On using principal components to represent stations in empirical–statistical downscaling-Reference-Cited by-同舟云学术

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On using principal components to represent stations in empirical–statistical downscaling

Published:2015-10-23 Issue:1 Volume:67 Page:28326
ISSN:1600-0870
Container-title:Tellus A: Dynamic Meteorology and Oceanography
language:en
Short-container-title:Tellus A: Dynamic Meteorology and Oceanography

Author:

Benestad Rasmus E.¹,Chen Deliang²,Mezghani Abdelkader¹,Fan Lijun³,Parding Kajsa¹

Affiliation:

1. The Norwegian Meteorological Institute PO Box 43, NO-0313 Oslo, Norway

2. University of Gothenburg Gothenburg, Sweden

3. Key Laboratory of Regional Climate – Environment for East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

Publisher

Informa UK Limited

Subject

Atmospheric Science,Oceanography

Link

https://www.tandfonline.com/doi/pdf/10.3402/tellusa.v67.28326

Reference37 articles.

1. Uncertainty in the IPCC's Third Assessment Report

2. Origins and Levels of Monthly and Seasonal Forecast Skill for United States Surface Air Temperatures Determined by Canonical Correlation Analysis

3. Benestad R. , Mezghani A . On downscaling probabilities for heavy 24-hr precipitation events at seasonal-to-decadal scales. Tellus A. 2015; 67: 25954. DOI: http://dx.doi.org/10.3402/tellusa.v67.25954 .

4. A New Global Set of Downscaled Temperature Scenarios

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