Application of Artificial Neural Network in Calculating Sensible Heat Flux
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Abstract:
The evaluation of sensible heat flux is crucial in the boundary layer study. Based on the boundary layer observation data at Wenjiang Station in the eastern edge of the Sichuan Basin, the method for calculating sensible heat flux with ANN (artificial neural network) is preliminarily studied and compared with the empirical method. The corresponding correlation analysis and error analysis are conducted with the true values. Two cases on April and May in 2009 are studied, and the results show that the correlation coefficient and variation trend of the ANN method are better than those of the empirical method; the root mean square error (RMSE) of ANN is slightly larger than that of the empirical method in April 2009 but obviously smaller in May 2009.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.