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• 51. 2010_017

  m J M5 [C°] -3 obs. [C°] -4 nce 1 re 5. Comp 26); an int temperatu this system y gridded v picion abo -Jökulsá w similar dif han observ h elevation ces the effe months No ly only on high the tem n band wi refore be s onthly tem an Feb Ma .2 -3.1 -3. .3 -4.1 -3. .1 1.0 0.6 arison of m erpolation re is shown atic differe alues, see T ut the qual atershed; b ference wa ations for t gradient fo /media/ces/2010_017.pdf

• 52. 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

• 53. Keskitalo_et_al-MLG_and_adaptation_FINAL

  areas: to the regional arm of the state (the county administrative boards) to coordinate adaptation; to specific governmental bodies and agencies to develop a common elevation data basis; and for the assessment of flood risk and erosion defense measures around Lake Vänern. Risks considered by the Bill include the flooding of central Gothenburg, the second largest city of Sweden (a risk /media/loftslag/Keskitalo_et_al-MLG_and_adaptation_FINAL.pdf

• 54. 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

• 55. Hare-2011-ParticipatoryModelling

  are labelled according to the geographical area of application. Examples such as Zürich and Hase II have already been reviewed and categorized in Hare et al. (2003) and Bots and van Daalen (2008), respectively. The entire Iskar process, of which Iskar (Phase I) is a part, has been categorized by Barreteau et al. (2010). All are included in this review to provide alternative analytical perspectives /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 56. Lorenzoni_Pidgeon_2006

  for people to conceptualise and to relate to their daily activities, arguably because it cannot be easily translated into the language of popular culture (Ungar, 2000; see also mental models of cli- mate change by Bostrom et al., 1994; Kempton, 1997; discussed later). Secondly, the various datasets available detailing public opinions and attitudes on climate PUBLIC VIEWS ON CLIMATE CHANGE: EUROPEAN /media/loftslag/Lorenzoni_Pidgeon_2006.pdf

• 57. 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

• 58. 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

• 59. 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

• 60. 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