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Results:

• 11. Dyrrdal_Anita_CES_2010

  • Analyse future snow scenarios Introduction Data & Methods Results 0 50 100 150 200 250 300 350 400 450 0-100 100- 200 200- 300 300- 400 400- 500 500- 600 600- 700 700- 800 800- 900 900- 1000 1000- 1100 1100- 1200 1200- 1300 1300- 1400 1400- 1500 1500- 1600 1600- 1700 1700- 1800 1800- 1900 1900- 2000 2000- 2100 2100- 2200 Høyde (m o.h.) A n t a l l v æ r s t a s j o n e r Elevation of met.no /media/ces/Dyrrdal_Anita_CES_2010.pdf

• 12. Observations - Reykjavik area - Overview stations

  | Seltjarnarnes - Suðurnes | Skrauthólar | Straumsvík Mon 1.05 14 GMT Arnarnesvegur 5.9° E 5 Max wind : 5 / 8 Garðabær - Urriðaholt 7.5° ENE 2 Max wind : 4 / 7Precip.: 0.0 mm / 1 h Geldinganes 8.3° E 5 Max wind : 5 / 8 Hólmsheiði 6.9° E 6 Max wind : 6 / 10Precip.: 0.0 mm / 1 h Kjalarnes 6.2° WSW 2 Max wind : 4 / 7Road temp. : 16.7° Korpa 7.7° E 5 Max /m/observations/areas

• 13. 2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343

  ORIGINAL ARTICLE The role of uncertainty in climate change adaptation strategies—A Danish water management example J. C. Refsgaard & K. Arnbjerg-Nielsen & M. Drews & K. Halsnæs & E. Jeppesen & H. Madsen & A. Markandya & J. E. Olesen & J. R. Porter & J. H. Christensen Received: 10 November 2011 /Accepted: 4 February 2012 # The Author(s) 2012. This article is published with open access /media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf

• 14. esa_flyer_new

  EA Analyse A/S and Optensys Energianalys will forecast energy system variables, while SINTEF Energy Research will make assumptions for the energy system in different cases, include new inputs in the EMPS model and carry out simulations. Cl i ma t e Sc e nar i os G ro u p R i s ø St o c h as t i c v a r i a b l e s Clima t e s c e n a r i o NV E S M H I FE I N o r w a y S w e d e n F inla n /media/ces/esa_flyer_new.pdf

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

  Grin’s work on this article was part of the programme of the Dutch Knowledge network on System Innovations (KSI). P. Huntjens (&)  C. Pahl-Wostl Institute for Environmental Systems Research, University of Osnabruck, Barbarastraße 12, Geb. 66, 49069 Osnabruck, Germany e-mail: patrickhuntjens@yahoo.com J. Grin Amsterdam School for Social Science Research, University of Amsterdam, Amsterdam /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf

• 16. Alam_Ashraful_CES_2010

  FOREST BIOMASS FOR ENERGY PRODUCTION – POTENTIALS, MANAGEMENT AND RISKS UNDER CLIMATE CHANGE Ashraful Alam, Antti Kilpeläinen, Seppo Kellomäki School of Forest Sciences, University of Eastern Finland, Joensuu F t Cli t d R bl E I t Ri k d Ad t tiu ure Cl ma e an enewa e nergy – mpac s, s s an ap a on Oslo, Norway 2 June, 2010 Contents • Forestry in Finland • Challenges • Objectives /media/ces/Alam_Ashraful_CES_2010.pdf

• 17. Group-1_Scenarios-for-AWM

  example can be given by the low cost still flood risk adaptation by implementing early warning system. But there is one more suggestion dfor stakeholders to restrict infrastructure in the cities of Horsens. Fiva PhD Courses : Adaptive management in relation to climate change (august 22 2011 - august 26 2011) 2 / 3 R es e a r c h Flood f r equenc y a n d i n t ensi t y c o m m un i c a t /media/loftslag/Group-1_Scenarios-for-AWM.pdf

• 18. Perrels-CBA

  operational cost, etc.) and the annual revenues • consider an appropriate discount rate and assess NPV (net present value), IRR (internal rate of return), and net cash flows • rank alternatives by score level • SCBA: social CBA – total benefits -/- total costs for society, in this case benefits and costs often don’t accrue (entirely) to the same organisation due to the public nature of a project /media/loftslag/Perrels-CBA.pdf