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Results:

• 41. Lettenmaier_Dennis_CES_2010pdf

  Withdrawal Reliability Grand Coulee Recreation Reliability R e l i a b i l i t y ( % , m o n t h l y b a s e d ) Control Period 1 Period 2 Period 3 RCM 2040-2069 60 80 100 120 140 Firm Hydropower Annual Flow Deficit at McNary P e r c e n t o f C o n t r o l R u n C l i m a t e PCM Control Climate and Current Operations PCM Projected Climate and Current Operations PCM Projected /media/ces/Lettenmaier_Dennis_CES_2010pdf.pdf

• 42. VI_2015_009

  vhm145 Vestari-Jökulsá D+J+L 844 751 11.3 924 1971–2014 vhm167 Austari-Jökulsá D+J 553 916 28.8 1208 1985–2014 8 vhm59 vhm64 vhm66 vhm102 vhm116 vhm162 vhm233 vhm235 vhm238 vhm144 vhm145 vhm167 Figure 1. Location of river basins. 9 l l l l l l l l l l l l l l l l l l ll l l l l l l l l l l l l l ll l l l l l 0 100 200 300 50 15 0 25 0 35 0 Days since Sept. 1st Q (m ³/s ) vhm59 S O N D J F M A M J /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf

• 43. Tornado_Impacts_-_FMI_Presentation

  fatalities occurred in mobile homes, although only 7.6% of U.S. housing units in 2000. • A one standard deviation in the proportion of mobile homes in housing stock (8.3 percentage points) increases fatalities by 36% and injuries by 18%. The Mobile Home Problem 50 60 70 80 90 P e r c e n t a g e o f C a t e g o r y F a t a l i t i e s Mobile Homes 0 10 20 30 40 F0 F1 F2 F3 F4 F5 F /media/loftslag/Tornado_Impacts_-_FMI_Presentation.pdf

• 44. 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

• 45. Lorenzoni_Pidgeon_2006

  level, surveys commissioned by the European Com- munity/the European Union provide an indication of trends in concern about cli- mate change. Since 1992, such surveys have been undertaken among representative samples of citizens in its Member States, and specifically on topics related to the environment (Special Eurobarometers (EB) in 1992, 1995, 2002; and a Flash EB in 2002). These have included /media/loftslag/Lorenzoni_Pidgeon_2006.pdf

• 46. vanRoosmalen_etal-2009-WRR_2007WR006760

  Impact of climate and land use change on the hydrology of a large-scale agricultural catchment Lieke van Roosmalen,1 Torben O. Sonnenborg,2 and Karsten H. Jensen1 Received 5 December 2007; revised 21 November 2008; accepted 19 January 2009; published 18 March 2009. [1] This paper presents a quantitative comparison of plausible climate and land use change impacts on the hydrology of a large-scale /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf

• 47. Kok_1-scenarios-lecture-1

  :15-11:30 Practical examples + conclusions • Exploratory scenario development – SAS approach • Group model building - Fuzzy Cognitive Maps • Normative scenario development - Backcasting Conclusions LECTURE 1 Scenario development Underlying issues and concepts Content Lecture 1: an introduction • Complex problems • Complex System analysis • Tools and methods to analyse complex systems o Methods /media/loftslag/Kok_1-scenarios-lecture-1.pdf

• 48. Group3-Road-scenarios

   Climate data o Increase in precipitation o Change in road deterioration o Frequency of high and low temperatures o Heavy rainfall o Increase in average temperature Technical state of the roads – state of the Finnish road network: data available from Road administration Data on past events about climate related damage on roads Technical development of e.g. asphalt – more durable /media/loftslag/Group3-Road-scenarios.pdf

• 49. 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

• 50. TietavainenHanna_CES_2010

  the observed data sets are smaller in SW than in NE • MMM overestimates precipitation, but is closer to observations in SW than NE barb2right Better observational coverage in SW SW NE p r e c i p i t a t i o n s u m ( m m ) CES Conference, Oslo 31.5.-2.6.2010 SWNE • Precipitation trends (mm / 10 yr) in 1961-2000 according to observations and model simulations (MMM) • Including the range /media/ces/TietavainenHanna_CES_2010.pdf