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Results:

• 21. ces-glacier-scaling-memo2009-01

  (the subscript “a” denotes change over the hydrological year under consideration), based on the simulated mass balance summed over all the corresponding glaciated elevation bands or grid cells. The total glaciated area, S1, and ice volume, V1, at the beginning of the year are assumed to be known, providing an estimate of the average ice thickness, h1 = V1=S1. From the scaling relationship (5 /media/ces/ces-glacier-scaling-memo2009-01.pdf

• 22. VanderKeur_etal-2008-Uncertainty_IWRM-WARM

  cia l sy ste m ): th re e m ai n gr ou ps o fthreat s ar e at th e scene : cl im at e, so ci o -e co n o m ic s an d gover nanc e 1: M ai nl y ep ist em ic pl us som e onto logi ca l 2:S cenari o Pa rti ci pa to ry pr oc es s (PP ) imp ortan tt o de al w ith un certaint y Pa rti cip at o ry pr o ce ss (PP )im po rta n tt o de al w ith u n ce rta in ty : Pa rti ci pa to ry go al se tti ng :c o n /media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf

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

  are currently melting at a fast rate. Over recent decades, annual mass balance field observations on the three largest ice caps in Iceland* Langjo¨kull (ca. 900 km2), Hofsjo¨kull (ca. 890 km2) and Vatnajo¨kull (ca. 8100 km2)*show a declining specific mass balance from about 0 m yr1 w. eq. on average from 1980 to 1994 to 1 to 1.3 m yr1 w. eq. on average after 1995 (Bjo¨rnsson et al. 2002 /media/ces/Gudmundsson-etal-2011-PR-7282-26519-1-PB.pdf

• 24. Daniell_etal-2010

  and evaluating impacts (see also Swallow et al. 2001, van Ast and Boot 2003). METHODS AND DATA This article is based on empirical data that originated from the analysis of the participatory exercise in the Dhuenn basin. The strong involvement of researchers from two research projects (NeWater[1] and ACER[2]) linked by a joint case study led to the variety of sources available for exploration, including /media/loftslag/Daniell_etal-2010.pdf

• 25. Hare-2011-ParticipatoryModelling

  are labelled according to the geographical area of application. Examples such as Zürich and Hase II have already been reviewed and categorized in Hare et al. (2003) and Bots and van Daalen (2008), respectively. The entire Iskar process, of which Iskar (Phase I) is a part, has been categorized by Barreteau et al. (2010). All are included in this review to provide alternative analytical perspectives /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 26. Perrels-CBA

  / design, availability, materials, ICT, modal split) 26.8.2011Adriaan Perrels/IL 5 Categorising stages of adaptation Passive Adaptation - automatic in nature and economy - only ex post measures (no anticipation) Active Adaptation - automatic in nature and economy - ex ante and ex post policies Emission scenario dependent baseline (A1-T, B1, A2, etc.) Reference costs and benefits /media/loftslag/Perrels-CBA.pdf

• 27. Kok_and_Veldkamp_editorial_ES-2011-4160

  agreement on use of terminology. Third, all scoping papers stress that there is no silver bullet solution, with a different view on both scale and governance being appropriate depending on the specific case. Buizer et al. (2011) are strongest on this view by presenting and discussing a framework. Termeer et al. (2010) confirm that there is no best governance approach, drawing an analogue /media/loftslag/Kok_and_Veldkamp_editorial_ES-2011-4160.pdf

• 28. 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

• 29. vonKorff_etal-2010

  played a role in this first phase as the author tables on decision analysis show. In summary, the comparison resulted in the reconstruction of 10 steps on which there appears to be considerable agreement among the five guides. 1. DA 1: Assemble a team for decision analysis as part of the participation design. Its members should belong to the lead agency, e.g., the water board, but can also /media/loftslag/vonKorff_etal-2010.pdf

• 30. CES_D2.4_solar_CMIP3

  the A1B scenario. In the panels for winter and autumn, contour interval is 25 MJ m−2, in those for spring and summer 50 MJ m−2. The colour scale is the same in all panels. Fig. A5. The absolute insolation change under the A2 scenario. 11 Fig. A6. The absolute insolation change under the B1 scenario. 12 (B) TIME SERIES Fig. A7 shows the time series of seasonal changes in incident radiation /media/ces/CES_D2.4_solar_CMIP3.pdf