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  • 21. Hare-2011-ParticipatoryModelling

    Dispatch: 02.08.11 CE: E E T 5 9 0 No. of Pages: 19 ME: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 Another possible driving force behind its popularity is changing legislation requiring environmental managers and policy-makers to increase stakeholder participation in their work [e.g /media/loftslag/Hare-2011-ParticipatoryModelling.pdf
  • 22. 2010_005_

    Björnsson, Icelandic Meteorological Office   Contents 1 Introduction 9 2 Data and Methodology 11 3 Spatial Variability of Climate Trends 13 3.1 Surface Air Temperature . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 3.2 Total Precipitation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 4 Long-Term Trends of Annual Mean Values 16 4.1 Surface Air /media/ces/2010_005_.pdf
  • 23. VI_2015_005

    Office Contents 1 Introduction ................................................................................................ 7 2 Data ........................................................................................................... 8 3 Atmospheric variability connected to pressure changes ..................................... 11 4 Identification of cyclone centres /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf
  • 24. 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
  • 25. VI_2019_009

    .............................................................. 10 3 Processing ................................................................................................... 12 4 Data Comparison ......................................................................................... 14 4.1 Bolungarvík.......................................................................................... 14 4.2 Höfn í Hornafirði /media/vedurstofan-utgafa-2019/VI_2019_009.pdf
  • 26. 2013_001_Nawri_et_al

    Office Halldór Björnsson, Icelandic Met Office Kristján Jónasson, University of Iceland 4 Contents 1 Introduction 9 2 Spatial and temporal variability of low-level wind 11 3 Methodology 13 3.1 Wind modelling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 3.2 Weibull statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.3 Density /media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf
  • 27. Lorenzoni_Pidgeon_2006

    level, surveys commissioned by the European Com- munity/the European Union provide an indication of trends in concern about cli- mate change. Since 1992, such surveys have been undertaken among representative samples of citizens in its Member States, and specifically on topics related to the environment (Special Eurobarometers (EB) in 1992, 1995, 2002; and a Flash EB in 2002). These have included /media/loftslag/Lorenzoni_Pidgeon_2006.pdf
  • 28. Reykholt-abstracts

    ............................................................................................................... 33 Lidar measurements of the cryosphere Reykholt, Iceland, June 20–21, 2013 3 CryoSat-2 Arctic sea-ice freeboard and thickness data product and its validation Ciaran Robb, Ian Willis and Neil Arnold ............................................................................ 34 Using airborne remote /media/vatnafar/joklar/Reykholt-abstracts.pdf
  • 29. VI_2016_006_rs

    ............................................................. 12 3 Landslide history ......................................................................................... 17 3.1 Historical landslides ............................................................................... 17 3.2 Prehistoric landslides .............................................................................. 19 4 Potential starting areas for landslides and debris /media/vedurstofan-utgafa-2016/VI_2016_006_rs.pdf
  • 30. VI_2013_008

    systematically underestimated. The bias is not as pronounced for the non glacial rivers. Com- bining synoptic-scale and basin-scale predictors (method 3) leads to a substantial improvement compared to the use of MSLP fields alone (method 1). Analogue forecasts become similar or better than persistence, depending on catchment and lead time. Usually, persistence performs better for T=1 day and then method 3 /media/vedurstofan/utgafa/skyrslur/2013/VI_2013_008.pdf

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