Atmosphere 2011, 2(2), 129-145; doi:10.3390/atmos2020129
Article

Climate Signals on the Regional Scale Derived with a Statistical Method: Relevance of the Driving Model’s Resolution

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Received: 14 January 2011; in revised form: 5 April 2011 / Accepted: 16 May 2011 / Published: 23 May 2011
(This article belongs to the Special Issue Regional Climate Change and Variability)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: When assessing the magnitude of climate signals in a regional scale, a host of optional approaches is feasible. This encompasses the use of regional climate models (RCM), nested into global climate models (GCM) for an area of interest as well as employing empirical statistical downscaling methods (ESD). In this context the question is addressed: Is an empirical statistical downscaling method capable of yielding results that are comparable to those by dynamical RCMs? Based on the presented ESD method, the comparison of RCM and ESD results show a high amount of agreement. In addition the empirical statistical downscaling can be applied directly to a GCM or a GCM-RCM cascade. The paper aims at comparing the consequences of employing various CGM-RCM-ESD combinations on the derived future changes of temperature and precipitation. This adds to the insight on the scale dependency of downscaling strategies. Results for one GCM with several scenario runs driving several RCMs with and without subsequent empirical statistical downscaling are presented. It is shown that there are only small differences between using the GCM results directly or as a GCM-RCM-ESD cascade.
Keywords: climate modelling; regional climate change; downscaling; multi-approach ensemble; empirical statistical downscaling
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MDPI and ACS Style

Kreienkamp, F.; Baumgart, S.; Spekat, A.; Enke, W. Climate Signals on the Regional Scale Derived with a Statistical Method: Relevance of the Driving Model’s Resolution. Atmosphere 2011, 2, 129-145.

AMA Style

Kreienkamp F, Baumgart S, Spekat A, Enke W. Climate Signals on the Regional Scale Derived with a Statistical Method: Relevance of the Driving Model’s Resolution. Atmosphere. 2011; 2(2):129-145.

Chicago/Turabian Style

Kreienkamp, Frank; Baumgart, Sonja; Spekat, Arne; Enke, Wolfgang. 2011. "Climate Signals on the Regional Scale Derived with a Statistical Method: Relevance of the Driving Model’s Resolution." Atmosphere 2, no. 2: 129-145.

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