The Application of ANN for Downscaling GCMs Outputs for Prediction of Precipitation in Across Southern Iran

The Application of ANN for Downscaling GCMs Outputs for Prediction of Precipitation in Across Southern Iran

In this study, the artificial neural networks (ANNs) and regression models were used to downscale the simulated outputs of the general circulation models (GCMs). The simulated precipitation for 25.18 º N to 34.51 º N and 45 º E to 60 º E, geopotential height at 850 mb and zonal wind at 200 mb for 12...

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Bibliographic Details
Main Authors: N. Ahmadi Baseri, A. Shirvani, M.J. Nazemosadat
Format: Article
Language:fas
Published: Ferdowsi University of Mashhad 2015-06-01
Series:مجله آب و خاک
Subjects:
Precipitation
Across Southern Iran
Downscaling
Artificial Neural Networks
General Circulation Model
Online Access:http://jsw.um.ac.ir/index.php/jsw/article/view/21222

Internet

http://jsw.um.ac.ir/index.php/jsw/article/view/21222

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