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Results:

• 41. CES_D2.4_task1

  is projected to approach 90%. The impact of anthropogenic climate change on precipitation is still estimated to be very small at present. In the middle of this century, typically about 60% of all months are projected to have above-median precipitation in northern Europe, although with a substantial variation with the time of the year. An on-line appendix of this report provides detailed tables /media/ces/CES_D2.4_task1.pdf

• 42. 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

• 43. The weather in Iceland in 2018

  of bright sunshine hours in June have not been as few since 1914. It was sunny in Reykjavík in March, August and September. In Akureyri the number of bright sunshine hours was above normal in March, June and September but below normal in April, July, August and October. Sea level pressure The annual average in Reykjavík was 1003.0 hPa, 2.9 below the 1961 to 1990 mean. The absolute /about-imo/news/the-weather-in-iceland-in-2018

• 44. The weather in Iceland in 2020

  to the 10-year average. It was relatively warmer in coastal areas but colder in the inland.JuneJune was warm and favorable. It was relatively warmest in the Northeast but cooler in the southwestern part. Wind and precipitation were close to average.July July was rather cold compared to recent years, although the mean was above the 1961 to 1990 average. Yet the weather was not unfavorable /about-imo/news/the-weather-in-iceland-in-2020

• 45. Tornado_Impacts_-_FMI_Presentation

  The Economic and Societal Impacts of Tornadoes Kevin M. Simmons Austin College Fulbright Research Scholar International Centre for GeoHazards Oslo, Norway Economic and Societal Impacts of Tornadoes By Kevin M. Simmons and Daniel Sutter © 2010, 296 pages in paperback ISBN: 978-1-878220-99-8 AVAILABLE NOVEMBER 2010 from the American Meteorological Society and the University of Chicago Press /media/loftslag/Tornado_Impacts_-_FMI_Presentation.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_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 AMS – Annual Maxima Series CC – Closeness Coefficient CDO – Climate Data Operator EVA – Extreme Value Analysis GP – Generalized Pareto ICRA – Icelandic /media/vedurstofan-utgafa-2020/VI_2020_008.pdf

• 48. BIHU_windrose_2005-2014

  3 3 12 1 4 3 11 3 1 12 2 Wind rose BIHU April 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 12 14 Frequency of wind direction (%) Aerodrome Total observations: 291 Calm: 8.9% Variable winds: 0% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 5 10 15 /media/vedur/BIHU_windrose_2005-2014.pdf

• 49. 2005EO260001

  ) by fossil fuel burning and land-use change. As the terrestrial bio- sphere is an active player in the global carbon cycle, changes in land use feed back to the climate of the Earth through regulation of the content of atmospheric CO2, the most impor- tant greenhouse gas, and changing albedo (e.g., energy partitioning). Recently, the climate modeling community has started to develop more /media/jar/myndsafn/2005EO260001.pdf

• 50. Paper-Olafur-Rognvaldsson_92

  for Meteorological Research, Reykjavík, Iceland 5Bergen School of Meteorology, Geophysical Insitute, University of Bergen, Norway †Corresponding author: or@belgingur.is, Orkugarður, Grensásvegur 9, 108 Reykjavík ABSTRACT Atmospheric flow over Iceland has been simulated for the period Jan- uary 1961 to July 2006, using the mesoscale MM5 model driven by initial and boundary data from the ECMWF. Firstly /media/ces/Paper-Olafur-Rognvaldsson_92.pdf