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Results:

• 1. Traffc-maintenance_expenditures

  Manage- Basic Purchase Road Road net- Const- Acquisi- Govern- Com- Participati- Value Miscel- Total 2009 ment and road of equip- system work post- ruction tion of ment missi- on of the added laneous cost operating manage- ment develop- poned-, of land grants ons European tax over- level costs ment ment comprehen- build- and com- Regional De- heads 1991- 1991- sive- and ings pensation /media/loftslag/Traffc-maintenance_expenditures.pdf

• 2. Reykholt-abstracts

  /media/vatnafar/joklar/Reykholt-abstracts.pdf

• 3. Refsgaard_1-Welcome

  Organisers NONAM •Finnish Meteorological Institute, FMI (Adriaan Perrels) •Geological Survey of Denmark and Greenland, GEUS (Jens Christian Refsgaard and Hans Jørgen Henriksen) •Icelandic Meteorological Office, IMO (Sigrún Karlsdóttir) FIVA - International Research School of Water Resources •University of Copenhagen, KU (Frederik Uldall) Course objectives • To introduce students to the concept /media/loftslag/Refsgaard_1-Welcome.pdf

• 4. VI_2015_006

  ....................................................................................... 10 3 September 2012 .................................................................................. 12 3 Radiation fluxes at the surface ....................................................................... 16 4 Heat fluxes at the surface .............................................................................. 21 5 Net energy /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_006.pdf

• 5. GA_2009_91A_4_Andreassen

  ). Meteorological observations carried out on Storbreen in the summer of 1955 (Liestøl1967) revealed that net radiation is the most impor-tant contributor to the ablation at Storbreen. An au-tomatic weather station (AWS) has bee operatedin the ablation zone of Storbreen since September2001 providing a near-continuous series of meteor- ology and surface energy balance data. Analysis ofthe first five years /media/ces/GA_2009_91A_4_Andreassen.pdf

• 6. vanRoosmalen_etal-2009-WRR_2007WR006760

  with 20% and 2% for the HIRHAM experiments using HadAM3H and with 30% and 7% for the ECHAM- driven experiments for Middle Europe and Scandinavia, respectively. [18] RCM output is not available for the entire period 1961–2100 because transient RCM simulations are com- putationally very demanding. Instead two 30-year time slices are available; one representative for the climate in the period 1961–1990 /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf

• 7. IPPC-2007-ar4_syr

  (-33%) during 1970 to 2004 has been smaller than the com- bined effect of global income growth (77%) and global population growth (69%); both drivers of increasing energy-related CO2 emis- sions. The long-term trend of declining CO2 emissions per unit of en- ergy supplied reversed after 2000. {WGIII 1.3, Figure SPM.2, SPM} Differences in per capita income, per capita emissions and energy /media/loftslag/IPPC-2007-ar4_syr.pdf

• 8. Keranen_Jaana_CES_2010

  ilmiö W inter Sprin g SummerA utumn Kosteus Lauha t talve t Talvitulvat Jäätävä sade Hyyde Kova tuu li … Aikaisempi kevät ja tu lvat Ku ivuus Ku ivuvat vesiva rastot … Ku ivuus Rankkasa teet sa lamointi Rakeet … Myrskyt Rankkasateet Rou ta Jääkannen muodostaminen … yli y €yli y €Merkittävät3 x - y €x – y €Keskinkertaiset2 alle x €alle x €Vähäiset1 Mahdollisuuden tunnisteväriRiskin /media/ces/Keranen_Jaana_CES_2010.pdf

• 9. Machguth_Horst_CES_2010

  experiments with different RCM’s • explore RCM biases • apply a different mass balance model data 2 RCM’s • HIRHAM4, Scenario A1B, 25 km, 1950-2100, Greenland • RCAO, Scenario A1B, 50 km, 1960-2100, Pan-Arctic 4 Weather Stations (Ta, Sin) • GC-Net Swiss Camp: 1150 m a.s.l. (1995 – 2006) • GC-Net Crawford: 2020 m a.s.l. (1995 – 2006) • Asiaq Station 437: 300 m a.s.l. (1983 – 2006) • DMI Illulisat /media/ces/Machguth_Horst_CES_2010.pdf

• 10. Adalgeirsdottir-etal-tc-5-961-2011

  (DGPS) equipment in 2001. Continuous profiles, approximately 1 km apart, were measured in the accumulation zone and a dense net- work of point measurements were carried out in the abla- tion zone. Digital Elevation Models (DEMs) of the surface and bedrock were created from these data (Fig. 2; Björns- son and Pálsson, 2004). The estimated errors are at most 1–5 m (bias less than 1 m) for the surface /media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf