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Results:

• 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. Windspeed

  Baldur Ragnarsson 29.4.2008 Windspeed conversions The Icelandic Meteorological Office uses the SI (Systeme Internationale d´Unites) unit metres per second (m/s) in windspeed measurements. Here you can convert between different units of windspeed. Type a number into a textbox below and then click outside it. Please note that Beaufort-values are between 0 and 12. Beaufort /weather/articles/nr/1283

• 4. Windspeed

  Baldur Ragnarsson 29.4.2008 Windspeed conversions The Icelandic Meteorological Office uses the SI (Systeme Internationale d´Unites) unit metres per second (m/s) in windspeed measurements. Here you can convert between different units of windspeed. Type a number into a textbox below and then click outside it. Please note that Beaufort-values are between 0 and 12. Beaufort /weather/articles/nr/1283/

• 5. 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

• 6. Jokull-guidlines

  mm and the distance between lines not less than 0.2 mm. Foldouts can only be accepted in exceptional cases. All illustrations should be identified lightly with a pencil on the back with the name of the author and the figure number. Formulae and algebraic symbols should be indicated clearly. Equations should be numbered sequentially. Numbers in brackets can refer to formulae /media/jar/Jokull-guidlines.pdf

• 7. Refsgaard_2-uncertainty

  Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec ARPEGE-CNRM ARPEGE-DMI BCM-DMI BCM-SMHI ECHAM-DMI ECHAM-ICPT ECHAM-KNMI ECHAM-SMHI Lauren P Seaby PhD project www.hyacints.dk Preliminary results Data from 8 climate models in the ENSEMBLES project (A1B) Future climate Down scaling Bias correction Global 100-250 km Scale Regional 10-25 km Hydrological 50-500 m Present climate Climate change /media/loftslag/Refsgaard_2-uncertainty.pdf

• 8. Notes on the 2010 eruptions

  the crater, supported by lower plume (2-4 km) according to radar. MODIS satellite image shows both ash from the volcanic site and loose ash blown from the surface of Mýrdalsjökull ice cap. Comments on sound blasts, viscosity, deflation and tremors. Link to satellite image RADARSAT-2 (from the Canadian Space Agency), link to a briefing issued by WMO of frequently asked questions. 25.04.2010 – 28.05.2010 /earthquakes-and-volcanism/articles/nr/2467

• 9. 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

• 10. 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