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Results:

• 11. VanderKeur_etal-2008-Uncertainty_IWRM-WARM

  requires an appropriate monitoring system and the use of integrated or more simple models for the prediction of future scenarios including effects of implemented measures. Such integrated models should also include socio-economic aspects. In the Netherlands for the Major sources of uncertainty in current IWRM practice Tabl e 1 St ep 1: Es ta bl ish st at us an d go al s Pr oces s in Ste p 1 Es tablis /media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf

• 12. Group5-Stakeholders_involvement

  /EPP 2 Stakeholders analysis 26 August 2011 PM/YZ/EPP 3 Stake h o l d e r s P u b l i c / p r i v at e P o w e r l e v e l (“ n u i s an ce” ca p a c i t y ) O r i e n tat i o n H or s t e n s m uni c ipal i t y ( c o m pe t e n t a u t h ori t y ) P u b l i c S t ron g Go v ernanc e N eighbour mun i c i p ali t y P u b l i c S t ron g Go v ernanc e Poli c y /media/loftslag/Group5-Stakeholders_involvement.pdf

• 13. VI_2015_007

  and validation periods ....................................................................... 35 Appendix III - Instantaneous index flood µi(D = 0), flood frequency distribution and growth curves, derived by QDF modelling of WaSiM daily flow simulations ... 41 Appendix IV - Estimated flood frequency distributions at target sites treated as ungauged, using the best IFM for each set /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_007.pdf

• 14. 2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343

  measures Downscaling and statistical correction Water system impacts Hydro-ecological models Socio-economic scenarios Socio-economic impacts Fig. 2 Structural elements in the assessment of climate change impacts and adaptation illustrating the uncertainty cascade Mitig Adapt Strateg Glob Change Tabl e 1 Ch aracterisatio n o fke y sou rce s o fun certaint y in th eun certaint y casc ad ean d thei rnatur /media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf

• 15. 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

• 16. Kjellstrom_Erik_CES_2010

  ANN−10 −5 0 5 10 15 20 delta w (% ) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17C h a n g e i n g e o s t r o p h i c w i n d s p e e d ( % ) Change in wind over the Baltic Sea in 70 years time at the time of CO2-doubling Chen and Aschberger, 2006 17 CM IP G CM s A need for regional ensemble simulations head2right Changes are uncertain head2right Size and sometimes even sign /media/ces/Kjellstrom_Erik_CES_2010.pdf

• 17. vanRoosmalen_etal-2009-WRR_2007WR006760

  with 20% and 2% for the HIRHAM experiments using HadAM3H and with 30% and 7% for the ECHAM- driven experiments for Middle Europe and Scandinavia, respectively. [18] RCM output is not available for the entire period 1961–2100 because transient RCM simulations are com- putationally very demanding. Instead two 30-year time slices are available; one representative for the climate in the period 1961–1990 /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf

• 18. Statistical Analysis

  by parametric methods. Hydrology Research 39, 425-436. Jónsdóttir, J. F., Uvo, C. B. (2009). Long-term variability in precipitation and streamflow in Iceland and relations to atmospheric circulation. Int. J. Climatol. 29, 425-436. doi: 10.2166/nh.2008.002. Lawrence, D., Haddeland, I. Uncertainty in hydrological modelling of climate change impacts in four Norwegian catchments. Hydrology Research /ces/publications/nr/1943

• 19. 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

• 20. Journal_of_Hydrology_Veijalainen_etal

  ; fax: +358 20 490 2590. E-mail address: Noora.Veijalainen@ymparisto.fi (N. Veijalainen). Journal of Hydrology 391 (2010) 333–350 Contents lists available at ScienceDirect Journal of Hydrology journal homepage: www.elsevier .com/ locate / jhydrol Author's personal copy narios from GCMs or RCMs, and with different emission scenarios (e.g. Menzel et al., 2006; Minville et al., 2008; Prudhomme and Da /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf