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Results:

• 11. VI_2015_006

  ....................................................................................... 10 3 September 2012 .................................................................................. 12 3 Radiation fluxes at the surface ....................................................................... 16 4 Heat fluxes at the surface .............................................................................. 21 5 Net energy /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_006.pdf

• 12. 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

• 13. GA_2009_91A_4_Andreassen

  ). Meteorological observations carried out on Storbreen in the summer of 1955 (Liestøl1967) revealed that net radiation is the most impor-tant contributor to the ablation at Storbreen. An au-tomatic weather station (AWS) has bee operatedin the ablation zone of Storbreen since September2001 providing a near-continuous series of meteor- ology and surface energy balance data. Analysis ofthe first five years /media/ces/GA_2009_91A_4_Andreassen.pdf

• 14. 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

• 15. Machguth_Horst_CES_2010

  experiments with different RCM’s • explore RCM biases • apply a different mass balance model data 2 RCM’s • HIRHAM4, Scenario A1B, 25 km, 1950-2100, Greenland • RCAO, Scenario A1B, 50 km, 1960-2100, Pan-Arctic 4 Weather Stations (Ta, Sin) • GC-Net Swiss Camp: 1150 m a.s.l. (1995 – 2006) • GC-Net Crawford: 2020 m a.s.l. (1995 – 2006) • Asiaq Station 437: 300 m a.s.l. (1983 – 2006) • DMI Illulisat /media/ces/Machguth_Horst_CES_2010.pdf

• 16. Adalgeirsdottir-etal-tc-5-961-2011

  (DGPS) equipment in 2001. Continuous profiles, approximately 1 km apart, were measured in the accumulation zone and a dense net- work of point measurements were carried out in the abla- tion zone. Digital Elevation Models (DEMs) of the surface and bedrock were created from these data (Fig. 2; Björns- son and Pálsson, 2004). The estimated errors are at most 1–5 m (bias less than 1 m) for the surface /media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf

• 17. ces-oslo2010_proceedings

  anomalies of the WTs during the periods leading up to the five most severe droughts as compared to the average frequency of a given WT for the same period of the year over the entire data record. A period equal to dreg preceding the drought plus the 20 first days of the drought was used. All WTs with a net positive frequency anomaly over the five events were considered to be associated /media/ces/ces-oslo2010_proceedings.pdf

• 18. Reykholt-abstracts

  /media/vatnafar/joklar/Reykholt-abstracts.pdf

• 19. VI_2014_005

  and direction, as well as air temperature, from the IMO operational surface station net- work. Most anemometers are installed at 10 m above ground level (mAGL). However, at some stations, surface winds are measured at different heights, h, varying between 4.0 and 18.3 m. 3This is done using a GRIB-API command on Parameter 141 (snow depth) in the earliest boundary data file: grib_set -f -d 0.0 -w /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf

• 20. Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management

  in the data used in making the decision and the factors are interlinked, all of which makes the problem highly complex. The part of the net defined by variables and links is relatively easily communicated to stakeholders (Henriksen et al., 2007b). However the tal Management 88 (2008) 1025–1036 quantitative part, with the conditional probability tables (CPTs), the numbers, is the step where /media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf