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Results:

• 21. VI_2009_006_tt

  lake in a volcanic caldera in the interior of the Vatnajökull ice cap (Björns- son, 1988). Jökulhlaups from Grímsvötn have been known since at least the fourteenth century (Þórarinsson, 1939, 1974). In the beginning of the twentieth century there were about ten years between outbursts but the floods diminished with time and became more frequent. After a catastrophic, rapidly rising flood caused /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf

• 22. 2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343

  e in relatio n to climat echang eadapt ation .X ,X X ,XX X is a ge n era lguid eo n th e relativ e imp ortanc e leve lo fth e sourc es , alth oug h it mus tb e em phasise d tha tth e imp ortanc e o fth e indi vidua lsou rce s o fun certaint y is co n tex tspe cifi c St ep si n cl im at e ch an ge ad ap tat io n an al ys es (ch ain in u n ce rta in ty ca sc ad e, Fi g. 2) So ur ce s o fu n ce rta /media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf

• 23. 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

• 24. 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

• 25. BIRK_windrose_2005-2014

  0 8 6 8 0 8 9 8 8 7 3 8 5 5 1 11 8 14 4 Wind rose BIRK December 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 7 8 9 Frequency of wind direction (%) Aerodrome Total observations: 7629 Calm: 1.3% Variable winds: 1.7% Average wind speed for wind direction Wind direction (°) Wind speed /media/vedur/BIRK_windrose_2005-2014.pdf

• 26. 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

• 27. VI_2015_009

  flood models 1–24 (Eqs. 8 and 9 applied with variables 1–12). Ratio between esti- mated and reference index flood (solid black line). The solid blue line corresponds to the reference index flood (Ratio=1), estimated as the arithmetic mean of the observed AMF sample and the dashed blue lines the 95% CI derived from the GEV distribution. Large red symbol indicates overall best model. 18 4.2.2 Flood /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf

• 28. Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games

  individuals act like homo-œconomicus agents (see for example Andreoni 1988; Berg et al. 1995; Camerer 2003; Forsythe et al. 1994; Isaac et al. 1984). Recent developments in public-choice theory have taken a behavioral approach to broaden the analysis of collective action. The introduction of social preferences, such as altruism, inequity aversion or trust, may mean that optimal collective choices /media/loftslag/Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games.pdf

• 29. VI_Arsskyrsla_2018_vef

  - politan area to raise the awareness of climate change impacts on local scale. Agreements regarding long-term high-quality operations of weather stations have been made. Tailored services as input into the daily decision making and operations of local governments are also being discussed. IMO is undertaking broad evaluation and gap analysis of the different networks used in monitoring /media/vedurstofan/utgafa/arsskyrslur/VI_Arsskyrsla_2018_vef.pdf

• 30. VI_2020_004

  vedur@vedur.is Veðurstofa Íslands Bústaðavegur 7–9 108 Reykjavík Sara Barsotti, Veðurstofa Íslands Sigrún Karlsdóttir, Veðursstofa Íslands Anna María Ágústsdóttir, Landgræðslan Björn Oddsson, Almannavarnadeild Ríkislögreglustjóra Íris Marelsdóttir, Embætti landlæknis Þorvaldur Þórðarson, Jarðvísindastofnun H áskólans Þórólfur Guðnason, Embætti landlæknis Bogi B. Björnsson, Veðurstofa Íslands /media/vedurstofan-utgafa-2020/VI_2020_004.pdf