A new statistical correction strategy to improve long‐term dynamical prediction
Author:
Affiliation:
1. Climate Prediction Laboratory, Division of Earth Environmental Systems, Atmospheric SciencesPusan National University Busan South Korea
Publisher
Wiley
Subject
Atmospheric Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/joc.5943
Reference50 articles.
1. A new multimodel ensemble method using nonlinear genetic algorithm: An application to boreal winter surface air temperature and precipitation prediction
2. The Reproducibility of Surface Air Temperature over South Korea Using Dynamical Downscaling and Statistical Correction
3. Principal Component Analysis and Self-Organizing Map for Visualizing and Classifying Fire Risks in Forest Regions
4. Comparison of self-organizing maps classification approach with cluster and principal components analysis for large environmental data sets
5. Origins and Levels of Monthly and Seasonal Forecast Skill for United States Surface Air Temperatures Determined by Canonical Correlation Analysis
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