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Results:

• 31. Henriksen-AM

  ) • To deal with existing and new complexities management must be able to respond to changes in the natural and social environment and to anticipate associated uncertainties • Adaptation to climate change and management of related risks should be built into management plans and programmes • Adaptive and integrated management is considered to be an appropriate approach for doing so • Adaptive management /media/loftslag/Henriksen-AM.pdf

• 32. 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

• 33. 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

• 34. Group4

  Abackcastingscenario was developed which built upon a set of normative assumptions.These normative assumptionsare intended toestablish a pathway for Finnish society to achieve a low-impact mobility system. The scenarios are designed for use internally within the Finnish Transport Agency to assist in long-range planning and strategic investment, explicitly grounded in adaptive management principles of multiple /media/loftslag/Group4.pdf

• 35. 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

• 36. Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication

  RM, Capraro MM (2002) Myers-Briggs Type Indicator score reliability across studies: a meta-analytic reliability generalization study. Educ Psychol Meas 62:590–602 Carlson JG (1985) Recent assessments of the Myers-Briggs Type Indicator. J Personal Assess 49:356–365 Carlyn M (1977) An assessment of the Myers-Briggs Type Indicator. J Personal Assess 41:461–473 Clack GB, Allen J, Cooper D et al (2004 /media/loftslag/Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication.pdf

• 37. 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

• 38. Climate and Modeling Scenarios

  & Ruosteenoja, K. (2009). Comparing regional risks in producing turnip rape and oilseed rape - Impacts of climate change and breeding. Acta agriculturae Scandinavica 59B:2, 129-138. doi:10.1080/09064710802022895 (http://www.ingentaconnect.com/content/tandf/sagb/2009/00000059/00000002/art00004). Pryor, S.C., Barthelmie, R.J., Clausen, N.E., Drews, M., MacKellar, N. & Kjellström, E. (2010). Analyses /ces/publications/nr/1680

• 39. Kok_2-scenarios-lecture-2

  extreem events C6; qual nat. systems C7; policies C8; price of resources C9; other sectors C10; industry C11; inrastructure Crimea - Ukraine Manaus - Brazil From FCM to model input FCM – strong points • Easy to develop and apply. The approach is highly intuitive, it can quickly be explained and applied to any new situation. • High level of integration. A FCM can contain any type of information /media/loftslag/Kok_2-scenarios-lecture-2.pdf

• 40. VI_2017_009

  we take the corresponding data from the CMIP5 project. Table 1. All GCMs and RCMs used in this study. If a model is available for any of the domains Arctic-44, EURO-44, or EURO-11, it is marked with a v, but with an x if it is unavailable. Model name Type EURO-11 EURO-44 Arctic-44 CCCma-CanESM2 GCM x v v COSMO-CLM4-8-17 RCM v v x CNRM-CERFACS-CNRM-CM5 GCM v v x IHCEC-EC-Earth GCM v v v /media/vedurstofan-utgafa-2017/VI_2017_009.pdf