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• 11. aerodrome_summaries_20140603

  CLIMATOLOGICAL SUMMARY - TABLE A AERODROME: BIAR - AKUREYRI / Akureyri PERIOD OF RECORD: 2001–2010 LATITUDE: 65 39’31"N LONGITUDE: 18 04’20"W ELEVATION ABOVE MSL: 3 M (9FT) FREQUENCIES (PER CENT) OF THEOCCURRENCEOFRUNWAYVISUAL RANGE/VISIBILITY (BOTH IN METERS) OR HEIGHT OF THE BASE OF THE LOWEST CLOUD LAYER (IN FEET), OF BKN OR OVC EXTENT BELOW SPECIFIED VALUES AT SPECIFIED TIME ANNUAL VIS(m)/Hs(ft) TIME /media/vedur/aerodrome_summaries_20140603.pdf

• 12. Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management

  the body of knowledge in any given area by mapping out cause-and-effect relationships among key variables and encoding them with numbers that represent the extent to which one variable is likely to affect another (Jensen, 2002). Factors, associations and probabilities can be adjusted and validated and BNs are powerful for integrating data and knowledge from different sources and domains, e.g /media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf

• 13. Latest news on the eruption at Reykjanes peninsula

  the area and to follow instructions and advice as given by the local Police and Civil Protection authorities.Updated 8.8. at 13:00Gas pollution at the eruption site can at any time exceed danger levels. The eruptive plume follows the wind direction, and it is therefore safer to watch the eruption with the wind direction behind you, rather than towards you.In calm/light wind (<5 m/s) gas can /about-imo/news/a-new-eruption-has-started-at-fagradalsfjall

• 14. Traffc-maintenance_expenditures

  229 1 587 160 1970 18 591 42 413 2 166 86 101 - 892 5 131 2 310 201 - - - 157 805 1 652 904 1969 17 559 38 840 2 313 93 776 - 922 4 562 1 571 - - - - 159 543 1 832 354 1968 13 474 36 376 3 074 104 519 - 1 080 4 131 1 156 - - - - 163 811 1 964 368 1967 11 139 34 495 5 940 95 857 - 419 3 032 1 087 - - - - 151 968 1 936 249 1966 9 835 32 581 8 349 94 777 - 587 4 205 1 743 - - - - 152 077 2 032 936 /media/loftslag/Traffc-maintenance_expenditures.pdf

• 15. CES_D2_2_poster_3x3

  (median) changes from the model-based hindcast. Bottom: the location of the observed change within the hindcast probability distribution. Blue (red) shading indicates areas where the observed change was above the 95th percentile (below the 5th percentile) of the hindcast distribution. These maps show that there was no detailed agreement between the best-estimate precipitation change hindcast /media/ces/CES_D2_2_poster_3x3.pdf

• 16. Daniell_etal-2010

  and evaluating impacts (see also Swallow et al. 2001, van Ast and Boot 2003). METHODS AND DATA This article is based on empirical data that originated from the analysis of the participatory exercise in the Dhuenn basin. The strong involvement of researchers from two research projects (NeWater[1] and ACER[2]) linked by a joint case study led to the variety of sources available for exploration, including /media/loftslag/Daniell_etal-2010.pdf

• 17. FMI_-_Disaster_Mitigation

  Disaster Mitigation Kevin M. Simmons, Ph.D. Austin College Fulbright Research Scholar International Centre for Geohazards Oslo, Norway Economic and Societal Impacts of Tornadoes By Kevin M. Simmons and Daniel Sutter © 2010, 296 pages in paperback ISBN: 978-1-878220-99-8 AVAILABLE NOVEMBER 2010 from the American Meteorological Society and the University of Chicago Press Research Agenda /media/loftslag/FMI_-_Disaster_Mitigation.pdf

• 18. Tornado_Impacts_-_FMI_Presentation

  The Economic and Societal Impacts of Tornadoes Kevin M. Simmons Austin College Fulbright Research Scholar International Centre for GeoHazards Oslo, Norway Economic and Societal Impacts of Tornadoes By Kevin M. Simmons and Daniel Sutter © 2010, 296 pages in paperback ISBN: 978-1-878220-99-8 AVAILABLE NOVEMBER 2010 from the American Meteorological Society and the University of Chicago Press /media/loftslag/Tornado_Impacts_-_FMI_Presentation.pdf

• 19. Keranen_Jaana_CES_2010

  tance ◊ energy losses hot w e ather decre ase s the lifetim e of tra nsform ers increas ing w ater capa city V ery like ly, the pro bability tha t the next decad e is w arm er is 90%. Phe nom ena 1.1 - higher te m peratures, espe cially during winter Sc en ario 1. war mer clim ate Conseque nce categ ory acc ording to own ra nking Lik elihood according to own rank in g Th e op /media/ces/Keranen_Jaana_CES_2010.pdf

• 20. Isskyrsla_20100407

  N66°44.92' W025°08.94' 79. N66°45.01' W025°08.50' 80. N66°46.32' W025°10.27' 81. N66°46.73' W025°07.19' 82. N66°46.01' W025°04.86' 83. N66°46.22' W025°04.33' 84. N66°47.12' W025°06.45' 85. N66°47.26' W025°04.36' 86. N66°48.44' W025°03.60' 87. N66°49.10' W025°04.45' 88. N66°51.68' W025°03.27' 89. N66°53.36' W024°59.25' 90. N66°55.39' W024°58.89' 91. N66°55.82' W024°58.13' 92. N66°56.15' W025°01.15 /media/hafis/skyrslur_lhg/Isskyrsla_20100407.pdf