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Results:

• 51. GA_2009_91A_4_Andreassen

  (alb: AWS) MODELLING LONG-TERM SUMMER AND WINTER BALANCES ? The authors 2009 Journal compilation ? 2009 Swedish Society for Anthropology and Geography 241 ed temperatures relative to –20°C to account for de-cay of snow albedo at temperatures below the melt-ing point, following a study by Winther (1993). Wetested both approaches, and chose to use –5°C asthe minimum for the accumulated temperature /media/ces/GA_2009_91A_4_Andreassen.pdf

• 52. 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

• 53. 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

• 54. Paper-Olafur-Rognvaldsson_91

  the opportunity to model river runoff and glacier mass balance both in the current climate and also in a hypothetical future climate based on the CE /VO climate change scenarios. The climate of Iceland is largely governed by the interaction of orography and extra-tropical cyclones, both of which can be described quite accurately by present day atmospheric models. As a result, dynamical downscaling /media/ces/Paper-Olafur-Rognvaldsson_91.pdf

• 55. CES_D2.4_VMGO

  the territories of European Russia (ER) and Europe (EU) an ensemble of 9 CMIP3 [1] comprehensive global (coupled atmosphere-ocean) climate models is used in this assessment (Table 1); so called A2 scenario is considered. Both A2 and A1B scenarios are similar in terms of resulting global mean warming up to the mid-21st century IPCC [2]. The projected changes in ER and EU in many cases continue /media/ces/CES_D2.4_VMGO.pdf

• 56. 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

• 57. ces-glacier-scaling-memo2009-01

  difference between the band and the maximum altitude of the glaciers ymax Dgi = ri gi ; ri = DSa2 (ymax yi) nj=1(ymax y j)g j : (12) The second step is carried out after the lowest glaciated elevation bands have been altered by the reduction in the glaciated area at the lowest altitudes. This procedure to distribute the reduction in glaciated area with altitude is clearly quite crude /media/ces/ces-glacier-scaling-memo2009-01.pdf

• 58. 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

• 59. IPPC-2007-ar4_syr

  Approximate CO2-eq concentrations corresponding to the computed radiative forcing due to anthropogenic GHGs and aerosols in 2100 (see p. 823 of the WGI TAR) for the SRES B1, AIT, B2, A1B, A2 and A1FI illustrative marker scenarios are about 600, 700, 800, 850, 1250 and 1550ppm, respectively. d) Temperature changes are expressed as the difference from the period 1980-1999. To express the change relative /media/loftslag/IPPC-2007-ar4_syr.pdf

• 60. News

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