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Results:

• 51. Group-1_Scenarios-for-AWM

  witnessed severe flood in 2006, when sea level rose to 1.76 m above normal. The extreme rainfall events will bring pressures to the local drainage system as well. This project is aiming to build scenarios for adaptive flood management in the coming 20 years for Horsens Fjord, based IPCC emission scenario A2. The climate situation is shown in Table 1. Two adaptive water management (AWM /media/loftslag/Group-1_Scenarios-for-AWM.pdf

• 52. VI_2015_009

  M A M J J A l ll l l l l l l l lll l l lll 0 100 200 300 60 0 80 0 100 0 Days since Sept. 1st Q (m ³/s ) vhm102 S O N D J F M A M J J A l l l ll l l l l l l l l l l l l l ll l l l l l l 0 100 200 300 30 40 50 60 70 Days since Sept. 1st Q (m ³/s ) vhm116 S O N D J F M A M J J A l l l l l l l l l l l l l l l l l l l l l l l l l l 0 100 200 300 20 0 30 0 40 0 50 0 Days since Sept. 1st Q (m ³/s /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf

• 53. programme2---PhD-Workshop-preceding-Adaptation-Research-Conference

  & 4 Y u a n g Z h e n g D e n m a r k F o r e s t r y & L a n d s c a p e 2 1 0 A t h a n a s i o s V o t s i s F i n l a n d U r b a n & r e g i o n a l p l a n n i n g 3 3 2 E i v i n d J u n k e r N o r w a y L a w 4 3 3 M i c h a e l L a i h o F i n l a n d E u r o p e a n s t u d i e s 5 2 0 H e c to r G u i n e a B a r r i e n to s S w e d e n N a t u r a l r e s o u /media/loftslag/programme2---PhD-Workshop-preceding-Adaptation-Research-Conference.pdf

• 54. VI2010-006_web

  490 þar af regn 5 1 3 4 10 27 32 33 32 27 6 4 185 þar af slydda 22 14 13 12 8 1 1 1 6 21 20 16 135 þar af snjór 29 27 27 13 1 0 0 0 1 9 28 32 169 Mest á dag (mm) 31 37 41 28 31 42 20 25 25 39 28 21 42 Fjöldi regndaga 2 2 2 2 5 10 12 12 11 9 3 2 75 Fjöldi snjó/slyddud. 14 12 15 10 4 1 0 0 2 8 13 16 96 Fjöldi úrkomudaga 17 14 16 12 10 11 12 13 14 17 16 18 171 Meðalhiti (◦C) −2.2 −1.5 −1.3 1.6 5.5 9.1 /media/vedurstofan/utgafa/skyrslur/2010/VI2010-006_web.pdf

• 55. Publications

  - gróðurhúsaáhrif. Lifandi vísindi, pp. 52-54. Snorrason, Á. (2002). Veður, vatn og orka. Presented at the Ársfundur Orkustofnunar 2003, Reykjavík, Mar 20. 31-39. [Extended abstract] Snorrason, Á. (2002). Veðurfar, vatn og orka. Presentation, Aðalfundur Jöklarannsóknafélags Íslands. Norræna húsið, Reykjavík, Iceland. Feb 26. [Presentation] Snorrason, Á. (2004). The International Hydrological /climatology/research/ce/publications/

• 56. Kok_1-scenarios-lecture-1

  .. But with caution Spatial scale Modifiable Areal Unit Problem (MAUP) Ecological fallacy: The mistake of assuming that where relationships are found among aggregate data, these relationships will also be found among individuals or households, or vice versa. Key concepts (from ecology) Forest cover Population density y = -20.1Ln(x) + 60 R2 = 0.84 0 20 40 60 80 100 0 5 10 15 Population density F o re /media/loftslag/Kok_1-scenarios-lecture-1.pdf

• 57. Recent publications

  Oddur Sigurðsson, Óðinn Þórarinsson, Philippe Crochet, Tómas Jóhannesson & Þorsteinn Þorsteinsson (2012). Floods in Iceland. In: Z. W. Kundzewicz (ed), Changes in Flood Risk in Europe. Oxfordshire: IAHS Special Publication 10, 257-276. Hálfdán Ágústsson & Haraldur Ólafsson (2012). The bimodal downslope windstorms at Kvisker. Meteorology and Atmospheric Physics 116(1-2), 27-42, doi:10.1007/s00703 /about-imo/arctic/completed-projects/publications/

• 58. Dyrrdal_Anita_CES_2010

  • Analyse future snow scenarios Introduction Data & Methods Results 0 50 100 150 200 250 300 350 400 450 0-100 100- 200 200- 300 300- 400 400- 500 500- 600 600- 700 700- 800 800- 900 900- 1000 1000- 1100 1100- 1200 1200- 1300 1300- 1400 1400- 1500 1500- 1600 1600- 1700 1700- 1800 1800- 1900 1900- 2000 2000- 2100 2100- 2200 Høyde (m o.h.) A n t a l l v æ r s t a s j o n e r Elevation of met.no /media/ces/Dyrrdal_Anita_CES_2010.pdf

• 59. Linnet_Ulfar_CES_2010

  HYDROPOWER IN ICELAND Impacts and adaption in future climate Authors Óli Grétar Blöndal Sveinsson (Phd) Úlfar Linnet (MSc) Elías B. Elíasson (MSc) Landsvirkjuns system •Installed power 1850 MW • 96 % Hydroelectricity • 4% Geothermal •Production capacity 13 TWh/a •Customer base • 86 % Large industries • 14 % Small businesses / Household •No connection to other countries •Reliability a major /media/ces/Linnet_Ulfar_CES_2010.pdf

• 60. Case_B___Road_transport_operation_and_infrastructure_planning

  ) Annual Winter Summer • Accounts for natural variability and differences between climate models Width of the distribution primarily determined by natural temperature variability: larger in winter than in summer. Winter Summer Annual Best estimate (ºC) 1.3 0.7 1.0 5-95% uncertainty range (ºC) -0.5…+3.1 -0.2…+1.6 0.0…+1.8 Probability of warming (%) 90% 90% 96% Ref: Räisänen and Ruokolainen (2007 /media/loftslag/Case_B___Road_transport_operation_and_infrastructure_planning.pdf