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Results:

• 21. Kok_et_al._TFSC_published_2011

  ]. There is ample experience with backcasting, and consequently much has been said about the underlying principles (e.g. [20]), the methodological 838 K. Kok et al. / Technological Forecasting & Social Change 78 (2011) 835–851 Author's personal copy framework (e.g. [8,30–32]), and practical applications (e.g. [33–35]). Also the combination between backcasting and other types of scenarios has been /media/loftslag/Kok_et_al._TFSC_published_2011.pdf

• 22. Perrels-CBA

  / design, availability, materials, ICT, modal split) 26.8.2011Adriaan Perrels/IL 5 Categorising stages of adaptation Passive Adaptation - automatic in nature and economy - only ex post measures (no anticipation) Active Adaptation - automatic in nature and economy - ex ante and ex post policies Emission scenario dependent baseline (A1-T, B1, A2, etc.) Reference costs and benefits /media/loftslag/Perrels-CBA.pdf

• 23. Linnet_Ulfar_CES_2010

  HYDROPOWER IN ICELAND Impacts and adaption in future climate Authors Óli Grétar Blöndal Sveinsson (Phd) Úlfar Linnet (MSc) Elías B. Elíasson (MSc) Landsvirkjuns system •Installed power 1850 MW • 96 % Hydroelectricity • 4% Geothermal •Production capacity 13 TWh/a •Customer base • 86 % Large industries • 14 % Small businesses / Household •No connection to other countries •Reliability a major /media/ces/Linnet_Ulfar_CES_2010.pdf

• 24. ECONOMIC_EFFECTS_OF_CLIMATE_CHANGE_ON_THE_TOURISM_SECTOR_IN_SPAIN

  ECONOMIC EFFECTS OF CLIMATE CHANGE ON THE TOURISM SECTOR IN SPAIN By Ana Gargallo-Castel Department of Business Administration University of Zaragoza, C/ Ciudad Escolar, s/n 44003 TERUEL, SPAIN Phone: 00 34 978 61 81 01. Fax 00 34 978 61 81 03 Email: gargallo@unizar.es Luisa Esteban-Salvador Department of Finance and Accounting University of Zaragoza, C/ Ciudad Escolar, s/n /media/loftslag/ECONOMIC_EFFECTS_OF_CLIMATE_CHANGE_ON_THE_TOURISM_SECTOR_IN_SPAIN.pdf

• 25. Adaptive management in relation to climate change

  Adaptation to future changing climate poses enormous challenges for societies, both for designing and implementing technical infrastructure modifications and for changing societal priorities as well as people’s attitude to risk, ethics and basic values. Decision making in relation to climate change is complex in several respects. First of all, assessment of climate change effects involves large /nonam/phd-summerschool/

• 26. Water_resources_man_Veijalainen_etal

  range 90% 93.15–93.29 93.27–93.36 75.43–75.56 94.59–94.71 2040–2069 range 90% 93.09–93.31 93.28–93.40 75.41–75.56 94.72–94.83 2070–2099 range 90% 93.02–93.32 93.24–93.43 75.38–75.61 94.79–94.91 Lowest water level (in the 30 year period) (m) Reference period 92.86 92.72 75.20 94.27 2010–2039 range 90% 92.62–92.91 92.96–93.13 75.24–75.33 94.47–94.59 2040–2069 range 90% 92.55–92.82 92.88–93.12 75.19 /media/ces/Water_resources_man_Veijalainen_etal.pdf

• 27. ces-oslo2010_proceedings

  change over the North Atlantic and in some simulations also for Iceland. In all areas, including the North Atlantic and Iceland, a clear climate change signal compared to the spread between the simulations is seen. The standard deviation calculated from 17 of the simulations are less than 1°C in all areas apart from Iceland where it reaches between 1 and 2°C and in parts of the Barents Sea where /media/ces/ces-oslo2010_proceedings.pdf

• 28. ces_risk_flyer

  associated with climate change is 1) Review of risk and uncertainty management  approaches used in the energy sector; and 2) Integration of risk and uncertainty in decision  support tools. A risk management framework, developed by VTT of Finland, according to the emphasis of the industrial partners, has since been tested and applied in various energy sectors (e g hydro CHP bio wind etc ) , decision /media/ces/ces_risk_flyer.pdf

• 29. Alam_Ashraful_CES_2010

  biomass at EBT and FF in Finland Management regimes Current c mate C mate c ange EBT FF Total EBT FF Total TWh yr-1 % TWh yr-1 % M0 (0%) 8.7 40.4 49.1 -- 17.8 67.5 85.4 -- M1 (+15%) 8.7 43.9 52.6 7 18.1 72.8 90.9 7 M2 (+30%) 8.4 46.4 54.8 12 18.4 76.4 94.8 11 M3 (+45%) 8.1 48.7 56.8 16 19.0 80.3 99.3 16 a l a r e a ( m 2 h a - 1 ) Basal area just before thinning Remaining basal area threshold /media/ces/Alam_Ashraful_CES_2010.pdf

• 30. VI_2022_006_extreme

  77 91 109 Hraunaveita 132 116 136 159 117 140 169 Kvíslaveita 48 42 49 58 42 51 61 Sultartangi 66 57 68 80 58 69 84 Þingvallavatn 96 84 99 117 85 102 123 Þórisvatn 47 41 49 57 42 50 60 Tungnaá 76 67 79 92 67 80 98 Ufsarlón 104 92 108 126 93 112 134 36 Figure 19 – 1M5 maps for catchment Hálslón based on the ICRA dataset without projection (top left), with RCP 2.6 and 10th percentile /media/vedurstofan-utgafa-2022/VI_2022_006_extreme.pdf