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Journal article

Analyses of possible changes in intense and extreme wind speeds over northern Europe under climate change scenarios

From

Meteorology, Wind Energy Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark1

Wind Energy Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark2

Risø National Laboratory for Sustainable Energy, Technical University of Denmark3

Wind Energy Systems, Wind Energy Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark4

Systems Analysis Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark5

Danish Meteorological Institute6

Rossby Centre7

Dynamical downscaling of ECHAM5 using HIRHAM5 and RCA3 for a northern European domain focused on Scandinavia indicates sustained extreme wind speeds with long recurrence intervals (50 years) and intense winds are not likely to evolve out of the historical envelope of variability until the end of C21st.

Even then, significant changes are indicated only in the SW of the domain and across the central Baltic Sea where there is some evidence for relatively small magnitude increases in the 50 year return period wind speed (of up to 15%). There are marked differences in results based on the two Regional Climate Models.

Additionally, internal (inherent) variability and initial conditions exert a strong impact on projected wind climates throughout the twenty-first century. Simulations of wind gusts by one of the RCMs (RCA3) indicate some evidence for increased magnitudes (of up to +10%) in the southwest of the domain and across the central Baltic Sea by the end of the current century.

As in prior downscaling of ECHAM4, dynamical downscaling of ECHAM5 indicates a tendency towards increased energy density and thus wind power generation potential over the course of the C21st. However, caution should be used in interpreting this inference given the high degree of wind climate projection spread that derives from the specific AOGCM and RCM used in the downscaling.

Language: English
Publisher: Springer-Verlag
Year: 2012
Pages: 189-208
Journal subtitle: Observational, Theoretical and Computational Research on the Climate System
ISSN: 14320894 and 09307575
Types: Journal article
DOI: 10.1007/s00382-010-0955-3
ORCIDs: Clausen, Niels-Erik and Drews, Martin

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