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  • 51. Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change

    at the operational/local level. A calibrated approach (standardized questionnaires and interviews, expert judgment, and reinterpretation of out- comes by means of relevant literature) was used to com- pare the state of affairs in water management in the selected case-studies. Adaptive and integrated water management Given the expected increase of climate-related extreme events, water governance capabilities /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf
  • 52. esa_flyer_new

    EA Analyse A/S and Optensys Energianalys will forecast energy system variables, while SINTEF Energy Research will make assumptions for the energy system in different cases, include new inputs in the EMPS model and carry out simulations. Cl i ma t e Sc e nar i os G ro u p R i s ø St o c h as t i c v a r i a b l e s Clima t e s c e n a r i o NV E S M H I FE I N o r w a y S w e d e n F inla n /media/ces/esa_flyer_new.pdf
  • 53. VI_2015_005

    This is also the case with cyclones in all three sectors. Cyclones in the eastern or western sector are also strongly affected by the presence of central cyclones. In both sectors, cyclones tend to move east, unless there are cyclones in the neighbouring sector, in which case pressure tendencies are reversed. 21 Figure 10. Composite mean temporal MSLP tendencies, for different MSLP modes. Com- posite mean /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf
  • 54. VI_2015_009

    by rescaling a dimensionless regional flood frequency distribution or growth curve, qR(D;T ), com- mon to all sites of the homogeneous region, with the so-called index flood, µi(D), of the target site: bQi(D;T ) = µi(D)qR(D;T ); (1) where bQi(D;T ) is the estimated flood quantile, i.e. the T -year flood peak discharge averaged over duration D, at site i. The regional growth curve, qR(D;T /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf
  • 55. Kok_JGEC658_2009

    to be simple and therefore has important drawbacks. Future improvements should be made in the light of applications within a larger toolbox of scenario methods.  2008 Elsevier Ltd. All rights reserved. * Tel.: +31 317 482422; fax: +31 317 419000. E-mail address: kasper.kok@wur.nl. Contents lists available at ScienceDirect Global Environmental Change journa l homepage: www.e lsev ier .com/ locate /media/loftslag/Kok_JGEC658_2009.pdf
  • 56. 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
  • 57. 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
  • 58. VanderKeur_etal-2008-Uncertainty_IWRM-WARM

    h stat us an d goal s Locat io n — u n ce rta in tie s re la te d to So urc e o fun certaint y Natur e (1)/typ e(2 )o f u n ce rta in ty Co mment s R hin e at (su b-) catch m en tleve l W at er re so u rc es issu es Id en tif ica tio n an d pr io rit y settin g o fu rge nt wat er re so u rc es pr ob le m s; co n fli ct in g in te re sts amon g sector s an d stakeh older s M ul tip le fra m es (so /media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf
  • 59. The design of avalanche protection dams

    be ordered at the EU Bookshop and it can be accessed on the web both as PDF suitable for the screen (1.5 Mb) and in higher resolution suitable for printing (27.9 Mb). Edited by T. Jóhannesson of the Icelandic Meteorological Office and by P. Gauer, P. Issler and K. Lied of the Norwegian Geotechnical Institute. Contributions by M. Barbolini, U. Domaas, T. Faug, P. Gauer, K. M. Hákonardóttir, C. B /about-imo/news/nr/1631
  • 60. Information Management

    are time and location dependant variables from models. It is suggested to u se the NetCF standard since it is becoming the de facto standard for storing outputs of atmospheric, ocean and climate models (http://cf-pcmdi.llnl.gov/documents/white-papers/cf2_whitepaper_final.pdf). The standard consists of metadata that provide a description of what the data in each variable represents, and of the spatial /ces/project/information/

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