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Results:

• 21. VI_2020_004

  .......................................................................................................................... 22 2.3 Öræfajökull ............................................................................................................... 23 3 Volcanic hazard considered and selected infrastructure at risk .......................................... 25 3.1 Volcanic tephra fallout /media/vedurstofan-utgafa-2020/VI_2020_004.pdf

• 22. VI_2013_008

  systematically underestimated. The bias is not as pronounced for the non glacial rivers. Com- bining synoptic-scale and basin-scale predictors (method 3) leads to a substantial improvement compared to the use of MSLP fields alone (method 1). Analogue forecasts become similar or better than persistence, depending on catchment and lead time. Usually, persistence performs better for T=1 day and then method 3 /media/vedurstofan/utgafa/skyrslur/2013/VI_2013_008.pdf

• 23. ces-glacier-scaling-memo2009-01

  volume towards a new steady state of the glacier in the case of a “moderate” step change in climate. The relative importance of the mass-balance–elevation feedback and the reduction in ice- covered area may be analysed with reference to the perturbation equation d(DV ) dt = B0+beDA+GeDV = B 0 DV tV ; (3) where the volume time-scale tV is given by tV = 1 ( be=H) Ge ; (4) (Harrison and others, 2001 /media/ces/ces-glacier-scaling-memo2009-01.pdf

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

  ’ on at least 3 of the 4 dichotomies (Myers et al. 1998), and we expect similar patterns among our participants. It should be noted that the MBTI® has a long history of discussion focusing on the reliability and validity of the instrument’s scores (e.g., Carlyn 1977; Carlson 1985; Capraro and Capraro 2002; Salter et al. 2005), and some authors have questioned the utility of the instrument (e.g., Pittenger /media/loftslag/Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication.pdf

• 25. Irafossmyndir_1-4

  
  Mynd 1
  Mynd 2 
  Mynd 3
  Mynd 4 /media/geislun/myndasafn/Irafossmyndir_1-4.doc

• 26. Daniell_etal-2010

  Christian Huesmann 1, Sophie Rotter 3, Claudia Pahl-Wostl 1, Karina Speil 3, and Wiebke Pohl 1 ABSTRACT. New regulatory water management requirements on an international level increasingly challenge the capacity of regional water managers to adapt. Stakeholder participation can contribute to dealing with these challenges because it facilitates the incorporation of various forms of knowledge /media/loftslag/Daniell_etal-2010.pdf

• 27. Forecasts - Hálfdán

  6 Cloud cover: 0% 21 GMT -2° NE 6 Cloud cover: 0% 22 GMT -3° NE 5 Cloud cover: 0% 23 GMT -3° NNE 5 Cloud cover: 0% Tue 2.05 00 GMT -3° NNE 4 Cloud cover: 0% 01 GMT -3° NNE 4 Cloud cover: 0% 02 GMT -4° NNE 3 Cloud cover: 0% 03 GMT -4° NNE 3 Cloud cover: 0% 04 GMT -5° NE 2 Cloud cover: 0% 05 GMT -5° NE 2 Cloud cover /m/forecasts/areas

• 28. Observations - Öræfi

  Observations - Öræfi | Observations | Icelandic Meteorological office Observations - Öræfi Mon 1.05 14 GMT 6.4° SE 7 Max wind : 7 / 12Road temp. : 12.4° 13 GMT 6.4° SE 7 Max wind : 7 / 13Road temp. : 10.6° 12 GMT 6.4° NW 2 Max wind : 3 / 6Road temp. : 8.3° 11 GMT 5.7° WSW 1 Max wind : 2 / 5Road /m/observations/areas

• 29. BIHN_windrose_2005-2014

  Wind rose BIHN 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 Frequency of wind direction (%) Aerodrome Total observations: 28301 Calm: 5.3% Variable winds: 1.6% 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/BIHN_windrose_2005-2014.pdf

• 30. BIVO_windrose_2005-2014

  S W N (Number of observations for wind direction) Icelandic Met Office 02. júl. 2015 26 8 27 9 44 9 36 0 111 1 173 2 39 3 24 9 20 7 9 0 2 9 4 7 1 0 1 4 3 3 1 6 2 6 3 5 6 8 10 1 27 3 39 0 86 7 209 6 71 4 25 7 21 5 8 2 5 4 9 4 2 9 7 7 11 8 7 1 16 0 21 5 Wind rose BIVO January 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 /media/vedur/BIVO_windrose_2005-2014.pdf