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Results:

• 51. 2011_005

  in Appendix III. 4.2 Preferred layout of the network The Iceland CGPS network has been installed mostly through research grants of different projects with various collaborators. As a result the network coverage is uneven around the country. Areas outside of the active plate boundary have hardly any GPS stations and the network coverage is lacking for large part of the plate boundary, many /media/vedurstofan/utgafa/skyrslur/2011/2011_005.pdf

• 52. 2013_001_Nawri_et_al

  and a pressure of 1013.25 hPa. In the case of Iceland, the climate deviates significantly from these standard atmospheric conditions. Additionally, terrain elevation varies considerably across the island. Therefore, seasonal and annual differences in air density from the standard value, as well as spatial variability, need to be taken into account. Approximate air density can be calculated by assuming /media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf

• 53. VI_2009_013

  to locate earthquakes in Iceland but the SIL-crustal model has no Moho boundary. Using this model in the routine, daily analysis, the majority of the earthquakes in Eyjafjallajökull form a 3-km-wide chimney between 1 and 10 km depth beneath the northern flank of the volcano. A smaller cloud is also visible between 19 and 25 km depth, about 1.5 km west of the main activity/cluster. 13 Figure 3 /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_013.pdf

• 54. 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

• 55. VI_2014_005

  lines). Additionally, the aver- age profiles for offshore distances to the coast of up to 30 km are shown by the black lines. For temperature, the dashed lines indicate linear projection from the two lowest model levels to 2 m above ground. A comparison of monthly averages of simulated 2-m temperature with station measurements, both for SURFEX and projected values, is shown in Figure 8. On average /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf

• 56. 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

• 57. VI_2015_005

  Franz Josef Land. The western boundary at 71 W excludes Hudson Bay and Foxe Basin, both associated with their own storm climate. Baffin Bay is included in its entirety, since storm activity in that region is closely linked to that over the western North Atlantic (Dacre & Gray, 2009). The eastern boundary at 55 E is chosen to completely include the Barents Sea. This results in an area of 21,625,566 /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf

• 58. 2010_005_

  Century control runs, as well as 21st Century forecast runs, submitted by various institutions to the Intergovernmental Panel on Climate Change (IPCC) for their Forth 11 Table 1. General circulation and regional climate models that were considered in this study. Model Version Model Name, Institute BCCR BCM 2.0 Bergen Climate Model, Bjerknes Centre for Climate Research, Bergen, Norway CCCMA CGCM 3.1 /media/ces/2010_005_.pdf

• 59. Water_resources_man_Veijalainen_etal

  range 90% 93.15–93.29 93.27–93.36 75.43–75.56 94.59–94.71 2040–2069 range 90% 93.09–93.31 93.28–93.40 75.41–75.56 94.72–94.83 2070–2099 range 90% 93.02–93.32 93.24–93.43 75.38–75.61 94.79–94.91 Lowest water level (in the 30 year period) (m) Reference period 92.86 92.72 75.20 94.27 2010–2039 range 90% 92.62–92.91 92.96–93.13 75.24–75.33 94.47–94.59 2040–2069 range 90% 92.55–92.82 92.88–93.12 75.19 /media/ces/Water_resources_man_Veijalainen_etal.pdf

• 60. 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