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Results:

• 41. Climate and Modeling Scenarios

  & Ruosteenoja, K. (2009). Comparing regional risks in producing turnip rape and oilseed rape - Impacts of climate change and breeding. Acta agriculturae Scandinavica 59B:2, 129-138. doi:10.1080/09064710802022895 (http://www.ingentaconnect.com/content/tandf/sagb/2009/00000059/00000002/art00004). Pryor, S.C., Barthelmie, R.J., Clausen, N.E., Drews, M., MacKellar, N. & Kjellström, E. (2010). Analyses /ces/publications/nr/1680

• 42. Kok_2-scenarios-lecture-2

  extreem events C6; qual nat. systems C7; policies C8; price of resources C9; other sectors C10; industry C11; inrastructure Crimea - Ukraine Manaus - Brazil From FCM to model input FCM – strong points • Easy to develop and apply. The approach is highly intuitive, it can quickly be explained and applied to any new situation. • High level of integration. A FCM can contain any type of information /media/loftslag/Kok_2-scenarios-lecture-2.pdf

• 43. 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

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

  can be found in Huntjens et al. (2007), Chapter 4 of NeWater Deliverable 1.7.9a (http://www.newater.info). Climate change adaptation in European river basins 265 123 interactions, by private and public actors, to achieve adaptation and to enhance the capacity of processes, institutional arrangements and actors to adapt to future environmental changes (Huitema et al. 2009). Adaptive governance /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf

• 45. BIAR_windrose_2005-2014

  1 8 1 7 1 9 4 1 7 5 21 5 27 2 32 5 48 9 68 4 82 1 Wind rose BIAR September 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 1 2 3 4 5 6 7 8 Frequency of wind direction (%) Aerodrome Total observations: 7233 Calm: 3.5% Variable winds: 8.7% Average wind speed for wind direction Wind direction (°) Wind /media/vedur/BIAR_windrose_2005-2014.pdf

• 46. BIEG_windrose_2005-2014

  Wind rose BIEG 2005 − 2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 2 4 6 8 10 Frequency of wind direction (%) Aerodrome Total observations: 87865 Calm: 12% Variable winds: 3.4% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 2 4 6 8 10 0 45 90 135 180 225 270 315 360 N E S W /media/vedur/BIEG_windrose_2005-2014.pdf

• 47. VI_2019_009

  26 36 40 41 46 50 51 52 53 54 58 60 61 62 63 64 65 68 70 71 72 73 74 80 81 83 84 85 86 87 92 Present weather (Manual) Present weather ( Automatic ) Number of records a71 a71 a71 250 500 750 250 500 750 Number of records Figure 15. Automatic station as a function of manual station. a71 a71a71a71a71a71 a71a71 a71a71a71 a71a71 a71 a71 a71a71 a71 a71 a71 a71 a71 a71 a71 a71 a71 a71 a71 a71 a71a71a71 /media/vedurstofan-utgafa-2019/VI_2019_009.pdf

• 48. Kok_JGEC658_2009

  and that paving major roads will lead to deforestation. C3: Conservation units. A large percentage of the Amazon (close to 33%) is classified as some kind of protected area. This includes indigenous reserves, federal parks and national parks. Only about 5% is strictly protected, although it is argued that ‘paper parks’ can also be effective. C4: Forest accessibility. The amount of forest /media/loftslag/Kok_JGEC658_2009.pdf

• 49. VI_2009_012

  Mw(v) plotted against log distance. The coefficient of correlation between Mw(v) and log distance is 0.24. High correlation coefficients have been shown to affect parameter estimates in one step regression methods (see Fukushima and Tanaka, 1990). The Ci values were also calculated from the derived PGA values. Instead of constructing another magnitude scale based on acceleration it was decided /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_012.pdf

• 50. 2010_003rs

  ................ 91 Figure B.5. Rake distribution for mapped faults/clusters in boxes E and F, Brennisteinsfjöll-Bláfjöll. ................................................................................. 92 Figure B.6. Rake distribution for mapped faults/clusters in box G, Ölfus. ......................... 93 Figure B.7. Rake distribution for mapped faults/clusters in box H, Hengill, active between January /media/vedurstofan/utgafa/skyrslur/2010/2010_003rs.pdf