Document Detail


Nonlinear analog predictor analysis: a coupled neural network/analog model for climate downscaling.
MedLine Citation:
PMID:  17524616     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Synoptic downscaling models are used in climatology to predict values of weather elements at one or more stations based on values of synoptic-scale atmospheric circulation variables. This paper presents a hybrid method for climate prediction and downscaling that couples an analog, i.e., k-nearest neighbor, model to an artificial neural network (ANN) model. In the proposed method, which is based on nonlinear principal predictor analysis (NLPPA), the analog model is embedded inside an ANN, forming its output layer. Nonlinear analog predictor analysis (NLAPA) is a flexible model that maintains the ability of the analog model to preserve inter-variable relationships and model non-normal and conditional variables (such as precipitation), while taking advantage of NLPPA's ability to define an optimal set of analog predictors that maximize predictive performance. Performance on both synthetic and real-world hydroclimatological benchmark tasks indicates that the NLAPA model is capable of outperforming other forms of analog models commonly used in synoptic downscaling.
Authors:
Alex J Cannon
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-04-30
Journal Detail:
Title:  Neural networks : the official journal of the International Neural Network Society     Volume:  20     ISSN:  0893-6080     ISO Abbreviation:  Neural Netw     Publication Date:  2007 May 
Date Detail:
Created Date:  2007-06-11     Completed Date:  2007-10-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8805018     Medline TA:  Neural Netw     Country:  United States    
Other Details:
Languages:  eng     Pagination:  444-53     Citation Subset:  IM    
Affiliation:
Meteorological Service of Canada, Environment Canada, Vancouver, BC, Canada. alex.cannon@ec.gc.ca
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MeSH Terms
Descriptor/Qualifier:
Artificial Intelligence
Climate*
Neural Networks (Computer)*
Nonlinear Dynamics*
Predictive Value of Tests
Quantitative Structure-Activity Relationship*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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