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Results:

• 41. The weather in Iceland in 2021

  89 54.1 210 129 Sauðanesviti 944.7 107 101 41.8 222 127 Akureyri 636.4 111 98 29.5 172 103 Grímsstaðir 400.4 103 89 14.3 189 97 Skjaldþingsstaðir 1112.4 # 84 61.2 184 115 Dalatangi 1437.2 87 81 47.6 232 145 Höfn í Hornafirði 1327 # 83 /about-imo/news/the-weather-in-iceland-in-2021

• 42. BIGJ_windrose_2005-2014

  1 2 1 1 Wind rose BIGJ April 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: 114 Calm: 0.88% Variable winds: 0% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 5 10 15 0 45 90 135 180 225 270 315 /media/vedur/BIGJ_windrose_2005-2014.pdf

• 43. NOMEK09_Report

  Hermannsdóttir (Media) Sveinn Brynjólfsson (Avalanche) Theodor Freyr Hervarsson (Aviation) Guðrún Nína Petersen (Forecast errors) SMHI: Andreas Carlsson (Dynamics/NWP) Anna Eronn (Satellite) met.no: Bjørn Røsting (Dynamics) FMI: Vesa Nietosvaara (Online sessions and website) Elena Saltikoff (Radar-distans teaching) DMI: Claus Petersen (Slippery Roads) EUMETSAT: Jochen Kerkmann (Satellite /media/vedurstofan/utgafa/skyrslur/2009/NOMEK09_Report.pdf

• 44. VI_arsskyrsla2020

  of the infrastructure had taken advantage of rapid technological development without assessing the risk to the security aspects of that same infrastructure. The government has called for concrete actions, mainly for the elec- tric grid, but also for communication and connectivity, transport infrastructure and measures regarding avalanche hazards. The Icelandic Met O?ce (IMO) has actively participated in this gap /media/vedurstofan-utgafa-2020/VI_arsskyrsla2020.pdf

• 45. Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication

  RM, Capraro MM (2002) Myers-Briggs Type Indicator score reliability across studies: a meta-analytic reliability generalization study. Educ Psychol Meas 62:590–602 Carlson JG (1985) Recent assessments of the Myers-Briggs Type Indicator. J Personal Assess 49:356–365 Carlyn M (1977) An assessment of the Myers-Briggs Type Indicator. J Personal Assess 41:461–473 Clack GB, Allen J, Cooper D et al (2004 /media/loftslag/Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication.pdf

• 46. BIBD_windrose_2005-2014

  W N (Number of observations for wind direction) Icelandic Met Office 02. júl. 2015 36 2 69 4 138 2 187 3 151 2 106 7 83 1 58 1 36 0 20 3 17 6 14 5 14 9 11 0 10 6 13 0 16 7 29 8 55 2 73 0 95 6 140 7 98 9 41 9 20 2 17 7 8 1 6 4 4 8 3 7 5 7 4 4 4 5 7 3 9 2 18 5 Wind rose BIBD January 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 /media/vedur/BIBD_windrose_2005-2014.pdf

• 47. BIIS_windrose_2005-2014

  (Number of observations for wind direction) Icelandic Met Office 02. júl. 2015 28 6 85 3 223 1 339 5 367 0 315 2 161 9 89 4 34 6 11 7 18 7 9 7 7 7 15 9 8 7 7 2 14 9 7 4 22 6 36 9 69 6 148 3 183 1 148 5 96 9 45 1 21 1 9 3 7 8 2 0 1 7 2 4 1 2 1 6 7 3 11 6 Wind rose BIIS January 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 /media/vedur/BIIS_windrose_2005-2014.pdf

• 48. 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

• 49. 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

• 50. 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