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Results:

• 11. ved-eng-2014

  24-hr mm prec.days >=1.0 mm Reykjavík 963.1 121 112 37.6 223 160 Stafholtsey 829.4 97 28.0 182 144 Bláfeldur 1460.7 97 32.0 272 195 Stykkishólmur 678.8 96 87 20.0 218 136 Litla-Ávík 835.0 96 34.1 267 164 Bergstaðir 458.2 98 22.6 177 92 Sauðanesviti 1017.5 115 28.2 239 158 Akureyri 743.7 152 133 23.0 225 133 Grímsstaðir 514.8 146 128 22.5 228 133 Miðfjarðarnes 765.0 120 36.4 233 /media/vedurstofan/utgafa/skylduskil/ved-eng-2014.pdf

• 12. 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

• 13. 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

• 14. 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

• 15. IPPC-2007-ar4_syr

  Approximate CO2-eq concentrations corresponding to the computed radiative forcing due to anthropogenic GHGs and aerosols in 2100 (see p. 823 of the WGI TAR) for the SRES B1, AIT, B2, A1B, A2 and A1FI illustrative marker scenarios are about 600, 700, 800, 850, 1250 and 1550ppm, respectively. d) Temperature changes are expressed as the difference from the period 1980-1999. To express the change relative /media/loftslag/IPPC-2007-ar4_syr.pdf

• 16. 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

• 17. ces_geus_paakitsoq_full_report

  offsets between measurements and downscaled RCM fields at Crawford and Swiss Camp (1995-2006) are calculated. The offset-values are averaged over both stations and all years to obtain a correction value for each day of the year. Due 9 Figure 8: Mean annual accumulation distribution for the Paakitsôq area according to RCAO (Plot a) and HIRHAM4 (Plot b). to time constraints it was decided to calculate /media/ces/ces_geus_paakitsoq_full_report.pdf

• 18. VI_2015_006

  m 2 or less, compared with losses of 80 W m 2 or more over neigh- bouring cloud-free regions. The conditions around midnight, off the southeast coast on 27 July, and along the north coast on 3 September, clearly show the limited ability (in the model) of even a complete high-level cloud cover to affect the longwave radiation balance at the surface. Mid- level clouds are usually simulated together /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_006.pdf

• 19. VI_arsskyrsla2020

  of the infrastructure had taken advantage of rapid technological development without assessing the risk to the security aspects of that same infrastructure. The government has called for concrete actions, mainly for the elec- tric grid, but also for communication and connectivity, transport infrastructure and measures regarding avalanche hazards. The Icelandic Met O?ce (IMO) has actively participated in this gap /media/vedurstofan-utgafa-2020/VI_arsskyrsla2020.pdf

• 20. VI_2009_012

  Mw(v) plotted against log distance. The coefficient of correlation between Mw(v) and log distance is 0.24. High correlation coefficients have been shown to affect parameter estimates in one step regression methods (see Fukushima and Tanaka, 1990). The Ci values were also calculated from the derived PGA values. Instead of constructing another magnitude scale based on acceleration it was decided /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_012.pdf