Articles | Volume 14
https://doi.org/10.5194/asr-14-71-2017
https://doi.org/10.5194/asr-14-71-2017
05 Apr 2017
 | 05 Apr 2017

Atmospheric circulation types and extreme areal precipitation in southern central Europe

Jucundus Jacobeit, Markus Homann, Andreas Philipp, and Christoph Beck

Related authors

Atmospheric sounding of the boundary layer over alpine glaciers using fixed-wing UAVs
Alexander Raphael Groos, Nicolas Brand, Murat Bronz, and Andreas Philipp
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-174,https://doi.org/10.5194/amt-2024-174, 2024
Preprint under review for AMT
Short summary

Cited articles

Beck, C., Jacobeit, J., and Jones, P. D.: Frequency and within-type variations of large scale circulation types and their effects on low-frequency climate variability in Central Europe since 1780, Int. J. Climatol., 27, 473–491, 2007.
Hertig, E. and Jacobeit, J.: A novel approach to statistical downscaling considering non-stationarities: application to daily precipitation in the Mediterranean area, J. Geophys. Res.-Atmos., 118, 520–533, 2013.
Hofstätter, M., Jacobeit, J., Homann, M., Lexer, A., Chimani, B., Philipp, A., Beck, C., and Ganekind, M.: WETRAX – Weather Patterns, Cyclone Tracks and related Precipitation Extremes, Geographica Augustana, 19, 239 pp., 2015.
Philipp, A., Della-Marta, P. M., Jacobeit, J., Fereday, D. R., Jones, P. D., Moberg, A., and Wanner, H.: Long term variability of daily North Atlantic-European pressure patterns since 1850 classified by simulated annealing clustering, J. Climate, 20, 4065–4095, 2007.
Philipp, A., Beck, C., Huth, R., and Jacobeit, J.: Development and comparison of circulation type classifications using the COST 733 dataset and software, Int. J. Climatol., 36, 2673–2691, 2016.
Download
Short summary
Monthly frequencies of circulation types (derived by clustering fields of SLP, vertical wind and rel. humidity at 700 hPa and regional rainfall series) are used as predictors in regression models for monthly frequencies of regional precipitation extremes (> 95 % percentile). With predictor output from global climate models, changes in regional precipitation extremes for 2021–2050 and 2071–2100 are assessed, most distinctive in summer: increasing/decreasing extremes for the earlier/later period.