ISSN 1000-0526
CN 11-2282/P
CN 11-2282/P
A Rainfall Estimation Technique Based on the Stationary Satellite Mutli-channel Data Using Artificial Neural Network Models
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Abstract:
The rainfall estimation technique based on the artificial neural network model is developed. Using the hourly GMS four channel′s data and rainfall records from hydrolgraphical station,the study of a heavy rain case which occurred in Huai River and Yangtze River basins (east of 108°E,from 24°to 36°N) shows that the average correlative coefficient between the quantitative precipitation estimation and the observation rainfall is 0.57,which is far higher than that in operation.
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