Performance of an empirical bias-correction of a high-resolution climate dataset-Reference-Cited by-同舟云学术

Performance of an empirical bias-correction of a high-resolution climate dataset

Published:2013-09-14 Issue:7 Volume:34 Page:2189-2204
ISSN:0899-8418
Container-title:International Journal of Climatology
language:en
Short-container-title:Int. J. Climatol.

Author:

Bennett James C.¹²,Grose Michael R.³⁴,Corney Stuart P.⁴,White Christopher J.⁴⁵,Holz Gregory K.⁴,Katzfey Jack J.³,Post David A.⁶,Bindoff Nathaniel L.¹⁴⁷⁸

Affiliation:

1. Institute for Marine and Antarctic Studies; University of Tasmania; Sandy Bay Tasmania Australia

2. CSIRO Land and Water; Highett Victoria Australia

3. CSIRO Marine and Atmospheric Research; Aspendale Victoria Australia

4. Antarctic Climate and Ecosystems Cooperative Research Centre (ACE CRC); University of Tasmania; Sandy Bay Tasmania Australia

5. School of Engineering; University of Tasmania; Sandy Bay Tasmania Australia

6. CSIRO Land and Water; Black Mountain Australian Capital Territory Australia

7. CSIRO Marine and Atmospheric Research; Battery Point Tasmania Australia

8. Tasmanian Partnership for Advanced Computing; University of Tasmania; Sandy Bay Tasmania Australia

Publisher

Wiley

Subject

Atmospheric Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/joc.3830/fullpdf

Reference36 articles.

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3. High resolution regional climate model simulations for Germany: part I-validation;Berg;Climate Dynam.,2013

4. Overestimation of Mediterranean summer temperature projections due to model deficiencies;Boberg;Nat. Clim Change,2012

5. Bayesian multi-model projection of climate: bias assumptions and interannual variability;Buser;Climate Dynam.,2009

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