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Results:

• 1. Traffc-maintenance_expenditures

  Manage- Basic Purchase Road Road net- Const- Acquisi- Govern- Com- Participati- Value Miscel- Total 2009 ment and road of equip- system work post- ruction tion of ment missi- on of the added laneous cost operating manage- ment develop- poned-, of land grants ons European tax over- level costs ment ment comprehen- build- and com- Regional De- heads 1991- 1991- sive- and ings pensation /media/loftslag/Traffc-maintenance_expenditures.pdf

• 2. Perrels-CBA

  operational cost, etc.) and the annual revenues • consider an appropriate discount rate and assess NPV (net present value), IRR (internal rate of return), and net cash flows • rank alternatives by score level • SCBA: social CBA – total benefits -/- total costs for society, in this case benefits and costs often don’t accrue (entirely) to the same organisation due to the public nature of a project /media/loftslag/Perrels-CBA.pdf

• 3. Tony_Rosqvist_(VTT,_Fin)

  Literature: [1] Perrels, A., Veijalainen, N., Jylhä, K., Aaltonen, J., Molarius, R., Porthin, M., Silander, J., Rosqvist, T., Tuovinen, T. (2010), The Implications of Climate Change for Extreme Weather Events and their Socio-economic Consequences in Finland, VATT Research report 158 [2] Riitta Molarius, Adriaan Perrels, Markus Porthin, Tony Rosqvist (2008), Testing a Flood Protection /media/loftslag/Tony_Rosqvist_(VTT,_Fin).pdf

• 4. VI_2015_006

  ....................................................................................... 10 3 September 2012 .................................................................................. 12 3 Radiation fluxes at the surface ....................................................................... 16 4 Heat fluxes at the surface .............................................................................. 21 5 Net energy /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_006.pdf

• 5. The weather in Iceland 2014

  prec.days >=1.0 mm Reykjavík 963.1 121 112 37.6 223 160 Stafholtsey 829.4 97 28.0 182 144 Bláfeldur 1460.7 97 32.0 272 195 Stykkishólmur 678.8 96 87 20.0 218 136 Litla-Ávík 835.0 96 34.1 267 164 Bergstaðir 458.2 98 22.6 177 92 Sauðanesviti 1017.5 115 28.2 239 158 Akureyri 743.7 152 133 23.0 225 133 Grímsstaðir 514.8 /about-imo/news/nr/3082

• 6. ved-eng-2014

  24-hr mm prec.days >=1.0 mm Reykjavík 963.1 121 112 37.6 223 160 Stafholtsey 829.4 97 28.0 182 144 Bláfeldur 1460.7 97 32.0 272 195 Stykkishólmur 678.8 96 87 20.0 218 136 Litla-Ávík 835.0 96 34.1 267 164 Bergstaðir 458.2 98 22.6 177 92 Sauðanesviti 1017.5 115 28.2 239 158 Akureyri 743.7 152 133 23.0 225 133 Grímsstaðir 514.8 146 128 22.5 228 133 Miðfjarðarnes 765.0 120 36.4 233 /media/vedurstofan/utgafa/skylduskil/ved-eng-2014.pdf

• 7. Machguth_Horst_CES_2010

  experiments with different RCM’s • explore RCM biases • apply a different mass balance model data 2 RCM’s • HIRHAM4, Scenario A1B, 25 km, 1950-2100, Greenland • RCAO, Scenario A1B, 50 km, 1960-2100, Pan-Arctic 4 Weather Stations (Ta, Sin) • GC-Net Swiss Camp: 1150 m a.s.l. (1995 – 2006) • GC-Net Crawford: 2020 m a.s.l. (1995 – 2006) • Asiaq Station 437: 300 m a.s.l. (1983 – 2006) • DMI Illulisat /media/ces/Machguth_Horst_CES_2010.pdf

• 8. Joining forces in weather forecasting and climate research

  of how climate change will impact our countries” says Árni.A sustainable solution Powered entirely by Icelandic hydropower and geothermal energy sources and taking advantage of the local tempered climate for keeping the supercomputer components cool, the running costs and CO2 footprint will be kept to a minimum, saving tonnes of CO2 in line with the four nations' efforts towards reaching Net /about-imo/news/joining-forces-in-weather-forecasting-and-climate-research

• 9. The weather in Iceland in 2018

  Litla-Ávík 897,3 # 100,6 35,9 264 166 Hraun á Skaga 454,5 88,3 89,4 18,3 205 110 Litla-Hlíð 409,6 107,6 106,6 16,8 213 93 Sauðanesviti 927,3 107,6 101,1 48,7 227 158 Akureyri 695,9 134,2 114,9 37,1 209 131 Mýri 581,8 133,0 111,6 23,2 185 122 /about-imo/news/the-weather-in-iceland-in-2018

• 10. BIGJ_windrose_2005-2014

  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: 158 Calm: 2.5% Variable winds: 0% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 5 10 20 30 0 45 90 135 180 225 270 315 360 N E S W N (Number of observations for wind /media/vedur/BIGJ_windrose_2005-2014.pdf