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Results:

• 61. Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games

  behavior towards a public good based on individual preferences, and provides insights into the type of indi- viduals who best serve the social interest and those to avoid in institutional settings. This distinction helps us to understand why, with the same incentives, the provision of public goods works better in some populations than in others. In addition, our use of a sequential public good /media/loftslag/Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games.pdf

• 62. Gudmundsson-etal-2011-PR-7282-26519-1-PB

  ¨kull to monitor inflation and deflation of the volcano (e.g., Pinel et al. 2007; Gudmundsson et al. 2010) both before and after the 2010 eruption. Data and methods The multi-temporal DEMs are constructed from the best available Defense Mapping Agency (DMA) aerial photographs taken between 1979 and 1984 in south Iceland, airborne Synthetic Aperture Radar (SAR) images obtained on 12 August 1998 /media/ces/Gudmundsson-etal-2011-PR-7282-26519-1-PB.pdf

• 63. Refsgaard_2-uncertainty

  impacts on hydrology The chain of uncertainties Models • Emission scenarios • Climate models (GCM + RCM) • Downscaling / bias correction Statistical downscaling/bias correction • Many different methods for making statistical downscaling  different results • We cannot know beforehand which downscaling method will turn out to be the best one • Example – comparison of two methods for future /media/loftslag/Refsgaard_2-uncertainty.pdf

• 64. 2010_005_

  The representation of these factors is still lacking or at best rudimentary in most RCMs. While adding more detail to re- gional climate studies, numerical downscaling is sensitive to various errors and biases in the GCM dynamics that may average out globally, but are present on the regional scale. In an attempt to minimise GCM errors, statistical downscaling methods correct GCM projections based /media/ces/2010_005_.pdf

• 65. ces-oslo2010_proceedings

  /media/ces/ces-oslo2010_proceedings.pdf

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

  from this run are shown in Fig. 12. that best simulated the measured glacier geometry. The rate factor (A) calibrated in this manner is on the order of 6× 10−15 s−1 kPa−3; a value that has been recommended for temperate ice (Paterson, 1994), but characterizes softer ice than the average of a series of model calibrations that is now recommended (Cuffey and Paterson, 2010). Here, two ap- proaches /media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf

• 67. Kok_JGEC658_2009

  for example the Sustainability First scenario as developed as part of the Global Environment Outlook (UNEP, 2007). The backbone of this scenario is best described as a ‘‘new sustainability paradigm’’. The scenario projects a strong and total change in human behaviour cutting across all sectors and all scales. To typify the new situation, the story uses phrases such as ‘‘new environment and develop- ment /media/loftslag/Kok_JGEC658_2009.pdf

• 68. Kok_et_al._TFSC_published_2011

  proposed 2025 horizon, mostly to include the impact of climate change. Furthermore, the use of fast-track scenarios and the selection of the best set of scenarios was discussed in detail. It was decided to use the GEO-4 scenarios [20] developed for Europe (unpublished), where both qualitative storylines and model output had been used, as the starting point of the SCENES scenario development process /media/loftslag/Kok_et_al._TFSC_published_2011.pdf

• 69. Lorenzoni_Pidgeon_2006

  60% felt that climate change would be best addressed at a global level, 13% suggested national government, while only 9% felt climate change could be best tackled at an individual household level (Kirby, 2004). Only 5% favoured the European level, which is surprising given the united front the EU tries to portray at international negotiations on climate change and the initiatives being undertaken /media/loftslag/Lorenzoni_Pidgeon_2006.pdf

• 70. Journal_of_Hydrology_Veijalainen_etal

  the best performing RCMs in Scandinavia. Christensen and Christensen (2007) noted that RCMs with quite different biases are much closer to each other when simulating cli- mate change impact since part of the biases is cancelled out by the relative change. Jylhä et al. (2004) made similar findings about changes in GCMs in Finland. However, even when the relative changes are used in the delta change /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf