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  • 1. programme2---PhD-Workshop-preceding-Adaptation-Research-Conference

    During the conference all of you are requested to act as rapporteur in two or three sessions. A preliminary allocation of rapporteur sessions has been made (see below), while accounting for your expertise in certain areas. Participants can suggest changes in the rapporteur session allocation, on the condition a convincing argumentation is provided as well as a confirmed alternative rapporteur /media/loftslag/programme2---PhD-Workshop-preceding-Adaptation-Research-Conference.pdf
  • 2. 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
  • 3. Refsgaard_1-Welcome

    – Print yourselves • Case descriptions and tasks/questions • Lecturers’ presentations – Handouts during the week – Pdfs will be uploaded at website afterwards Practicalities • PC login – Internet access • Printing • Lunch • Coffee – tea • Posters Monday afternoon + refreshments • Dinner Tuesday at 19:00 Students • Brief presentation round – now • 2-minutes presentation of research topics /media/loftslag/Refsgaard_1-Welcome.pdf
  • 4. Jens_Christian_Refsgaard_(GEUS,_Dk)

    Refsgaard JC, van der Sluijs JP, Højberg AL, Vanrolleghem PA (2010) Uncertainty analysis in model–based water management: Better modelling practices. In: Vanrolleghem PA, Modelling Aspects of Water Framework Directive Implementation Volume 1. IWA Publishing, London, UK, 271-331. van der Keur P, Henriksen HJ, Refsgaard JC, Brugnach M, Pahl-Wostl C, DeWulf A, Buiteveld H (2008) Identification /media/loftslag/Jens_Christian_Refsgaard_(GEUS,_Dk).pdf
  • 5. Karlsdottir-Risk_analysis_IMO_SK

    in animals  followed by death intoxicated grass Ash dispersion in the free atmosphere threat to aviation Natural Hazards – IMO’s Domestic Collaboration IMO Civil Protection Department – National Commissioner of the Icelandic Police Civil Aviation Authority ISAVIA – Air Navigation Service Provider Icelandic Maritime Administration Universities in Iceland Icelandic Road Authority Icelandic /media/loftslag/Karlsdottir-Risk_analysis_IMO_SK.pdf
  • 6. VI_2013_006

    stability, e.g. CAPE, in global numerical weather prediction models to mask out potential thunderstorm areas. Such a global system might be useful to monitor large areas of poorly monitored volcanoes, e.g. the chain of volcanoes in the Aleutian Islands, with its heavy air-traffic above. Conclusions An automatic monitoring system has been developed that estimates eruption site location based /media/vedurstofan/utgafa/skyrslur/2013/VI_2013_006.pdf
  • 7. 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
  • 8. 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
  • 9. 2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343

    e in relatio n to climat echang eadapt ation .X ,X X ,XX X is a ge n era lguid eo n th e relativ e imp ortanc e leve lo fth e sourc es , alth oug h it mus tb e em phasise d tha tth e imp ortanc e o fth e indi vidua lsou rce s o fun certaint y is co n tex tspe cifi c St ep si n cl im at e ch an ge ad ap tat io n an al ys es (ch ain in u n ce rta in ty ca sc ad e, Fi g. 2) So ur ce s o fu n ce rta /media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf
  • 10. Outline_for_the_case_Road_maintenance_in_a_changing_climate

    & Hautala, R. 2009. Benefits and value of meteorological information services – the case of the Finnish Meteorological Institute, Meteorological Applications, 16, pp. 369–379. Meyer, M.D., Amekudzi, A., O’Har, J.P. (2009), Transportation Asset Management Systems and Climate Change: An Adaptive Systems Management Approach, paper for Transportation Research Board 2010 Annual Meeting, CD-ROM /media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf

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