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Results:

• 51. CES_D2.4_task2_CMIP3_winds

  in the average wind speed between the baseline (or control) period 1971-2000 and the scenario period 2046-2065. These periods were chosen based on the availability of model output at daily time resolution. We have analyzed the surface geostrophic wind (hereafter Vg) rather than the actual simulated surface winds, because the latter are sensitive to the details of the boundary layer /media/ces/CES_D2.4_task2_CMIP3_winds.pdf

• 52. Cradden_Lucy_CES_2010

  superimpose both heating and cooling effects, i.e., – wind = cooling – temperature, solar radiation = heating June 2010 5 • Limit to how much heat the wire can be exposed to • Amount of allowable current based on ambient conditions is known as ‘rating’ Network capacity (ampacity) Too much heat causes ‘sag’ where minimum ground clearance is not achieved June 2010 6 How are ratings determined /media/ces/Cradden_Lucy_CES_2010.pdf

• 53. 2010_003rs

  ................ 91 Figure B.5. Rake distribution for mapped faults/clusters in boxes E and F, Brennisteinsfjöll-Bláfjöll. ................................................................................. 92 Figure B.6. Rake distribution for mapped faults/clusters in box G, Ölfus. ......................... 93 Figure B.7. Rake distribution for mapped faults/clusters in box H, Hengill, active between January /media/vedurstofan/utgafa/skyrslur/2010/2010_003rs.pdf

• 54. Hare-2011-ParticipatoryModelling

  are labelled according to the geographical area of application. Examples such as Zürich and Hase II have already been reviewed and categorized in Hare et al. (2003) and Bots and van Daalen (2008), respectively. The entire Iskar process, of which Iskar (Phase I) is a part, has been categorized by Barreteau et al. (2010). All are included in this review to provide alternative analytical perspectives /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 55. ces-oslo2010_proceedings

  change over the North Atlantic and in some simulations also for Iceland. In all areas, including the North Atlantic and Iceland, a clear climate change signal compared to the spread between the simulations is seen. The standard deviation calculated from 17 of the simulations are less than 1°C in all areas apart from Iceland where it reaches between 1 and 2°C and in parts of the Barents Sea where /media/ces/ces-oslo2010_proceedings.pdf

• 56. Moberg_Anders_CES_2010

  Past changes in climate and hydrology Anders Moberg Department of Physical Geography and Quaternary Geology Stockholm University Conference on Future Climate and Renewable Energy: Impacts, Risks and Adaptation Oslo, 31 May 2010 http://data.giss.nasa.gov/gistemp/ This year so far (Jan – Apr) ... Temperature anomaly (°C) from 1951-80 mean http://www.metoffice.gov.uk/climatechange/science /media/ces/Moberg_Anders_CES_2010.pdf

• 57. 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

• 58. 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

• 59. VI_2016_006_rs

  of 100–140 m a.s.l. Several debris flows are recorded in Búðará since the beginning of the 20th century. It is not clear whether the upper or lower area is the main source for these debris flows. The return time for sizeable debris flows in Búðará is around 20 years. It appears that the land- slide activity has been more frequent in the last 30 years than earlier in the 20th century. 4.5 Areas 7 /media/vedurstofan-utgafa-2016/VI_2016_006_rs.pdf

• 60. 2010_012rs

  ) closest stations, respectively. The 40 highest correlating events are then inverted for the best location. For comparison the manual locations, obtained by an analyst are shown in yellow. The final locations of the events are all within an approximately 1 km2 area, even though their original, automatic locations are up to 5 km away. They are also within a few hundred meters from the manual /media/vedurstofan/utgafa/skyrslur/2010/2010_012rs.pdf