Fig. 5: Recurrent wave connecting 2010 extremes in weather@home.
From: Drivers behind the summer 2010 wave train leading to Russian heatwave and Pakistan flooding
Panel a: composite of Glob2010 SAT over Eurasia for the period 24.07–08.08 (anomalies from Glob2010 ensemble mean for the same period) obtained by selecting those ensemble members that show both WRussia SAT (Glob2010) and Pakistan Rainfall (Reg2010) indices above the 90th percentile, i.e. the concurrent events. Panel b: PDF for WRussia SAT index in Glob2010 (solid orange line, top). PDF for Pakistan Rainfall index in Glob2010 (solid blue line, middle right) and scatter plot (middle left) of Pakistan Rainfall index on WRussia SAT for GlobClim (gray dots) and for Glob2010 ensemble (orange dots). PDF for Pakistan Rainfall index in Reg2010 (solid blue line, bottom right) and scatter plot (bottom left) of Pakistan Rainfall index on WRussia SAT for Reg2010 (orange dots). Black lines show the 90th percentile both in the PDFs and in the scatter plot and highlight the concurrent events in the top right gray-shaded panels in each scatter plot. Panels c and d: Same as for Panel a but showing composites of Glob2010 and Reg2010 Rainfall, respectively. Panel e: composite of Glob2010 Z300 for the period 24.07–08.08 (anomalies from Glob2010 ensemble mean for the same period) obtained by selecting those ensemble members that show both Glob2010 WRussia SAT and Reg2010 Pakistan Rainfall indices above the 90th percentile. Panel f: Same as for Panel e but for V300. The stippling represents significant grid points at α = 0.05 and is calculated applying a Student-t-test. The smoothing of the curve is done using a Gaussian kernel to produce continuous density estimates.
