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  • 61. Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication

    RM, Capraro MM (2002) Myers-Briggs Type Indicator score reliability across studies: a meta-analytic reliability generalization study. Educ Psychol Meas 62:590–602 Carlson JG (1985) Recent assessments of the Myers-Briggs Type Indicator. J Personal Assess 49:356–365 Carlyn M (1977) An assessment of the Myers-Briggs Type Indicator. J Personal Assess 41:461–473 Clack GB, Allen J, Cooper D et al (2004 /media/loftslag/Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication.pdf
  • 62. NONAM_1st_workshop_summary_v3

    ; in particular Chapter 4). 7 Seppo Saarelainen & Lasse Makkonen: Adaptation to climate change in the road management – Pre-study. Helsinki 2007. 8 The Finnish Road Administration (Finnra) (2009), The effect of climate change on the routine and periodic maintenance of roads, Finnra report 8/2009, (in Finnish, abstract in English). 9 Salanne, i., Byring, B., Valli, R., Tikkanen, R., Peltonen, P /media/vedurstofan/NONAM_1st_workshop_summary_v3.pdf
  • 63. Kok_2-scenarios-lecture-2

    extreem events C6; qual nat. systems C7; policies C8; price of resources C9; other sectors C10; industry C11; inrastructure Crimea - Ukraine Manaus - Brazil From FCM to model input FCM – strong points • Easy to develop and apply. The approach is highly intuitive, it can quickly be explained and applied to any new situation. • High level of integration. A FCM can contain any type of information /media/loftslag/Kok_2-scenarios-lecture-2.pdf
  • 64. 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
  • 65. 2005EO260001

    ) by fossil fuel burning and land-use change. As the terrestrial bio- sphere is an active player in the global carbon cycle, changes in land use feed back to the climate of the Earth through regulation of the content of atmospheric CO2, the most impor- tant greenhouse gas, and changing albedo (e.g., energy partitioning). Recently, the climate modeling community has started to develop more /media/jar/myndsafn/2005EO260001.pdf
  • 66. Refsgaard_etal-2007-Uncertainty-EMS

    The advantage of Monte Carlo analysis is its general appli- cability and that it does not impose many assumptions on prob- ability distributions and correlations and that it can be linked to any model code. The key limitation is the large run times for computationally intensive models and the huge amount of outputs that are not always straightforward to analyse. 4.8. Multiple model simulation Multiple model /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf
  • 67. VI_2009_006_tt

    lake in a volcanic caldera in the interior of the Vatnajökull ice cap (Björns- son, 1988). Jökulhlaups from Grímsvötn have been known since at least the fourteenth century (Þórarinsson, 1939, 1974). In the beginning of the twentieth century there were about ten years between outbursts but the floods diminished with time and became more frequent. After a catastrophic, rapidly rising flood caused /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf
  • 68. ces_geus_paakitsoq_full_report

    offsets between measurements and downscaled RCM fields at Crawford and Swiss Camp (1995-2006) are calculated. The offset-values are averaged over both stations and all years to obtain a correction value for each day of the year. Due 9 Figure 8: Mean annual accumulation distribution for the Paakitsôq area according to RCAO (Plot a) and HIRHAM4 (Plot b). to time constraints it was decided to calculate /media/ces/ces_geus_paakitsoq_full_report.pdf
  • 69. Kok_and_Veldkamp_editorial_ES-2011-4160

    agreement on use of terminology. Third, all scoping papers stress that there is no silver bullet solution, with a different view on both scale and governance being appropriate depending on the specific case. Buizer et al. (2011) are strongest on this view by presenting and discussing a framework. Termeer et al. (2010) confirm that there is no best governance approach, drawing an analogue /media/loftslag/Kok_and_Veldkamp_editorial_ES-2011-4160.pdf
  • 70. 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

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