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Results:

• 21. Öræfajökull – frequent questions & answers

  in Iceland and the second largest in Europe after the Vesuvius 79 AD. Question: What are the possible hazards related to an eruption in Öræfajökull?Answer: Tephrafallout, ash cloud, lightning, pyroclastic flows, jökulhlaup /glacial outburst floods, ballistics, lava flows, gas pollution. They will occur over different time frames, with probably the flood to be the first sub-aerial evidence /volcanoes/about-volcanoes/oraefajokull/q-a/

• 22. VED_AnnualReport-2013_screen

  risk as- sessments and response plans in collaboration with other agencies. What have we achieved during the last five years? The largest achievement was to be nominated as a State Volcano Observatory by the Icelandic and International Civil Aviation Authorities, with the ob- jectives to monitor Icelandic volcanoes, Jan Mayen and volcanic activity in the oceanic area around Ice- land. Experts /media/vedurstofan/utgafa/arsskyrslur/VED_AnnualReport-2013_screen.pdf

• 23. 2005EO260001

  ) by fossil fuel burning and land-use change. As the terrestrial bio- sphere is an active player in the global carbon cycle, changes in land use feed back to the climate of the Earth through regulation of the content of atmospheric CO2, the most impor- tant greenhouse gas, and changing albedo (e.g., energy partitioning). Recently, the climate modeling community has started to develop more /media/jar/myndsafn/2005EO260001.pdf

• 24. Paper-Olafur-Rognvaldsson_92

  for Meteorological Research, Reykjavík, Iceland 5Bergen School of Meteorology, Geophysical Insitute, University of Bergen, Norway †Corresponding author: or@belgingur.is, Orkugarður, Grensásvegur 9, 108 Reykjavík ABSTRACT Atmospheric flow over Iceland has been simulated for the period Jan- uary 1961 to July 2006, using the mesoscale MM5 model driven by initial and boundary data from the ECMWF. Firstly /media/ces/Paper-Olafur-Rognvaldsson_92.pdf

• 25. Refsgaard_etal-2007-Uncertainty-EMS

  The advantage of Monte Carlo analysis is its general appli- cability and that it does not impose many assumptions on prob- ability distributions and correlations and that it can be linked to any model code. The key limitation is the large run times for computationally intensive models and the huge amount of outputs that are not always straightforward to analyse. 4.8. Multiple model simulation Multiple model /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf

• 26. NONAM_1st_workshop_summary_v3

  ; in particular Chapter 4). 7 Seppo Saarelainen & Lasse Makkonen: Adaptation to climate change in the road management – Pre-study. Helsinki 2007. 8 The Finnish Road Administration (Finnra) (2009), The effect of climate change on the routine and periodic maintenance of roads, Finnra report 8/2009, (in Finnish, abstract in English). 9 Salanne, i., Byring, B., Valli, R., Tikkanen, R., Peltonen, P /media/vedurstofan/NONAM_1st_workshop_summary_v3.pdf

• 27. vanRoosmalen_etal-2009-WRR_2007WR006760

  and Irrigationa Scenario Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Current 101 85 59 13
  6
  4
  1 6 39 79 84 97 A2 145 132 73 10
  10
  7
  6
  8 4 75 92 123 B2 137 119 75 16
  6
  6
  6
  5 21 74 110 141 aValues are in millimeters. 10 of 18 W00A15 VAN ROOSMALEN ET AL.: CLIMATE AND LAND USE CHANGE W00A15 time and larger area where groundwater levels rise above the drain levels. Table 6 shows the mean discharges /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf

• 28. Keranen_Jaana_CES_2010

  tance ◊ energy losses hot w e ather decre ase s the lifetim e of tra nsform ers increas ing w ater capa city V ery like ly, the pro bability tha t the next decad e is w arm er is 90%. Phe nom ena 1.1 - higher te m peratures, espe cially during winter Sc en ario 1. war mer clim ate Conseque nce categ ory acc ording to own ra nking Lik elihood according to own rank in g Th e op /media/ces/Keranen_Jaana_CES_2010.pdf

• 29. 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

• 30. Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management

  the body of knowledge in any given area by mapping out cause-and-effect relationships among key variables and encoding them with numbers that represent the extent to which one variable is likely to affect another (Jensen, 2002). Factors, associations and probabilities can be adjusted and validated and BNs are powerful for integrating data and knowledge from different sources and domains, e.g /media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf