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• 11. VAT_newsletter_2018_06

  mass balance in a warming climate but also due to calving (ice breaks of the front into lakes or sea) into Jökulsárlón lagoon. Calving currently causes about / of the mass loss of Breiðamerkurjökull. The large ice sheets of Antarctica and Greenland lose large amounts of ice by calving, and the rate of loss has intensied greatly in recent years.    Rapid melting of glacial ice /media/Eplicanámskeið/VAT_newsletter_2018_06.pdf

• 12. Case_B___Road_transport_operation_and_infrastructure_planning

  on the Shifts of climatic zones from cooler or wetter to warmer or drier (a) 1971-2000 (b) 2010-39 A1B observational data set (0.25º grid) from Haylock et al. (2008) (b-d) Based on CMIP3 GCM runs for A1B & the delta-change method (c) 2040-69 A1B (d) 2070-99 A1B Jylhä et al. (2010) Uncertainties in climate change schematically Observed climate Future climate Natural /media/loftslag/Case_B___Road_transport_operation_and_infrastructure_planning.pdf

• 13. Sea ice in October 2009

  was observed close to the mouth of Önundarfjörður. The Cost Guard went on ice-survey the 6th of October. They observed 14 icebergs west and northwest of Westfjords, and most of them were approximately 200 nm from the cost. The iceberg closest to shore was located 77 nm westnorthwest of Bjarg. In addition to a detailed map of the icebergs location, the Cost Guard issued as well infrared (IR) images /sea-ice/monthly/2009/nr/2332

• 14. VI_2020_008

  by the Peak-over-Threshold with MLE applied on daily and 24-hour accumulated precipitation from the ICRA. ............................... 58 8 Glossary 1M5 – Daily or 24-hour precipitation return level with a 5-year return period AMS – Annual Maxima Series CC – Closeness Coefficient CDO – Climate Data Operator EVA – Extreme Value Analysis GP – Generalized Pareto ICRA – Icelandic /media/vedurstofan-utgafa-2020/VI_2020_008.pdf

• 15. VI_2022_006_extreme

  77 91 109 Hraunaveita 132 116 136 159 117 140 169 Kvíslaveita 48 42 49 58 42 51 61 Sultartangi 66 57 68 80 58 69 84 Þingvallavatn 96 84 99 117 85 102 123 Þórisvatn 47 41 49 57 42 50 60 Tungnaá 76 67 79 92 67 80 98 Ufsarlón 104 92 108 126 93 112 134 36 Figure 19 – 1M5 maps for catchment Hálslón based on the ICRA dataset without projection (top left), with RCP 2.6 and 10th percentile /media/vedurstofan-utgafa-2022/VI_2022_006_extreme.pdf

• 16. Moellenkampetal_etal-2010

  Acteurs et Usages (UMR G-EAU), Cemagref, 4University of Architecture, Civil Engineering and Geodesy, 5Hornsby Shire Council, 6Lisode, 7UN-Water Decade Programme on Capacity Development (UNW-DPC), United Nations University, 8School of Natural and Rural Systems Management, University of Queensland, 9College of Asia and the Pacific, The Australian National University, 10Marine and Atmospheric Research /media/loftslag/Moellenkampetal_etal-2010.pdf

• 17. 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

• 18. 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

• 19. Flood in Grímsvötn

  is calculated to be around 5000 m3/s. This size of flood will most likley not affect the infastructure in the area such as roads or bridges. These forecasts are uncertain at this early stage. There are past examples of Grímsvötn eruptions starting following a flood. The loss of the water from Grímsvötn lake reduces the pressure on top of the volcano and this can allow an eruption to begin /about-imo/news/icesheet-in-grimsvotn-subsiding

• 20. Group3-Road-scenarios

  in asphalt, road maintenace Change: 30% more than BAU Socio-economic scenario Climate scenario Worst case (4.4 C increase; 17 % increase in prec) Best case (1.5 C increase; 2% increase in prec) BAU A B Change +30 % C D Spatial analogues: - regions which today have a similar climate to the expected future one the study region (IPCC TAR, 2001) - limited by possible lack /media/loftslag/Group3-Road-scenarios.pdf