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Results:

• 1. ice-chart_colour-code-standard

  the greatest concentration of the remaining classes (see also Note (2)) (2) Reporting of Sa, Sb and Sc should generally be restricted to a maximum of three significant classes. In exceptional cases, further classes can be reported as follows: So – stage of development of ice thicker than Sa but having a concentration of less than 1/10; Sd – stage of development of any other remaining class. (3 /media/hafis/frodleikur/ice-chart_colour-code-standard.pdf

• 2. Kjellstrom_Erik_CES_2010

  → detailed regional forcing head2right Greater number of explicitly resolved processes head2right Physically consistent Statistical downscaling (SD) head2right Empirical relationship between predictor at the GCM scale and predictand at the desired scale 0E 5E 10E 15E 20E 25E 30E 50N 55N 60N 65N 70N Increased resolution in RCMs can help Details in precipitation are improved: example /media/ces/Kjellstrom_Erik_CES_2010.pdf

• 3. ces-glacier-scaling-memo2009-01

  of the area and mean elevation for the ice-free and glaciated parts of each elevation band or grid cell. The areas are denoted by ai and gi, and the elevations by zi and yi, for the ice-free and the ice-covered areas, respectively. At the end of each hydrological year, the hydrological model will provide a simulated value for the total mass balance of each glacier group within the watershed, DVa /media/ces/ces-glacier-scaling-memo2009-01.pdf

• 4. Lawrence_Deborah_CES_2010

  
  
                                !  !   0 20 40 60 80 100 120 140 jan feb mar apr mai jun jul aug sep okt nov des m m / m å n e d 55550 Hafslo 60 80 100 120 140 jan feb ar apr ai j j l t m m / m å n e d 55550 Hafslo 54130 Lærdal Ensemble approach for probabilistic hydrological projections Catchment /media/ces/Lawrence_Deborah_CES_2010.pdf

• 5. VI_2014_001

  distribution and parameter estimation methods The Generalized Extreme Value (GEV) distribution (Jenkinson, 1955) is adopted to model the flood frequency distribution at each site, from the AMF series: Qi(D;T ) = ei + ai ki (1 [ ln(1 1=T )]ki) if ki 6= 0 ei ailn( ln(1 1=T )) if ki = 0 (6) where ei is the location parameter, ai is the scale parameter and ki is the shape parameter. The method of probability /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_001.pdf

• 6. Eriksson_Garvill_Nordlund_2006

  /media/loftslag/Eriksson_Garvill_Nordlund_2006.pdf

• 7. Keranen_Jaana_CES_2010

  nostaa, m utta oh ijuoksutu ksia tulee Sähkönvas tus kasvaa -> energ iahäv iö ita Muuntajien elinikä lyhenee Jääkannen m uodostaminen h idastuu Very likely, the probab ility that the next decade is warmer is 90% . Ilm iö 1 .1 – korkeammat läm pötilat etenkin talvella Skenario 1. Lä mpimäpi i lmasto O ma luokitteluOma luokit te lu Nykyiset t ai tuleva t varautumiskahdo llisuudet /media/ces/Keranen_Jaana_CES_2010.pdf

• 8. Kok_1-scenarios-lecture-1

  of complex interdependencies, the effort to solve one aspect may create other problems. Complex problem: A problem with many relationships between parts that give rise to collective behaviour of the system. Complex system approach A broad term encompassing a research approach to problems in many diverse disciplines including computer science, AI, biology, sociology, etc. Common elements /media/loftslag/Kok_1-scenarios-lecture-1.pdf

• 9. 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

• 10. VI_2015_007

  distribution and parameter estimation method The Generalized Extreme Value (GEV) distribution (Jenkinson, 1955) was adopted to model the flood frequency distribution from the AMF series: Qi(D;T ) = ei + ai ki (1 [ ln(1 1=T )]ki) if ki 6= 0 ei ailn( ln(1 1=T )) if ki = 0 (7) where ei is the location parameter, ai is the scale parameter and ki is the shape parameter. The method of probability weighted /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_007.pdf