An improved wind speed algorithm for ＂Jason-1＂ altimeter under tropical cyclone conditions

Rain effect and lack of in situ validation data are two main causes of tropical cyclone wind retrieval errors. The National Oceanic and Atmospheric Administration＇s Climate Prediction Center Morphing technique （CMORPH） rain rate is introduced to a match-up dataset and then put into a rain correction...

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Bibliographic Details
Published in:Acta oceanologica Sinica 2014-07, Vol.33 (7), p.83-88
Main Authors: Qin, Bangyong, Zhou, Xuan, Zhang, Honglei, Yang, Xiaofeng, Lu, Rong, Yu, Yang, Shi, Lijian
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Altimeters
Atmospheric precipitations
C band
Climate prediction
Climatology
Cyclones
Datasets
Earth and Environmental Science
Earth Sciences
Ecology
Engineering Fluid Dynamics
Environmental Chemistry
Hurricanes
Ku波段
Marine & Freshwater Sciences
Morphing
Oceanography
Precipitation
Radar
Radar cross sections
Rain
Remote sensing
Retrieval
Sea surface
Superhigh frequencies
Surface wind
Tropical cyclones
Weather forecasting
Wind
Wind speed
热带气旋
现场验证
自然资源保护
速算法
雷达散射截面
风场反演
高度计
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Summary:Rain effect and lack of in situ validation data are two main causes of tropical cyclone wind retrieval errors. The National Oceanic and Atmospheric Administration＇s Climate Prediction Center Morphing technique （CMORPH） rain rate is introduced to a match-up dataset and then put into a rain correction model to remove rain effects on ＂Jason-1＂ normalized radar cross section （NRCS）; Hurricane Research Division （HRD） wind sPeed, which integrates all available surface weather observations, is used to substitute in situ data for establishing this relationship with ＂Jason-l＂ NRCS. Then, an improved ＂Jason-l＂ wind retrieval algorithm under tropical cyclone conditions is proposed. Seven tropical cyclones from 2003 to 2010 are studied to validate the new algorithm. The experimental results indicate that the standard deviation of this algorithm at C-band and Ku-band is 1.99 and 2.75 m/s respectively, which is better than the existing algorithms. In addition, the C-band algorithm is more suitable for sea surface wind retrieval than Ku-band under tropical cyclone conditions.
ISSN:0253-505X
1869-1099
DOI:10.1007/s13131-014-0500-z