European long lasting dry and wet phases & atmospheric circulation Variability & trends
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1 an long lasting dry and wet phases & atmospheric circulation Variability & trends Stephanie Hänsel, Wiebke Miketta, Andreas Hoy, Jörg Matschullat
2 Data Basis Data availability Station data from ECA-D ( for Gridded data (GPCC realysis) for (2.5 resolution; 256 grid cells) TU Bergakademie Freiberg Interdiscipliry Environmental Research Center Brennhausgasse 14, Freiberg, Germany 2
3 Variability in Spatial Coverage Strong similarity between different station collectives and gridded data (intensifying) Decrease in dry period coverage (intensifying) Increase in wet period coverage TU Bergakademie Freiberg Interdiscipliry Environmental Research Center Brennhausgasse 14, Freiberg, Germany 3
4 (Sub)regiol trends Regions N-C North East CN West S-W S-ERegions N-C North East CN West S-W S-E Maximum duration Average duration Spatial coverage DP -60 WP 47 DP -3 DP -27 S S Spatial coverage Average duration S S -34 DP ### WP DP WP WP Maximum duration DP WP WP WP Linear Trends [%] no trend computable ### trend > 100 % / < -100 % TU Bergakademie Freiberg Interdiscipliry Environmental Research Center Brennhausgasse 14, Freiberg, Germany 4
5 Correlations of spatial coverage with NAO Regions N-CNorth East CN West S-W S-E S S 0,20 DP # -0,17 0,15 0,09 0,08 0,39 0,34-0,13 WP # 0,22-0,17 0,01-0,03-0,35-0,29 0,17 DP # -0,38 0,15 0,02-0,06 0,58 0,59-0,05 WP # 0,49-0,14 0,08 0,07-0,48-0,57 0,25 DP # 0,19 0,08 0,27 0,19-0,03 0,03-0,26 WP # -0,18-0,16-0,23-0,18 0,03 0,01 0,75 0,55 0,45 0,35 0,25 WP 0,6 0,5 0,4 0,3 0,2 DP -0,6-0,5-0,4-0,3-0,2 0,2 0,00-0,25-0,35-0,45-0,55-0,65-0,2-0,3-0,4-0,5-0,6 0,3 0,4 0,5 0,6 TU Bergakademie Freiberg Interdiscipliry Environmental Research Center Brennhausgasse 14, Freiberg, Germany 5
6 Correlations with Grosswetterlagen (I) West (: 40%; : 34%) (WA, WZ, WS, WW, NWA, NWZ) Regions N-CNorth East CN West S-W S-E North (: 17%; : 20%) (NA, NZ, HNA, HNZ, HB, TRM, NEA, NEZ) Regions N-CNorth East CN West S-W S-E S S -0,14 DP # -0,30-0,16-0,08-0,23 0,23 0,26-0,29 DP # -0,53-0,19-0,23-0,46 0,35 0,31-0,08 DP # -0,39-0,02-0,12-0,07 0,24 0,19 S S -0,04 DP # 0,07-0,08 0,09 0,01-0,22-0,06-0,12 DP # 0,04-0,09 0,03 0,08-0,35-0,15 0,03 DP # 0,25-0,09 0,20 0,02-0,25-0,10 East (: 12%; : 10%) (HFA, HFZ, HNFA, HNFZ, SEA, SEZ) Regions N-CNorth East CN West S-W S-E South (: 13%, : 16%) (SA, SZ, TB, TRW, SWA, SWZ) Regions N-CNorth East CN West S-W S-E S S 0,18 DP # 0,47 0,21-0,01 0,19-0,21-0,33 0,26 DP # 0,63 0,26 0,14 0,29-0,39-0,38-0,05 DP # 0,41-0,06-0,15-0,03-0,29-0,16 S S -0,09 DP # -0,13 0,04-0,23-0,02 0,03-0,12 0,13 DP # 0,12 0,17-0,10 0,06 0,01-0,08-0,29 DP # -0,30 0,04-0,30-0,21-0,01-0,11 0,75 0,55 0,45 0,35 0,25 DP -0,6-0,5-0,4-0,3-0,2 0,00-0,25-0,35-0,45-0,55-0,65 0,2 0,3 0,4 0,5 0,6 Classification of W, N, E, S according Hoy et al. (2013) Large scale synopic types and their impact on an precipitation 6
7 Correlations with Grosswetterlagen (II) Wet weather types (NWZ, NZ, NEZ, TRM, TM, WZ, WS, WW, SWZ, HNZ, TRW) Dry weather types (SWA, HNA, HNFA, HNFA, SEA, SA, HM, BM, WA, HB, NEA, SZ) Regions N-CNorth East CN West S-W S-E Regions N-CNorth East CN West S-W S-E DP DP DP S S -0,53 # -0,43-0,32-0,44-0,52-0,14 0,14DP -0,59 # -0,53-0,33-0,46-0,61-0,20 0,12DP -0,55 # -0,45-0,17-0,51-0,46 0,01-0,02 DP S S 0,53 # 0,33 0,33 0,48 0,51 0,19-0,03 0,52 # 0,31 0,25 0,48 0,47 0,37 0,08 0,53 # 0,32 0,19 0,53 0,50-0,03 0,15 0,75 0,55 0,45 0,35 0,25 DP -0,6-0,5-0,4-0,3-0,2 0,00-0,25-0,35-0,45-0,55-0,65 0,2 0,3 0,4 0,5 0,6 TU Bergakademie Freiberg Interdisziplinäres ökologisches Zentrum Brennhausgasse 14, Freiberg, Deutschland Tel.: +49 (0)3731 / stephanie.haensel@ .de Dr. Stephanie Hänsel 7
8 Conclusions an dry and wet period characteristics can be approximated by station data Multidecadal variations in the coverage of long-term dry and wet periods Increases/ decreases in wet/ dry period coverage; particularly in Northern and Eastern opposite trends in Southern Plausible correlations with atmospheric circulation (e.g., NAO and Großwetterlagen) can be explained with the location of the pressure systems TU Bergakademie Freiberg Interdiscipliry Environmental Research Center Brennhausgasse 14, Freiberg, Germany 8
9 Data Basis Region Classification TU Bergakademie Freiberg Interdiscipliry Environmental Research Center Brennhausgasse 14, Freiberg, Germany 9
10 S S ESC WSC 1851 Dry and wet periods over TU Bergakademie Freiberg Interdiscipliry Environmental Research Center Brennhausgasse 14, Freiberg, Germany
11 Regiol variability in spatial coverage TU Bergakademie Freiberg Interdisziplinäres ökologisches Zentrum Brennhausgasse 14, Freiberg, Deutschland Tel.: +49 (0)3731 / stephanie.haensel@ .de Dr. Stephanie Hänsel 11
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