1. Anthropogener Klimawandel: Projektionen
Ein Überblick
Matthias Lüdeke, PIK, RDII

2. Klimawandel
Prognosen und Szenarien

3. Attributierung

4. SRES, IPCC

5. SRES, IPCC

6. SRES, IPCC

7. Construction of Climate Scenarios (SRES/IPCC)
Global development Scenarios, Quantification of story-lines
Asian Pacific Integrated Model (AIM)
from the National Institute of Environmental Studies in Japan (Morita et al., 1994);
Atmospheric Stabilization Framework Model (ASF)
from ICF Consulting in the USA (Lashof and Tirpak, 1990; Pepper et al., 1992, 1998;
Sankovski et al., 2000);
Integrated Model to Assess the Greenhouse Effect (IMAGE)
from the National Institute for Public Health and Environmental Hygiene (RIVM)
(Alcamo et al., 1998; de Vries et al., 1994, 1999, 2000), used in connection with
the Dutch Bureau for Economic Policy Analysis (CPB) WorldScan model
(de Jong and Zalm, 1991), the Netherlands;
Multiregional Approach for Resource and Industry Allocation (MARIA)
from the Science University of Tokyo in Japan (Mori and Takahashi, 1999; Mori, 2000);
Model for Energy Supply Strategy Alternatives and their General Environmental
Impact (MESSAGE)
from the International Institute of Applied Systems Analysis (IIASA) in Austria
(Messner and Strubegger, 1995; Riahi and Roehrl, 2000)
Mini Climate Assessment Model (MiniCAM) from the Pacific Northwest National
Laboratory (PNNL) in the USA (Edmonds et al., 1994, 1996a, 1996b).
MKBL 08

8. SRES, IPCC

9. SRES, IPCC

10. Construction of Climate Scenarios (SRES/IPCC)
Global development Scenarios, Quantification of story-lines
MKBL 08

11. Construction of Climate Scenarios (SRES/IPCC)
Global development Scenarios, Quantification of story-lines
MKBL 08

12. SRES, IPCC

13. SRES, IPCC

14. 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}

15. 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}

16. 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}

17. 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}

18. 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.

19. 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.

20. Time series of global mean sea level (deviation from the
mean) in the past and as projected for the future. For the period before
1870, global measurements of sea level are not available. The grey shading shows
the uncertainty in the estimated long-term rate of sea level change (Section 6.4.3).
The red line is a reconstruction of global mean sea level from tide gauges (Section
), and the red shading denotes the range of variations from a smooth curve.
The green line shows global mean sea level observed from satellite altimetry. The
blue shading represents the range of model projections for the SRES A1B scenario
for the 21st century, relative to the 1980 to 1999 mean, and has been calculated
independently from the observations. Beyond 2100, the projections are increasingly
dependent on the emissions scenario (see Chapter 10 for a discussion of sea level
rise projections for other scenarios considered in this report). Over many centuries or
millennia, sea level could rise by several metres (Section ).