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  • 41. VI_2022_006_extreme

    77 91 109 Hraunaveita 132 116 136 159 117 140 169 Kvíslaveita 48 42 49 58 42 51 61 Sultartangi 66 57 68 80 58 69 84 Þingvallavatn 96 84 99 117 85 102 123 Þórisvatn 47 41 49 57 42 50 60 Tungnaá 76 67 79 92 67 80 98 Ufsarlón 104 92 108 126 93 112 134 36 Figure 19 – 1M5 maps for catchment Hálslón based on the ICRA dataset without projection (top left), with RCP 2.6 and 10th percentile /media/vedurstofan-utgafa-2022/VI_2022_006_extreme.pdf
  • 42. Keskitalo_et_al-MLG_and_adaptation_FINAL

    areas: to the regional arm of the state (the county administrative boards) to coordinate adaptation; to specific governmental bodies and agencies to develop a common elevation data basis; and for the assessment of flood risk and erosion defense measures around Lake Vänern. Risks considered by the Bill include the flooding of central Gothenburg, the second largest city of Sweden (a risk /media/loftslag/Keskitalo_et_al-MLG_and_adaptation_FINAL.pdf
  • 43. VI_2020_008

    by the Peak-over-Threshold with MLE applied on daily and 24-hour accumulated precipitation from the ICRA. ............................... 58 8 Glossary 1M5 – Daily or 24-hour precipitation return level with a 5-year return period AMSAnnual Maxima Series CCCloseness Coefficient CDOClimate Data Operator EVA – Extreme Value Analysis GP – Generalized Pareto ICRA – Icelandic /media/vedurstofan-utgafa-2020/VI_2020_008.pdf
  • 44. BIKF_windrose_2005-2014

    direction (%) Aerodrome Total observations: 14883 Calm: 2.2% Variable winds: 0.55% 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 N (Number of observations for wind direction) Icelandic Met Office 02. júl. 2015 62 1 87 9 97 3 79 5 45 3 30 9 24 2 33 8 23 8 19 1 20 6 30 9 38 1 45 2 65 6 63 1 46 0 42 2 41 7 28 1 30 1 33 2 /media/vedur/BIKF_windrose_2005-2014.pdf
  • 45. BIVM_windrose_2005-2014

    N E S W N (Number of observations for wind direction) Icelandic Met Office 02. júl. 2015 114 8 128 7 84 9 36 1 26 0 13 9 24 3 65 4 136 4 250 3 366 4 298 8 189 6 146 9 99 9 160 6 111 5 83 5 86 1 86 4 80 0 82 6 92 4 96 3 97 5 124 9 109 5 127 7 122 4 115 3 88 0 61 9 52 3 55 3 96 0 109 9 Wind rose BIVM January 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 /media/vedur/BIVM_windrose_2005-2014.pdf
  • 46. 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
  • 47. VI_2017_009

    we take the corresponding data from the CMIP5 project. Table 1. All GCMs and RCMs used in this study. If a model is available for any of the domains Arctic-44, EURO-44, or EURO-11, it is marked with a v, but with an x if it is unavailable. Model name Type EURO-11 EURO-44 Arctic-44 CCCma-CanESM2 GCM x v v COSMO-CLM4-8-17 RCM v v x CNRM-CERFACS-CNRM-CM5 GCM v v x IHCEC-EC-Earth GCM v v v /media/vedurstofan-utgafa-2017/VI_2017_009.pdf
  • 48. VI_2021_008

    off an audio alarm. This feature is especially useful when there is an ongoing eruption (i.e. Fagradalsfjall 2021), as the stations around this eruptive area can be muted to enhance signals from other regions in Iceland. • Remove stations: Stations can be removed from the trigger calculations for all bandpass filters. Removed stations will not be accounted for in the tremor catalog /media/vedurstofan-utgafa-2021/VI_2021_008.pdf
  • 49. Kok_and_Veldkamp_editorial_ES-2011-4160

    agreement on use of terminology. Third, all scoping papers stress that there is no silver bullet solution, with a different view on both scale and governance being appropriate depending on the specific case. Buizer et al. (2011) are strongest on this view by presenting and discussing a framework. Termeer et al. (2010) confirm that there is no best governance approach, drawing an analogue /media/loftslag/Kok_and_Veldkamp_editorial_ES-2011-4160.pdf
  • 50. Outline_for_the_case_Road_maintenance_in_a_changing_climate

    & Hautala, R. 2009. Benefits and value of meteorological information services – the case of the Finnish Meteorological Institute, Meteorological Applications, 16, pp. 369–379. Meyer, M.D., Amekudzi, A., O’Har, J.P. (2009), Transportation Asset Management Systems and Climate Change: An Adaptive Systems Management Approach, paper for Transportation Research Board 2010 Annual Meeting, CD-ROM /media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf

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