1. Observed climatological annual mean SST and, over land, surface
air temperature (labelled contours) and the multi-model mean error in these
temperatures, simulated minus observed (colour-shaded contours).
Observed climatological annual mean SST and, over land, surface
air temperature (labelled contours) and the multi-model mean error in these
temperatures, simulated minus observed (colour-shaded contours).

2. Annual mean precipitation (cm), observed (a) and simulated (b), based on the multimodel mean. The Climate Prediction Center Merged Analysis of Precipitation (CMAP; Xie and Arkin, 1997) observation-based climatology for 1980 to 1999 is shown, and the model results are for
the same period in the 20th-century simulations in the MMD at PCMDI. In (a), observations were not available for the grey regions.
Annual mean precipitation (cm), observed (a) and simulated (b), based on the multimodel
mean. The Climate Prediction Center Merged Analysis of Precipitation (CMAP; Xie and Arkin,
1997) observation-based climatology for 1980 to 1999 is shown, and the model results are for
the same period in the 20th-century simulations in the MMD at PCMDI. In (a), observations were
not available for the grey regions. Results for individual models can be seen in Supplementary
Material, Figure S8.9.

3. Estimate of the Earth’s annual and global mean energy balance
Estimate of the Earth’s annual and global mean energy balance. Over the long term, the amount of incoming solar radiation absorbed by the Earth and atmosphere is balanced by the Earth and atmosphere releasing the same amount of outgoing longwave radiation. About half of the incoming solar radiation is absorbed by the Earth’s surface. This energy is transferred to the atmosphere by warming the air in contact with the surface (thermals), by evapotranspiration and by longwave radiation that is absorbed by clouds and greenhouse gases. The atmosphere in turn radiates longwave energy back to Earth as well as out to space. Source: Kiehl and Trenberth (1997).
Kiehl, J., and K. Trenberth, 1997: Earth’s annual global mean energy budget. Bull. Am. Meteorol. Soc., 78, 197–206.

4. Szenarien der THG-Emissionen/des Strahungsantreibs
Projected radiative forcing (W ^m-2) over the 21st century from the SRES and RCP scenarios. Draft Figure 1-4 from IPCC AR5 WGII, Chapter 1. - See more at:

5. Solid lines are multi-model global averages of surface warming (relative to ) for the scenarios
A2, A1B and B1, shown as continuations of the 20th century simulations. Shading denotes the plus/minus one standard
deviation range of individual model annual averages. The orange line is for the experiment where concentrations were
held constant at year 2000 values. The gray bars at right indicate the best estimate (solid line within each bar) and the
likely range assessed for the six SRES marker scenarios. The assessment of the best estimate and likely ranges in the gray
bars includes the AOGCMs in the left part of the figure, as well as results from a hierarchy of independent models and
observational constraints. {Figures 10.4 and 10.29}

6. Projected surface temperature changes for the early and late 21st century relative to the period 1980–
1999. The central and right panels show the Atmosphere-Ocean General Circulation multi-Model average projections for
the B1 (top), A1B (middle) and A2 (bottom) SRES scenarios averaged over decades 2020–2029 (center) and 2090–2099
(right). The left panel shows corresponding uncertainties as the relative probabilities of estimated global average warming
from several different AOGCM and EMICs studies for the same periods. Some studies present results only for a subset of
the SRES scenarios, or for various model versions. Therefore the difference in the number of curves, shown in the lefthand
panels, is due only to differences in the availability of results. {Figures 10.8 and 10.28}

7. Niederschlag DJF unter A1B
Relative changes in precipitation (in percent) for the period 2090–2099, relative to 1980–1999. Values are multi-model
averages based on the SRES A1B scenario for December to February (left) and June to August (right). White areas are where less than
66% of the models agree in the sign of the change and stippled areas are where more than 90% of the models agree in the sign of the
change. {Figure 10.9}
Relative changes in precipitation (in percent) for the period 2090–2099, relative to 1980–1999. Values are multi-model
averages based on the SRES A1B scenario for December to February. White areas are where less than 66% of the models agree in the sign of the change and stippled areas are where more than 90% of the models agree in the sign of the change

8. Niederschlag JJA unter A1B
Relative changes in precipitation (in percent) for the period 2090–2099, relative to 1980–1999. Values are multi-model
averages based on the SRES A1B scenario for December to February (left) and June to August (right). White areas are where less than
66% of the models agree in the sign of the change and stippled areas are where more than 90% of the models agree in the sign of the
change. {Figure 10.9}

9. Changes in extremes based on multi-model simulations from nine global coupled climate models, adapted from Tebaldi et al. (2006). (a) Globally averaged
changes in precipitation intensity (defined as the annual total precipitation divided by the number of wet days) for a low (SRES B1), middle (SRES A1B) and high (SRES A2)
scenario. (b) Changes in spatial patterns of simulated precipitation intensity between two 20-year means (2080–2099 minus 1980–1999) for the A1B scenario.

10. Changes in extremes based on multi-model simulations from nine global coupled climate models, adapted from Tebaldi et al. (2006). (a) Globally averaged
changes in precipitation intensity (defined as the annual total precipitation divided by the number of wet days) for a low (SRES B1), middle (SRES A1B) and high (SRES A2)
scenario. (b) Changes in spatial patterns of simulated precipitation intensity between two 20-year means (2080–2099 minus 1980–1999) for the A1B scenario.
Changes in spatial patterns of simulated precipitation intensity between two 20-year means (2080–2099 minus 1980–1999) for the A1B scenario

11. Auswertung der CORDEX EUROPE – hier:Berlin
Ferne Zukunft
≈2085 ( )
Nahe Zukunft
≈2045 ( )
Zeitreihen der
Regionalen Klimamodelle

12. Interpretationsweisen der Häufigkeitsverteilung:
Ferne Zukunft
≈2085 ( )
„Hasardeur“
„Modell-
Demokrat“
„Apokalyptiker“
„Risiko-
Vermeider“
„Spieler“