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Results:

• 21. Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change

  can be found in Huntjens et al. (2007), Chapter 4 of NeWater Deliverable 1.7.9a (http://www.newater.info). Climate change adaptation in European river basins 265 123 interactions, by private and public actors, to achieve adaptation and to enhance the capacity of processes, institutional arrangements and actors to adapt to future environmental changes (Huitema et al. 2009). Adaptive governance /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf

• 22. VI_2020_005

  and CNES, n.d.; National Center for Atmospheric Research Staff, 2016; Quante and Colijn, 2016). Now, additional altimeters at different orbits perform slightly less accurate measurements up to 82 N and S (Rhein et al., 2013). These records are used to estimate sea surface changes and calculate global mean sea level, a temporal average sea level averaged over the oceans (Church, Clark, et al., 2013 /media/vedurstofan-utgafa-2020/VI_2020_005.pdf

• 23. Hydropower - Glacier, Snow and Ice

  (2010). An updated gridded precipitation data set for Iceland. 62-63. Einarsson, B., & Jónsson, S. (2010). The effect of climate change on runoff from two watersheds in Iceland. p. 86-87. (joint work with the hydrological modelling group) Jóhannesson, T., Aðalgeirsdóttir, G., Ahlstrøm, A., Andreassen, L.M., Beldring, S., H. Björnsson, H., Crochet, P., Einarsson, B., Elvehøy, H., Guðmundsson, S /ces/publications/nr/1940

• 24. PhD_course-Programme_26Aug2011-final

  Christian Refsgaard, GEUS All week AP Adriaan Perrels, FMI All week SK Sigrún Karsldóttir, IMO All week FU Frederik Uldal, University of Copenhagen Logistic support Course material Papers and book chapters - recommended reading Henriksen HJ, Barlebo HC (2008) Reflections on the use of Bayesian belief networks for adaptive management. Journal of Environmental Management, 88, 1025- 1036. doi:10.1016 /media/vedurstofan/PhD_course-Programme_26Aug2011-final.pdf

• 25. 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

• 26. 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

• 27. 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

• 28. 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

• 29. 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

• 30. NOMEK09_Report

  Hermannsdóttir (Media) Sveinn Brynjólfsson (Avalanche) Theodor Freyr Hervarsson (Aviation) Guðrún Nína Petersen (Forecast errors) SMHI: Andreas Carlsson (Dynamics/NWP) Anna Eronn (Satellite) met.no: Bjørn Røsting (Dynamics) FMI: Vesa Nietosvaara (Online sessions and website) Elena Saltikoff (Radar-distans teaching) DMI: Claus Petersen (Slippery Roads) EUMETSAT: Jochen Kerkmann (Satellite /media/vedurstofan/utgafa/skyrslur/2009/NOMEK09_Report.pdf