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Retrievals of rain-rate over oceans from ssm/ i data using som model |
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| Authors: | Bian Jianchun Chen Hongbin Sun Haibing Yang Peicai Lu Daren Zhou Xiuji |
| Affiliation: | Department of Geophysics, Peking University, Beijing 100871,LAGEO, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,LAGEO, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,LAGEO, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,LAGEO, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,The Chinese Academy of Meteorological Sciences, Beijing 100081 |
| Abstract: | A Self-Organizing Feature Mapping (SOM) network model was developed for the retrievals of rain-rate (RR) over oceans from SSM /I measurement, by using the SSM /I and. corresponding radar-de-rived rain-rate data provided by National Space Development Agency of Japan (NASDA). Based on the frequency-distribution of rain-rate samples, the SOM model was constructed in different rain-rate ranges. The model was first trained by five-sixths of the data, and the other data were used to test the retrieval abili-ty of the model. The retrieval results of the SOM model were compared with two statistically-based algorithms. It is shown that the SOM model provides better retrievals of rain-rate. |
| Keywords: | SOM network Rain-rate retrieval SSM /I |
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