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Results:

• 11. Kjellstrom_Erik_CES_2010

  to c. 10% increase Uncertainty related to choice of GCM • Changing seasonality (2021-2050 vs 1961-1990) in Sweden T2m Precipitation Wind speed Colored lines represent averages over RCMs forced by the same GCM Gray field is max/min of all RCM simulations An example of CC in the next few decades 2011-2040 vs 1961-1990 Why are differences between ensemble members so large? Winter (DJF) M S L P T 2 /media/ces/Kjellstrom_Erik_CES_2010.pdf

• 12. CES_D2.4_solar_CMIP3

  -2049. Projections are based on simulations performed with 18 global climate models under the SRES A1B, A2 and B1 greenhouse gas scenar- ios. To facilitate reading the report, only the most essential diagrams and maps are included in the main text, additional material being positioned in the appendix. 1 MODELLED SOLAR RADIATION DATA The quantity examined is incident solar radiation (also termed /media/ces/CES_D2.4_solar_CMIP3.pdf

• 13. VI_2020_008

  Figure 8. Stations ranked according to their average CC for the 20 highest rainfall daily events. ................................................................................................................................................... 33 Figure 9. Ranked values of the 50 highest 24-hour accumulated precipitation events plotted against ranked values of the 50 highest daily precipitation /media/vedurstofan-utgafa-2020/VI_2020_008.pdf

• 14. Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change

  et al .( 200 4) 21 .Explici tconsideratio n o funcertaint y (relate dt o CC impacts ) Uncertaintie s ar e no t glosse d ove r bu tcommunicate d (in fina lreports ,orally ) Diet z et al .( 200 3), Brugnac h et al .( 200 8) Researcher s ar e willin g to tal k wit h stakeholder s abou tuncertaintie s Diet z et al .( 200 3), Brugnac h et al .( 200 8) 22 .Broa d communicatio n (on CC impacts /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf

• 15. Keranen_Jaana_CES_2010

  erations which will be done to protect against th e phenome na a nd its conse quenc es The consequenc es of the phenom ena to the distribution network T he con seque nc es of the phe nom ena to the pow er plant The conse quence s of the phe nomena to e nerg y sourc e and its usability Probability according to IP CC 2007 Phe nom ena acco rding to regional scena rio /media/ces/Keranen_Jaana_CES_2010.pdf

• 16. Perrels-CBA

  enhanced weather effects on road infrastructure • traffic safety • road maintenance • traffic capacity • Assessing flood risks in cities • TOLERATE: From climate modeling to appraisal of counter measures • IRTORISKI: Extended event-tree analysis Next pages (EWENT) 26.8.2011Adriaan Perrels/IL 26 Road capacity effects of weather & CC Changes in the supply curve caused by extreme weather conditions /media/loftslag/Perrels-CBA.pdf

• 17. Refsgaard_etal-2007-Uncertainty-EMS

  provide tables and figures incor- porating numerical data often generated by sophisticated models. Finally, scenarios can be surprise-free or trend scenar- ios, that extend foreseen developments, on the one hand or in- clude surprises and exploring the extremes (e.g. best case/ worst case) on the other hand. Scenarios can ensure that assumptions about future devel- opments are made transparent /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf

• 18. IPPC-2007-ar4_syr

  /media/loftslag/IPPC-2007-ar4_syr.pdf

• 19. NONAM_1st_workshop_summary_v3

  -out group, assuming the initiative is at the public side. Red: inside transport system; blue: direct impact on size & quality of demand for road vehicle movements; grey: auxiliary services that strongly interact with effects of CC. Various possible effects of climate change on road infrastructure and its users The expected effects of a changing climate in Nordic countries imply among others /media/vedurstofan/NONAM_1st_workshop_summary_v3.pdf

• 20. VI_2020_005

  /media/vedurstofan-utgafa-2020/VI_2020_005.pdf