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  • 11. BIAR_windrose_2005-2014

    Wind rose BIAR 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 Frequency of wind direction (%) Aerodrome Total observations: 88640 Calm: 3.8% Variable winds: 9% 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 /media/vedur/BIAR_windrose_2005-2014.pdf
  • 12. 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
  • 13. BIKF_windrose_2005-2014

    Wind rose BIKF 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 Frequency of wind direction (%) Aerodrome Total observations: 176045 Calm: 1.8% Variable winds: 0.49% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 5 10 15 0 45 90 135 180 225 270 315 360 N E S W /media/vedur/BIKF_windrose_2005-2014.pdf
  • 14. BIVM_windrose_2005-2014

    Wind rose BIVM 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: 42081 Calm: 0.58% Variable winds: 3.8% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 5 10 15 20 0 45 90 135 180 225 270 315 360 /media/vedur/BIVM_windrose_2005-2014.pdf
  • 15. vanRoosmalen_etal-2009-WRR_2007WR006760

    with 20% and 2% for the HIRHAM experiments using HadAM3H and with 30% and 7% for the ECHAM- driven experiments for Middle Europe and Scandinavia, respectively. [18] RCM output is not available for the entire period 1961–2100 because transient RCM simulations are com- putationally very demanding. Instead two 30-year time slices are available; one representative for the climate in the period 1961–1990 /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf
  • 16. Adalgeirsdottir-etal-tc-5-961-2011

    ) and late summer (27 August to 22 Septem- ber 2002; accuracy ∼ 20 m a−1) velocities deduced from cross- correlation of 2.5 m resolution SPOT5 HRG satellite images. Reli- able annual velocity measurements were only obtained in the vicin- ity of the locations 1–3 shown in Fig. 7a. Location 1 2 3 Annual velocity [m a−1] 360 110 120 Late summer velocity [m a−1] 550 140 150 3.4 Temperature /media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf
  • 17. 2013_001_Nawri_et_al

  • 18. Linnet_Ulfar_CES_2010

    °C/100y 1975-2000 • 2.35 °C/100y 2000- •Change in precipitation • Average increase 4.8% / 100 y • Range 3.3 – 7.2 % •Glaciers • Results from CES • 25% decrease in volume from 2000 to 2050 Temperature transformation Com parison of series 10000 12000 14000 16000 18000 20000 22000 1 9 5 0 1 9 5 2 1 9 5 4 1 9 5 6 1 9 5 8 1 9 6 0 1 9 6 2 1 9 6 4 1 9 6 6 1 9 6 8 1 9 7 0 1 9 7 2 1 9 7 4 1 9 7 6 1 9 7 8 1 /media/ces/Linnet_Ulfar_CES_2010.pdf
  • 19. ECONOMIC_EFFECTS_OF_CLIMATE_CHANGE_ON_THE_TOURISM_SECTOR_IN_SPAIN

    /lexuriserv/lexuriserv.do?uri=com:2007:0002:FIN:EN:PDF, 13 April 2009. [2] WTO, World Tourism Organization (2008): “Climate Change and Tourism - Responding to Global Challenges”, UNWTO, 9 July 2008, Madrid, Spain. Available at: http://www.unwto.org/media/news/en/press_det.php?id=1411&idioma=E, 7 March 2010. [3] Mooney, J.E. y Miller, M.L. (2009): “Climate change: Creating demand for sustainable /media/loftslag/ECONOMIC_EFFECTS_OF_CLIMATE_CHANGE_ON_THE_TOURISM_SECTOR_IN_SPAIN.pdf
  • 20. VI_2009_006_tt

    to theoretical framework. I do also want to thank him for an enjoyable time during this work, both in the office and in the field. This work was carried out as a part of the Skaftá cauldrons research project which was funded and supported by the Icelandic Centre For Research (RANNÍS), Kvískerja- sjóður, the NASA Astrobiology Institute, Landsvirkjun (the National Power Com- pany), the National Energy /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf

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