DocumentCode :
446119
Title :
Robustness of the NN Approach to emulating atmospheric long wave radiation in complex climate models
Author :
Krasnopolsky, Vladimir M. ; Fox-Rabinovitz, Michael S. ; Chou, Ming-Dah
Volume :
4
fYear :
2005
fDate :
July 31 2005-Aug. 4 2005
Firstpage :
2661
Abstract :
In this paper we present comparisons of NN emulations developed for two different complex climate models: NCAR CAM model and NASA NSIPP. These models have different dynamics, different horizontal and vertical resolutions and different physics (including different long wave radiation schemes). Comparison of two (NCAR and NASA) NN emulations shows their profound similarity in terms of the accuracy of emulation vs. the original parameterizations and complexity of emulating NNs, i.e. the methodological robustness and portability of our NN emulation approach.
Keywords :
atmospheric radiation; atmospheric techniques; geophysics computing; neural nets; National Center for Atmospheric Research; atmospheric long wave radiation; community atmospheric model; complex climate models; neural networks; Atmospheric modeling; Atmospheric waves; CADCAM; Computer aided manufacturing; Emulation; Geoscience; NASA; Neural networks; Physics; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-9048-2
Type :
conf
DOI :
10.1109/IJCNN.2005.1556323
Filename :
1556323
Link To Document :
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