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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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Auteurs principaux: Vladimir M. Krasnopolsky, Ying Lin
Format: Artigo
Langue:Inglês
Publié: Wiley 2012-01-01
Collection:Advances in Meteorology
Accès en ligne:http://dx.doi.org/10.1155/2012/649450
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