785: MiKlip Prodef - Probabilistic decadal forecast for Europe

Principal investigator: Joaquim Pinto

Universität zu Köln, Institut für Geophysik und Meteorologie (Community project)

Project abstract

Report 1/2012 to 12/2012
Report 1/2013 to 12/2013
Final report

Publications

• Seregina LS, Haas R, Born K, Pinto JG (2014): Development of a wind gust model to estimate gust speeds and their return periods. Tellus A, 66: 22905. doi:10.3402/tellusa.v66.22905
• Haas R, Pinto JG (2012): A combined statistical and dynamical approach for downscaling large-scale footprints of European windstorms. Geophys. Res. Lett., 39: L23804. doi:10.1029/2012GL054014.
• Haas R, Pinto JG, Born K (2014): Can dynamically downscaled windstorm footprints be improved by observations through a probabilistic approach? J. Geophys. Res. – Atmospheres, 119: 713–725. doi:10.1002/2013JD020882
• Haas R, Reyers M, Pinto JG (2015): Decadal predictability of regional-scale peak winds over Europe using the Earth System Model of the Max-Planck-Institute for Meteorology. Meteorologische Zeitschrift. DOI:10.1127/metz/2015/0583.
• Moemken J, Reyers M, Buldmann B, Pinto JG (2015): Decadal predictability of regional scale wind speed and wind energy potentials over Central Europe. Tellus A (eingereicht).
• Reyers M, Pinto JG, Moemken J (2015): Statistical-dynamical downscaling for wind energy potentials: Evaluation and applications to decadal hindcasts and climate change projections. Int. J. Clim., 35: 229-244. doi: 10.1002/joc.3975.
• A combined statistical and dynamical approach for downscaling large-scale footprints of European windstorms
• Regional changes in wind energy potential over Europe using regional climate model ensemble projections
• Born K, Ludwig P, Pinto JG (2012) Wind gust estimation for Mid-European winter storms: towards a probabilistic view. Tellus A 64:17471 doi:10.3402/tellusa.v64i0.17471