Mixture density network based sea surface wind field retrieval from NSCAT scatterometer data

FENG Qian; PENG Hai-long; LIN Ming-sen

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FENG Qian, PENG Hai-long, LIN Ming-sen. Mixture density network based sea surface wind field retrieval from NSCAT scatterometer data[J]. Haiyang Xuebao, 2006, 28(5): 44-48.

Citation:

FENG Qian, PENG Hai-long, LIN Ming-sen. Mixture density network based sea surface wind field retrieval from NSCAT scatterometer data[J]. Haiyang Xuebao, 2006, 28(5): 44-48.

FENG Qian, PENG Hai-long, LIN Ming-sen. Mixture density network based sea surface wind field retrieval from NSCAT scatterometer data[J]. Haiyang Xuebao, 2006, 28(5): 44-48.

Citation:

FENG Qian, PENG Hai-long, LIN Ming-sen. Mixture density network based sea surface wind field retrieval from NSCAT scatterometer data[J]. Haiyang Xuebao, 2006, 28(5): 44-48.

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Mixture density network based sea surface wind field retrieval from NSCAT scatterometer data

National Satellite Ocean Application Serevice, Beijing 100081, China

Received Date: 2005-10-27
Rev Recd Date: 2006-02-07

Abstract

Abstract

A new algorithm about the sea surface wind field retrieval is presented based on neural network using NSCAT scatterometer data.The net work for retrieving wind speed is a multi-layer perceptron.The wind direction is derived using a mixture density net work which is composed of multi-layer perceptron and mixture density model with Gaussian kernel functions.The effectiveness of this kind of neural net work is demonst rated by comparing the result with ECMWF model wind and JMA buoy data.
- scatterometer,
- sea surface wind field retrieval,
- mixture density network

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References(10)

References

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