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Results:

• 31. Reports and publications

  et al. 3 2005 Seismic hazard in the Hengill area based on the SIL earthquake catalogue - First results (PDF) Kristján Ágústsson, Páll Halldórsson 42 0,8 2005 A model of the release of the two June 2000 earthquakes based on all available observations (PDF) Sigurlaug Hjaltadóttir, Kristín S. Vogfjörð, Þóra Árnadóttir, Páll Einarsson, Peter Suhadolc 8 8,2 2005 /earthquakes-and-volcanism/reports-and-publications/

• 32. esa_flyer_new

  ) will in general be be better and more consistent when using automatic instead of manual calibration. 10 40 70 1 0 0 0 13 26 39 52 Week Res er voir l ev el (% ) 1 All capacities and costs will be updated to the expected system in 2020. Some uncertainty regarding the amount of new renewable generation and/or climate will be analyzed in different cases. We will make a model for Norway, Sweden /media/ces/esa_flyer_new.pdf

• 33. Alam_Ashraful_CES_2010

  biomass at EBT and FF in Finland Management regimes Current c mate C mate c ange EBT FF Total EBT FF Total TWh yr-1 % TWh yr-1 % M0 (0%) 8.7 40.4 49.1 -- 17.8 67.5 85.4 -- M1 (+15%) 8.7 43.9 52.6 7 18.1 72.8 90.9 7 M2 (+30%) 8.4 46.4 54.8 12 18.4 76.4 94.8 11 M3 (+45%) 8.1 48.7 56.8 16 19.0 80.3 99.3 16 a l a r e a ( m 2 h a - 1 ) Basal area just before thinning Remaining basal area threshold /media/ces/Alam_Ashraful_CES_2010.pdf

• 34. Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management

  the body of knowledge in any given area by mapping out cause-and-effect relationships among key variables and encoding them with numbers that represent the extent to which one variable is likely to affect another (Jensen, 2002). Factors, associations and probabilities can be adjusted and validated and BNs are powerful for integrating data and knowledge from different sources and domains, e.g /media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf

• 35. 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

• 36. 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

• 37. 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

• 38. 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

• 39. 2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343

  e in relatio n to climat echang eadapt ation .X ,X X ,XX X is a ge n era lguid eo n th e relativ e imp ortanc e leve lo fth e sourc es , alth oug h it mus tb e em phasise d tha tth e imp ortanc e o fth e indi vidua lsou rce s o fun certaint y is co n tex tspe cifi c St ep si n cl im at e ch an ge ad ap tat io n an al ys es (ch ain in u n ce rta in ty ca sc ad e, Fi g. 2) So ur ce s o fu n ce rta /media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf

• 40. Moellenkampetal_etal-2010

  Acteurs et Usages (UMR G-EAU), Cemagref, 4University of Architecture, Civil Engineering and Geodesy, 5Hornsby Shire Council, 6Lisode, 7UN-Water Decade Programme on Capacity Development (UNW-DPC), United Nations University, 8School of Natural and Rural Systems Management, University of Queensland, 9College of Asia and the Pacific, The Australian National University, 10Marine and Atmospheric Research /media/loftslag/Moellenkampetal_etal-2010.pdf