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Results:

• 61. Daniell_etal-2010

  1977; further developed in the context of resource management by scholars such as Pahl-Wostl et al. 2007). In this study, we follow the concept by Pahl-Wostl et al. (2007). Social learning strategies and mechanisms help policy- makers constructively deal with a range of different values and viewpoints and develop flexible ways of managing the environment (Stringer et al. 2006). Social learning /media/loftslag/Daniell_etal-2010.pdf

• 62. Hare-2011-ParticipatoryModelling

  of reasons. First, if adopted, participatory modelling could become a valuable tool in the participatory toolbox of water managers and so provide them with effective ways of meeting, or even going beyond, legislative requirements for participation in water management. They would also gain the bene
  ts the approach offers in terms of model improvement (e.g. better stakeholder acceptance and improved /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 63. Kok_JGEC658_2009

  in the scenarios. In many ways, the creative aspects of qualitative scenarios as mentioned in Table 1 are more often than not related to fundamental changes in the system, which could be translated in terms of a transition to another domain of attraction in a stability landscape. This indicates that tools such as Fuzzy Cognitive Maps that can model social– ecological resilience are especially suitable /media/loftslag/Kok_JGEC658_2009.pdf

• 64. Moellenkampetal_etal-2010

  /media/loftslag/Moellenkampetal_etal-2010.pdf

• 65. 2010_017

  /media/ces/2010_017.pdf

• 66. VI_2014_005

  parameterisation became operational in September 2013. However, for the ongoing reanalysis project, particularly for data that has already been archived, it is important to find ways to correct biased surface data. The purpose of this study therefore is to analyse in more detail HARMONIE model errors in 2-m temperature and 10-m wind speed, mainly by separating the results of the surface scheme /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf

• 67. D2.3_CES_Prob_fcsts_GCMs_and_RCMs

  of the probability distributions will be studied in the next section. The discussion in Section 3 suggests at least three ways of deriving forecasts of climate change: (i) from GCM simulations alone, (ii) from RCM simulations alone, and (iii) by combining the GCM- and the RCM-based information. Figures 4.1-4.4 compare these alternatives with each other, with a fourth column included /media/ces/D2.3_CES_Prob_fcsts_GCMs_and_RCMs.pdf

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

  and the impacts are being seen now’’. Given the expected increase of climate-related extreme events, water management capabilities in the case-studies, and on a global scale, will be tested to their limits by the effects of climate change. This requires innovative and adaptive ways of managing water, which can be referred to as ‘‘Adaptive and Integrated Water Management’’ (AIWM). This paper /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf

• 69. IPPC-2007-ar4_syr

  and impacts from socio-economic information and emissions. With increased under- standing of these linkages, it is now possible to assess the linkages also counterclockwise, i.e. to evaluate possible development path- ways and global emissions constraints that would reduce the risk of future impacts that society may wish to avoid. 27 Introduction 1 See http://www.ipcc.ch/meetings/ar4-workshops /media/loftslag/IPPC-2007-ar4_syr.pdf

• 70. VI_2017_009

  (Dowdeswell et al., 1997; Björnsson and Pálsson, 2008; Cubasch et al. 2013; Agústsson et al., 2015). General Circulation Models (GCMs) simulate climate changes on a large spatial scales. They can be downscaled in several ways to study climate in more details. When this is done statistically, a correlation is found between observations and results from GCMs modelling of the past /media/vedurstofan-utgafa-2017/VI_2017_009.pdf