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Results:

• 11. 2013_001_Nawri_et_al

  rather than from the data directly. This reduces the amount of data that needs to be disseminated to a few parameters, that describe each wind speed distribution. Of the various probability density functions for boundary-layer wind speeds, s, the 2-parameter Weibull distribution, f (s;A;k) = k A s A k 1 exp s A k ; (1) is the one most commonly employed for wind energy studies (Morgan /media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf

• 12. VED_AnnualReport-2013_screen

  and our intention is to run these models dur- ing times of hazardous events and even on a daily basis to further improve monitoring. Avalanche monitoring has progressed. The em- phasis is now on improving our services, especially to the Icelandic Road and Coastal Administration with regard to transport. The reason is that com- munity structure has changed considerably in recent years and the need /media/vedurstofan/utgafa/arsskyrslur/VED_AnnualReport-2013_screen.pdf

• 13. 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

• 14. 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

• 15. 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

• 16. VI_2015_005

  the two reanalyses exist primarily over Green- land, where the amplitude of the seasonal cycle in ERA-Interim is reduced, with up to 5 K higher temperatures than ERA-40 in winter, and up to 5 K lower temperatures in summer (not shown). Elsewhere, differences are small and unsystematic. As described by Simmons et al. (2006) and Berrisford et al. (2009), compared with ERA-40, sev- eral improvements /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf

• 17. VI_2020_005

  variability pattern on a decadal scale, mainly through wind and pressure forcing but also through steric effects (Dangendorf, Calafat, et al., 2014; Dangendorf, Wahl, et al., 2012; Madsen, 2009; K. Richter, Nilsen, and Drange, 2012; Yan, Tsimplis, and Woolf, 2004). Decadal sea level variability over open North Atlantic ocean, especially the Subpolar North Atlantic, in the satellite altimetry era /media/vedurstofan-utgafa-2020/VI_2020_005.pdf

• 18. Recent publications

  System Science Data 4, 121-127, doi:10.5194/essd-4-121-2012. Nikolai Nawri & K. Harstveit (2012). Variability of surface wind directions over Finnmark, Norway, and coupling to the larger-scale atmospheric circulation. Theoretical and Applied Climatology 107(1-2), 15-33, doi: 10.1007/s00704-011-0458-0. Árni Snorrason, Bergur Einarsson, Emmanuel Pagneux, Jórunn Harðardóttir, Matthew J. Roberts /about-imo/arctic/completed-projects/publications/

• 19. Dataseries and components

  Analysed components - IMO's research: Sulphur and salinity measurements: Precipitation: SO4-S, NO3-N, Cl, Na, Mg, K, Ca (mg/l) Precipitation: conductivity (µS/cm), quantity (mm), pH Aerosol: SO4-S, Cl, Na, Mg, K, Ca, Fe (µg/m3) Air: SO2-S (µg/m3) Heavy metals in precipitation: Pb, Cd, Cu, Zn, Cr, Ni, Fe, Mn, V, As, Al (ng/ml) Cl, NO3-N, SO4-S, Na, K, Ca, Mg, NH4-N, Br, F (µg/ml) conductivity (µS/cm /pollution-and-radiation/pollution/components/

• 20. Kok_2-scenarios-lecture-2

  Discussion on weighing factors might hamper the creative process. • Being concrete requires expert opinions. Especially when developing a FCM from scratch requires a high level of understanding of all participants. Further reading Kok, K. 2009. The potential of Fuzzy Cognitive Maps for semi-quantitative scenario development, with an example from Brazil. Global Environmental Change 19: 122-133 Van /media/loftslag/Kok_2-scenarios-lecture-2.pdf