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LIN Mingsen,SONG Xingai,JIANG Xingwei. 2006. Neural network wind retrieval from ERS-1/2 scatterometer data. Acta Oceanologica Sinica, (3):35-39
Neural network wind retrieval from ERS-1/2 scatterometer data
Neural network wind retrieval from ERS-1/2 scatterometer data
Received:October 22, 2005  Revised:February 08, 2006
DOI:
Key words:BP-NN  scatterometer  wind fields  retrieval  disambiguate
中文关键词:  BP-NN  scatterometer  wind fields  retrieval  disambiguate
基金项目:
Author NameAffiliationE-mail
LIN Mingsen National Satellite Ocean Application Service, Beijing 100081, China mslin@mail.nsoas.gov.cn 
SONG Xingai National Satellite Ocean Application Service, Beijing 100081, China
College of Physical and Environment Oceanography, Ocean University of China, Qingdao 266003, China 
 
JIANG Xingwei National Satellite Ocean Application Service, Beijing 100081, China  
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Abstract:
      A neural network methodology is presented to retrieve wind vectors from ERS-1/2 scatterometer data. The wind directional ambiguities are eliminated by a circular median filter algorithm. All data come from ERS-1/2 scatterometer data collocated pairs with CMCD4 vector. Comparing the results with CMCD4 and ECMWF wind vector,they agree well, which indicates that it is possible to extract wind vector from the ERS-1/2 scatterometer with the neural network method.
中文摘要:
      A neural network methodology is presented to retrieve wind vectors from ERS-1/2 scatterometer data. The wind directional ambiguities are eliminated by a circular median filter algorithm. All data come from ERS-1/2 scatterometer data collocated pairs with CMCD4 vector. Comparing the results with CMCD4 and ECMWF wind vector,they agree well, which indicates that it is possible to extract wind vector from the ERS-1/2 scatterometer with the neural network method.
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