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Results:

• 1. CES_D2.4_solar_CMIP3

  (an average of 18 mod- els) is depicted in Figs. 3 (in percentage terms) and 4 (in absolute terms). In the relative sense, largest changes occur in winter in central Scandinavia and southern Finland, where more than 5% of incident radiation would be lost (Fig. 3(a)). According to the t test, the signal is statistically significant at the 1% level. Over the Barents Sea, the decline is even larger /media/ces/CES_D2.4_solar_CMIP3.pdf

• 2. Paper-Olafur-Rognvaldsson_92

  precipitation measurements, and even though there were uncertainties related to their hydrological model (WATFLOOD), it was sufficiently sensitive to help improve atmospheric models. Jasper and Kaufmann (2003) compared results from WaSiM watershed models that were on one hand driven by meteorologi- cal observations and on the other hand driven by data from atmospheric mod- els. They concluded /media/ces/Paper-Olafur-Rognvaldsson_92.pdf

• 3. Public-Choice-2012---McGuiness-and-Walker---Foundations-of-the-Ostrom-workshop---institutional-analysis,-polycentricity,-and-self-governance-of-the-commons

  to Allocation: Authority rules define acceptable lev- els of harvesting from the CPR and/or the access to the resource through the allocation of space, time, and technological capabilities. Authority rules enhance efficiency through their impact on overall harvesting or coordination of technologies to reduce negative ex- ternalities that exist when users employ technologies that are incompatible. 3. Active /media/loftslag/Public-Choice-2012---McGuiness-and-Walker---Foundations-of-the-Ostrom-workshop---institutional-analysis,-polycentricity,-and-self-governance-of-the-commons.pdf

• 4. Hare-2011-ParticipatoryModelling

  ) Domai n expert s NO P NO P NO P HO M Proto typin g (co nceptua l m o de ls) NO P OT :Researcher s M KA M (conceptua l m od els ;s im u lat ion sub-model ) M/K A M 5Participatory Modelling in the Water Sector Copyright © 2011 John Wiley & Sons, Ltd and ERP Environment Env. Pol. Gov. (2011) DOI: 10.1002/eet 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 5. Journal_of_Hydrology_Veijalainen_etal

  in other studies in the Northern Hemisphere. The climate scenarios were used as gridded data of monthly changes with 2.5 grid for GCMs and 0.5 grid for RCMs. This study utilizes the strategy proposed by Fronzek and Carter (2007), in which the use of both GCM and RCM scenarios enables combining the advantage of the GCMs, the existence of many mod- els with many emission scenarios, with the more /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf

• 6. VI_2015_009

  characteristics are defined in Section 4.1. Variables no. 1–4 include physiographic catchment characteristics only, whereas variables no. 5–12 combine physiographic and climatic characteristics. Two groups of models were defined between the index flood µ(D) and V . The first twelve mod- els, (1–12), were defined assuming a power-form relationship between µ(D) and V : µ(D) = q0V q1 (8) and the next /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf

• 7. GA_2009_91A_4_Andreassen

  the melt (e.g. Laumann and Reeh 1993;Braithwaite 1995). Surface energy balance mod- els compute each of the relevant energy fluxes be-tween the atmosphere and the surface and require additional meteorological measurements and ob- servations, for example cloudiness and humidity.For studies of climate sensitivity to free-atmos-phere changes, data from stations outside the gla- cier boundary layer /media/ces/GA_2009_91A_4_Andreassen.pdf

• 8. VanderKeur_etal-2008-Uncertainty_IWRM-WARM

  /media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf

• 9. VI_2020_005

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

• 10. IPPC-2007-ar4_syr

  /media/loftslag/IPPC-2007-ar4_syr.pdf