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Results:

• 21. Bardarbunga-2014_August-events

  in 1991. The blue dashed line shows the number of all measured earthquakes but the red line shows the number of earthquakes above 1.5 in magnitude. During these years, the measuring net has improved and become more sensitive. That is the reason for showing the larger earthquakes separately. 18 August 2014 20:45 - An overview of the first three days Since the onset of the earthquake swarm /media/jar/Bardarbunga-2014_August-events.pdf

• 22. Bárðarbunga 2014 - August events

  line shows the number of all measured earthquakes but the red line shows the number of earthquakes above 1.5 in magnitude. During these years, the measuring net has improved and become more sensitive. That is the reason for showing the larger earthquakes separately. 18 August 2014 20:45 - An overview of the first three days Since the onset of the earthquake swarm at Bárðarbunga on Saturday /earthquakes-and-volcanism/articles/nr/3000/

• 23. VI_2014_005

  ......................... 17 8 Monthly averages of SURFEX or projected 2-m air temperature ...................... 18 9 Local correction factors for 10-m wind speed ............................................... 19 10 Interpolated correction factors for 10-m wind speed ...................................... 20 11 Monthly averages of original or corrected temperature and wind speed .............. 21 12 /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf

• 24. 2010_017

  ................................................................................................. 18 Figure 7. Scatter plots of the modelled and measured daily discharges for Austari-Jökulsá, vhm 144, 1990–2005. Former calibration without the groundwater module active to the left and new calibration with the groundwater module active to the right. .................................. 21 6 Figure 8 /media/ces/2010_017.pdf

• 25. 2010_016

  meteorological station back to 1831 is also shown. All 13 scenarios are shown (see text for explanations). The figures show the difference of the mean annual temperature of glaciological years (starting in October of the previous year and ending in September of the respective year) with respect to the average of the period 1981–2000. ....................... 18 Figure 6. Mean discharge seasonality /media/ces/2010_016.pdf

• 26. NONAM_1st_workshop_summary_v3

  for each of the seven questions. Each subgroup of 5–8 participants discussed each question. Then the two groups delivered their suggestions in the large group. Hereby, the other group could reflect on the results also, in order to merge the outputs of the two groups into a coordinated result for group A. NONAM Workshop Reykjavik 26 & 27 August 2010 – Summary 18 Photo A: Break out /media/vedurstofan/NONAM_1st_workshop_summary_v3.pdf

• 27. VI_2020_005

  with near real-time data can be accessed at the NTSLF website3. 1kartverket.no/sehavniva 2https://www.smhi.se/en/weather/sweden-weather/sea-observations/havsvst_en.htm 3https://www.ntslf.org/data 18 Sea level measurements around Iceland are unfortunately limited. At present, no official institution is responsible for sea level measurements in Iceland and only one long-time tide gauge series exists /media/vedurstofan-utgafa-2020/VI_2020_005.pdf

• 28. Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management

  in the data used in making the decision and the factors are interlinked, all of which makes the problem highly complex. The part of the net defined by variables and links is relatively easily communicated to stakeholders (Henriksen et al., 2007b). However the tal Management 88 (2008) 1025–1036 quantitative part, with the conditional probability tables (CPTs), the numbers, is the step where /media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf

• 29. VI_2022_006_extreme

  Methodology ...................................................................................................... 11 4.1.2 Results ................................................................................................................ 15 4.2 Change in precipitation type .......................................................................................... 18 4.2.1 Total snow /media/vedurstofan-utgafa-2022/VI_2022_006_extreme.pdf

• 30. Journal_of_Hydrology_Veijalainen_etal

  -HadCM3-Q0a – A1B HadCM3-A1B 5.44 16.8 9 UKMO-HadCM3-Q0a – B1 HadCM3-B1 3.93 15.8 10 CCSM3 – A2 CCSM3-A2 4.75 14.9 11 CCSM3 – A1B CCSM3-A1B 3.54 12.9 12 CCSM3 – B1 CCSM3-B1 2.72 7.8 13 CNRM-CM3 – A2 CNRM-A2 3.50 15.4 14 CNRM-CM3 – A1B CNRM-A1B 3.16 12.3 15 CNRM-CM3 – B1 CNRM-B1 1.80 7.8 16 ECHAM5/MPI-OM RCA3 A1B RCA3-E-A1B 3.50 20.3 17 ECHAM5/MPI-OM REMO A1B REMO-E-A1B 3.36 12.8 18 UKMO-HadCM3-Q3b /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf