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Results:

• 11. Outline_for_the_case_Road_maintenance_in_a_changing_climate

  course – Adaptive management in relation to climate change – Copenhagen 21-26/8/2011 …………………………………………………………………………………………………………………………………………………………………… 6 Figure 1. Flow chart summarizing information and decision flows of an adaptive management inspired adaptation planning cycle for road transport (at national strategic / tactical level) M a n d a t e f r o m g o v e r n m e n t + p r /media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf

• 12. Journal_of_Hydrology_Veijalainen_etal

  in Finland Noora Veijalainen a,*, Eliisa Lotsari b, Petteri Alho b, Bertel Vehviläinen a, Jukka Käyhkö b a Freshwater Centre, Finnish Environment Institute, Mechelininkatu 34a, P.O. Box 140, FI-00251, Helsinki, Finland b Department of Geography, FI-20014 University of Turku, Turku, Finland a r t i c l e i n f o Article history: Received 7 January 2010 Received in revised form 13 June 2010 Accepted /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf

• 13. vanRoosmalen_etal-2009-WRR_2007WR006760

  in the representation of the surface. [37] The calibration period for the model was 1991– 1995, while the validation period was 1996–1999. The performance of the model was tested against observations of stream discharge and groundwater heads using the root mean squared error RMS for groundwater head and the RMS and the Nash-Sutcliffe efficiency coefficient E for stream discharge. E is given by [Nash /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf

• 14. 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

• 15. 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

• 16. 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

• 17. 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

• 18. 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