A Neural Network Nonlinear Multimodel Ensemble to Improve Precipitation Forecasts over Continental US
A novel multimodel ensemble approach based on learning from data using the neural network (NN) technique is formulated and applied for improving 24-hour precipitation forecasts over the continental US. The developed nonlinear approach allowed us to account for nonlinear correlation between ensemble...
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Main Authors: | Vladimir M. Krasnopolsky, Ying Lin |
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Format: | Article |
Language: | English |
Published: |
Wiley
2012-01-01
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Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2012/649450 |
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