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Results:

• 11. IMO_AnnualReport2014

  of events closely. Photo: Sigurlaug Gunnlaugsdóttir. Bárðarbunga Pálmi Erlendsson, Bergur H. Bergsson and others installing GPS and com- munication equipment. Photos: Þorgils Ingvarsson and Benedikt G. Ófeigsson. I C E L A N D I C M E T O F F I C E / A N N U A L R E P O R T 2 0 1 4 5 The magma intrusion from Bárðarbunga to the eruption site at Holuhraun and related tremor pulses /media/vedurstofan/utgafa/skyrslur/2015/IMO_AnnualReport2014.pdf

• 12. VI_2019_009

  To distinguish between rain and snow, the volume is com- pared to the water equivalent but the volume of snow is ten times larger. Figure 1. How PWD22 determines the type of precipitation. Using the information about the changes of the backscatter signal, water equivalent and temper- ature the Vaisala Present Weather Detector can give information about the type of precipitation. It is also used /media/vedurstofan-utgafa-2019/VI_2019_009.pdf

• 13. VED_AnnualReport-2013_screen

  and our intention is to run these models dur- ing times of hazardous events and even on a daily basis to further improve monitoring. Avalanche monitoring has progressed. The em- phasis is now on improving our services, especially to the Icelandic Road and Coastal Administration with regard to transport. The reason is that com- munity structure has changed considerably in recent years and the need /media/vedurstofan/utgafa/arsskyrslur/VED_AnnualReport-2013_screen.pdf

• 14. 2005EO260001

  level in Skeidará waned. The last sign of a crater explosion was seen at GRF early on 6 November, leaving only a weak tremor signal from the remnants of the jökulhlaup. The jökulhlaup fi nally ended in early December, after ~0.8 km3 of water had drained from the Grímsvötn lake (J. Hardardóttir, personal com- munication, 2005). Location and Volume Constraints Earthquake locations at Grímsvötn /media/jar/myndsafn/2005EO260001.pdf

• 15. Paper-Olafur-Rognvaldsson_92

  a systematic com- parison of results to observed precipitation has been carried out. Un- dercatchment of solid precipitation is dealt with by looking only at days when precipitation is presumably liquid or by considering the occurrence and non-occurrence of precipitation. Away from non- resolved orography, the long term means (months, years) of observed and simulated precipitation are often /media/ces/Paper-Olafur-Rognvaldsson_92.pdf

• 16. Refsgaard_etal-2007-Uncertainty-EMS

  and possibly the stake- holders at different phases of the modelling project. Many QA guidelines exist such as Middlemis (2000) and Van Waveren et al. (1999). The HarmoniQuA project (Schol- ten et al., 2007; Refsgaard et al., 2005a) has developed a com- prehensive set of QA guidelines for multiple modelling domains combined with a supporting software tool, MoST (downloadable via http /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf

• 17. VI_2020_004

  .................... 85 8 Figure 57 50% PM10 probability map for an eruption like 1362 at Öræfajökull ..................... 86 Figure 58 The probability of exceedance curve at key locations (Öræfajökull) ...................... 87 Figure 59 Tephra accumulation rate on the ground on 7 May 1982 (Öræfajökull) ................. 88 Figure 60 Tephra accumulation rate on the ground on 5 May 1981 (Öræfajökull /media/vedurstofan-utgafa-2020/VI_2020_004.pdf

• 18. vanRoosmalen_etal-2009-WRR_2007WR006760

  with 20% and 2% for the HIRHAM experiments using HadAM3H and with 30% and 7% for the ECHAM- driven experiments for Middle Europe and Scandinavia, respectively. [18] RCM output is not available for the entire period 1961–2100 because transient RCM simulations are com- putationally very demanding. Instead two 30-year time slices are available; one representative for the climate in the period 1961–1990 /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf

• 19. VI_2014_005

  in an overall cold bias, compared with station measurements. To test, whether this is due to the HARMONIE model core or the external surface scheme, biases of 2-m temperature from SURFEX are com- pared with biases of temperature projected from the lowest two model levels to 2 mAGL. It is found that the negative temperature biases are due to shallow inversion layers near the ground, which are introduced /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf

• 20. VI_2020_005

  /media/vedurstofan-utgafa-2020/VI_2020_005.pdf