CWRF performance at downscaling China climate characteristics

CWRF performance at downscaling China climate characteristics The performance of the regional Climate-Weather Research and Forecasting model (CWRF) for downscaling China climate characteristics is evaluated using a 1980–2015 simulation at 30 km grid spacing driven by the ECMWF Interim reanalysis (ERI). It is shown that CWRF outperforms the popular Regional Climate Modeling system (RegCM4.6) in key features including monsoon rain bands, diurnal temperature ranges, surface winds, interannual precipitation and temperature anoma- lies, humidity couplings, and 95th percentile daily precipitation. Even compared with ERI, which assimilates surface obser- vations, CWRF better represents the geographic distributions of seasonal mean climate and extreme precipitation. These results indicate that CWRF may significantly enhance China climate modeling capabilities. Keywords Regional climate model · Downscaling performance · Extreme precipitation · Diurnal temperature range · Surface wind · CWRF 1 Introduction et al. 2014; Giorgi and Gutowski 2015). Accordingly, over a dozen RCMs have been developed and evaluated, with Regional climate models (RCMs) are commonly used in the objective of adding value to the larger-scale driving fea- high-resolution modeling for physical process understand- tures resolved by general circulation model (GCM) simula- ing, seasonal climate prediction, climate change projec- tions or observational reanalyses. The skills and biases of tion, and climate impact assessment (Giorgi 2006; Xue various RCMs over major domains http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Climate Dynamics Springer Journals
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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Earth Sciences; Geophysics/Geodesy; Climatology; Oceanography
ISSN
0930-7575
eISSN
1432-0894
D.O.I.
10.1007/s00382-018-4257-5
Publisher site
See Article on Publisher Site

Abstract

The performance of the regional Climate-Weather Research and Forecasting model (CWRF) for downscaling China climate characteristics is evaluated using a 1980–2015 simulation at 30 km grid spacing driven by the ECMWF Interim reanalysis (ERI). It is shown that CWRF outperforms the popular Regional Climate Modeling system (RegCM4.6) in key features including monsoon rain bands, diurnal temperature ranges, surface winds, interannual precipitation and temperature anoma- lies, humidity couplings, and 95th percentile daily precipitation. Even compared with ERI, which assimilates surface obser- vations, CWRF better represents the geographic distributions of seasonal mean climate and extreme precipitation. These results indicate that CWRF may significantly enhance China climate modeling capabilities. Keywords Regional climate model · Downscaling performance · Extreme precipitation · Diurnal temperature range · Surface wind · CWRF 1 Introduction et al. 2014; Giorgi and Gutowski 2015). Accordingly, over a dozen RCMs have been developed and evaluated, with Regional climate models (RCMs) are commonly used in the objective of adding value to the larger-scale driving fea- high-resolution modeling for physical process understand- tures resolved by general circulation model (GCM) simula- ing, seasonal climate prediction, climate change projec- tions or observational reanalyses. The skills and biases of tion, and climate impact assessment (Giorgi 2006; Xue various RCMs over major domains

Journal

Climate DynamicsSpringer Journals

Published: May 21, 2018

References

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