Universität zu Köln

Reyers, Mark, Pinto, Joaquim G. and Moemken, Julia ORCID: 0000-0002-9432-0202 (2015). Statistical-dynamical downscaling for wind energy potentials: evaluation and applications to decadal hindcasts and climate change projections. Int. J. Climatol., 35 (2). S. 229 - 245. HOBOKEN: WILEY. ISSN 1097-0088

Full text not available from this repository.

Abstract

A statistical-dynamical downscaling (SDD) approach for the regionalization of wind energy output (E-out) over Europe with special focus on Germany is proposed. SDD uses an extended circulation weather type (CWT) analysis on global daily mean sea level pressure fields with the central point being located over Germany. Seventy-seven weather classes based on the associated CWT and the intensity of the geostrophic flow are identified. Representatives of these classes are dynamically downscaled with the regional climate model COSMO-CLM. By using weather class frequencies of different data sets, the simulated representatives are recombined to probability density functions (PDFs) of near-surface wind speed and finally to E-out of a sample wind turbine for present and future climate. This is performed for reanalysis, decadal hindcasts and long-term future projections. For evaluation purposes, results of SDD are compared to wind observations and to simulated E-out of purely dynamical downscaling (DD) methods. For the present climate, SDD is able to simulate realistic PDFs of 10-m wind speed for most stations in Germany. The resulting spatial E-out patterns are similar to DD-simulated E-out. In terms of decadal hindcasts, results of SDD are similar to DD-simulated E-out over Germany, Poland, Czech Republic, and Benelux, for which high correlations between annual E-out time series of SDD and DD are detected for selected hindcasts. Lower correlation is found for other European countries. It is demonstrated that SDD can be used to downscale the full ensemble of the Earth System Model of the Max Planck Institute (MPI-ESM) decadal prediction system. Long-term climate change projections in Special Report on Emission Scenarios of ECHAM5/MPI-OM as obtained by SDD agree well to the results of other studies using DD methods, with increasing E-out over northern Europe and a negative trend over southern Europe. Despite some biases, it is concluded that SDD is an adequate tool to assess regional wind energy changes in large model ensembles.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Reyers, Mark UNSPECIFIED UNSPECIFIED UNSPECIFIED Pinto, Joaquim G. UNSPECIFIED UNSPECIFIED UNSPECIFIED Moemken, Julia UNSPECIFIED orcid.org/0000-0002-9432-0202 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-413974
DOI:	10.1002/joc.3975
Journal or Publication Title:	Int. J. Climatol.
Volume:	35
Number:	2
Page Range:	S. 229 - 245
Date:	2015
Publisher:	WILEY
Place of Publication:	HOBOKEN
ISSN:	1097-0088
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language CIRCULATION; ENSEMBLE Multiple languages Meteorology & Atmospheric Sciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/41397