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  • 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. Linnet_Ulfar_CES_2010

    °C/100y 1975-2000 • 2.35 °C/100y 2000- •Change in precipitation • Average increase 4.8% / 100 y • Range 3.3 – 7.2 % •Glaciers • Results from CES • 25% decrease in volume from 2000 to 2050 Temperature transformation Com parison of series 10000 12000 14000 16000 18000 20000 22000 1 9 5 0 1 9 5 2 1 9 5 4 1 9 5 6 1 9 5 8 1 9 6 0 1 9 6 2 1 9 6 4 1 9 6 6 1 9 6 8 1 9 7 0 1 9 7 2 1 9 7 4 1 9 7 6 1 9 7 8 1 /media/ces/Linnet_Ulfar_CES_2010.pdf
  • 3. ECONOMIC_EFFECTS_OF_CLIMATE_CHANGE_ON_THE_TOURISM_SECTOR_IN_SPAIN

    /lexuriserv/lexuriserv.do?uri=com:2007:0002:FIN:EN:PDF, 13 April 2009. [2] WTO, World Tourism Organization (2008): “Climate Change and Tourism - Responding to Global Challenges”, UNWTO, 9 July 2008, Madrid, Spain. Available at: http://www.unwto.org/media/news/en/press_det.php?id=1411&idioma=E, 7 March 2010. [3] Mooney, J.E. y Miller, M.L. (2009): “Climate change: Creating demand for sustainable /media/loftslag/ECONOMIC_EFFECTS_OF_CLIMATE_CHANGE_ON_THE_TOURISM_SECTOR_IN_SPAIN.pdf
  • 4. 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
  • 5. VI_2014_005

    and direction, as well as air temperature, from the IMO operational surface station net- work. Most anemometers are installed at 10 m above ground level (mAGL). However, at some stations, surface winds are measured at different heights, h, varying between 4.0 and 18.3 m. 3This is done using a GRIB-API command on Parameter 141 (snow depth) in the earliest boundary data file: grib_set -f -d 0.0 -w /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf
  • 6. Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management

    in the data used in making the decision and the factors are interlinked, all of which makes the problem highly complex. The part of the net defined by variables and links is relatively easily communicated to stakeholders (Henriksen et al., 2007b). However the tal Management 88 (2008) 1025–1036 quantitative part, with the conditional probability tables (CPTs), the numbers, is the step where /media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf
  • 7. VI_2020_005

  • 8. Journal_of_Hydrology_Veijalainen_etal

    ; fax: +358 20 490 2590. E-mail address: Noora.Veijalainen@ymparisto.fi (N. Veijalainen). Journal of Hydrology 391 (2010) 333–350 Contents lists available at ScienceDirect Journal of Hydrology journal homepage: www.elsevier .com/ locate / jhydrol Author's personal copy narios from GCMs or RCMs, and with different emission scenarios (e.g. Menzel et al., 2006; Minville et al., 2008; Prudhomme and Da /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf
  • 9. 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
  • 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

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