Neural network wind retrieval from ERS-1/2 scatterometer data

SONG Xin-gai; LIN Ming-sen; JIANG Xing-wei

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SONG Xin-gai, LIN Ming-sen, JIANG Xing-wei. Neural network wind retrieval from ERS-1/2 scatterometer data[J]. Haiyang Xuebao, 2006, 28(1): 42-46.

Citation:

SONG Xin-gai, LIN Ming-sen, JIANG Xing-wei. Neural network wind retrieval from ERS-1/2 scatterometer data[J]. Haiyang Xuebao, 2006, 28(1): 42-46.

SONG Xin-gai, LIN Ming-sen, JIANG Xing-wei. Neural network wind retrieval from ERS-1/2 scatterometer data[J]. Haiyang Xuebao, 2006, 28(1): 42-46.

Citation:

SONG Xin-gai, LIN Ming-sen, JIANG Xing-wei. Neural network wind retrieval from ERS-1/2 scatterometer data[J]. Haiyang Xuebao, 2006, 28(1): 42-46.

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Neural network wind retrieval from ERS-1/2 scatterometer data

1.
Ocean University of China, Qingdao 266003 China
2.
Ocean University of China, Qingdao 266003 China;National Satellite Ocean Application Service, Beijing 100081, China
3.
National Satellite Ocean Application Service, Beijing 100081, China

Received Date: 2005-04-15
Rev Recd Date: 2005-08-18

Abstract

Abstract

A neural network methodology is presented to retrieve wind vectors from ERS 1/2 scatterometer data,and resolving directional ambiguities for scatterometer winds are removed by a circular median filter algorithm.Training data set and test data set come from ERS 1/2 scatterometer data collocated pairs with ECMWF vectors.Comparing the inversion wind velocity and wind direction with CMCD 4 and ECM WF wind vector,the result is good,the run speed is quicker than other method.The good per formance of the neural net work method suggest sthat wind retrieval from ERS 1/2 scatter ometer is possible.
- BP-NN,
- scatterometer,
- wind retrieval,
- resolving directional ambiguities

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References(9)

References

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