|Size Distribution (DSD) parameters and rain rate.As a result,the retrieved DSD parameters are reasonable and the bright band peak can be detected in the rain profile.Moreover,the value of rain rate is similar to that detected by Spaceborne Precipitation Radar (PR).The possible errors happen in dual-frequency retrieval algorithm analysis indicated that the height of phase change and the volume ratio of liquid water may have an influence for the height lower than 4km and temperature may have an influence near the height of 3.5 km,what’s more,radar system error restrict rain rate accuracy.In summary,the dual-frequency retrieval results of APR data show the rain rate is almost consist with the actual air condition,which verifies the detection ability of APR.

Key words:  Dual-frequency rain retrieval algorithm      Airborne dual-frequency precipitation radar      Rain rate     
Received:  03 April 2013      Published:  23 June 2014
ZTFLH:  P 412.25  
Fund: 

吴琼(1985-),女,江苏常州人,助理研究员,主要从事卫星遥感与雷达气象研究。Email:wuqiong@cma.gov.cn。

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Wu Qiong
Shang Jian
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Yang Hu

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Wu Qiong,Shang Jian,Yang Meilin,Yang Hu. Airborne Dual\|frequency Rain Retrieval Analysis without the Use of Surface Reference Technique. Remote Sensing Technology and Application, 2014, 29(3): 378-385.

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http://www.rsta.ac.cn/EN/doi:10.11873/j.issn.1004-0323.2014.3.0378     OR     http://www.rsta.ac.cn/EN/Y2014/V29/I3/378

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