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  • 21. BIGR_windrose_2005-2014

    28 21 23 17 12 11 11 7 10 11 12 27 38 48 26 14 12 18 12 5 7 8 18 20 29 Wind rose BIGR April 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 1 2 3 4 5 6 7 8 9 Frequency of wind direction (%) Aerodrome Total observations: 694 Calm: 1.7% Variable winds: 0.29% Average wind speed for wind direction Wind /media/vedur/BIGR_windrose_2005-2014.pdf
  • 22. BIHN_windrose_2005-2014

    9 3 2 2 7 1 6 8 6 12 9 13 2 15 8 Wind rose BIHN March 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 1 2 3 4 5 6 7 8 Frequency of wind direction (%) Aerodrome Total observations: 2200 Calm: 6% Variable winds: 0.73% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 5 /media/vedur/BIHN_windrose_2005-2014.pdf
  • 23. 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
  • 24. VI_2020_008

    by the Peak-over-Threshold with MLE applied on daily and 24-hour accumulated precipitation from the ICRA. ............................... 58 8 Glossary 1M5 – Daily or 24-hour precipitation return level with a 5-year return period AMSAnnual Maxima Series CCCloseness Coefficient CDOClimate Data Operator EVA – Extreme Value Analysis GP – Generalized Pareto ICRA – Icelandic /media/vedurstofan-utgafa-2020/VI_2020_008.pdf
  • 25. Bardarbunga_kafli20140825

    have not been located it is not clear whether eruptions on the central part of the system belong to a central volcano or the ice covered fissure swarm. Both cases will generate jökulhlaups from rapidly melting ice. All explosive eruptions originating below ice are therefore described together. 4 4.1 Bárðarbunga central volcano and adjacent ice covered fissure swarm 1. Phreatomagmatic /media/jar/Bardarbunga_kafli20140825.pdf
  • 26. BIAR_windrose_2005-2014

    1 8 1 7 1 9 4 1 7 5 21 5 27 2 32 5 48 9 68 4 82 1 Wind rose BIAR September 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 1 2 3 4 5 6 7 8 Frequency of wind direction (%) Aerodrome Total observations: 7233 Calm: 3.5% Variable winds: 8.7% Average wind speed for wind direction Wind direction (°) Wind /media/vedur/BIAR_windrose_2005-2014.pdf
  • 27. BIEG_windrose_2005-2014

    Wind rose BIEG 2005 − 2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 2 4 6 8 10 Frequency of wind direction (%) Aerodrome Total observations: 87865 Calm: 12% Variable winds: 3.4% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 2 4 6 8 10 0 45 90 135 180 225 270 315 360 N E S W /media/vedur/BIEG_windrose_2005-2014.pdf
  • 28. IMO_AnnualReport2014

    used to produce probabilistic hazard maps for SO2 concentration at ground. The maps have been produced using a wind statistics based on 10 years. The final prod- ucts have been adopted by the Civil Protection for the definition of the restricted area around the eruption site. Baldur Bergsson, Árni Snorrason and Amy Donovan measuring gas at Holuhraun. Photo: Hermann Arngrímsson. Bárðarbunga /media/vedurstofan/utgafa/skyrslur/2015/IMO_AnnualReport2014.pdf
  • 29. Water_resources_man_Veijalainen_etal

    range 90% 93.1593.29 93.2793.36 75.43–75.56 94.5994.71 2040–2069 range 90% 93.0993.31 93.2893.40 75.41–75.56 94.7294.83 2070–2099 range 90% 93.0293.32 93.2493.43 75.38–75.61 94.7994.91 Lowest water level (in the 30 year period) (m) Reference period 92.86 92.72 75.20 94.27 2010–2039 range 90% 92.6292.91 92.9693.13 75.24–75.33 94.4794.59 2040–2069 range 90% 92.5592.82 92.8893.12 75.19 /media/ces/Water_resources_man_Veijalainen_etal.pdf
  • 30. Lorenzoni_Pidgeon_2006

    for people to conceptualise and to relate to their daily activities, arguably because it cannot be easily translated into the language of popular culture (Ungar, 2000; see also mental models of cli- mate change by Bostrom et al., 1994; Kempton, 1997; discussed later). Secondly, the various datasets available detailing public opinions and attitudes on climate PUBLIC VIEWS ON CLIMATE CHANGE: EUROPEAN /media/loftslag/Lorenzoni_Pidgeon_2006.pdf

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