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Results:

• 11. Eyjafjallajokull_status_2010-05-07_IES_IMO

  recorded at 5-13 km depth, but fewer than yesterday. GPS deformation: Measurements from around Eyjafjallajökull indicate no major net discplaceaments, suggesting a stabilization of the surface deformation since yesterday. Other remarks: Grainsize analysis of samples taken of ash that fell on May 3rd at 64 km distance from the eruption site shows that about 5 % of the ash is smaller /media/jar/Eyjafjallajokull_status_2010-05-07_IES_IMO.pdf

• 12. James-Smith_Edward_CES_2010

  opportunity evaluation Case studies NOE Net SEAS-NVE Findings of case studies • Distribution companies generally well equipped for climate change – Cabling of all overhead lines well under way – Distribution boxes in areas with increased risk of flooding are elevated already – Salt spray further inland is becoming an increasing problem for substations and transformers Cabling in Denmark /media/ces/James-Smith_Edward_CES_2010.pdf

• 13. ces_geus_paakitsoq_full_report

  ) is shown. At the margin the grid boxes of the RCAO RCM are visible. The area between Illulisat and Swiss camp is commonly called Paakitsôq. respectively. The Automatic Weather Stations (AWS) Swiss Camp and Crawford are located on the ice sheet and are operated by the Greenland Climate Network (GC-net) (Steffen and Box, 2001). The locations of the stations are indicated in Fig. 1, further details /media/ces/ces_geus_paakitsoq_full_report.pdf

• 14. Latest news on the eruption at Reykjanes peninsula

  /about-imo/news/a-new-eruption-has-started-at-fagradalsfjall

• 15. Perrels-CBA

  operational cost, etc.) and the annual revenues • consider an appropriate discount rate and assess NPV (net present value), IRR (internal rate of return), and net cash flows • rank alternatives by score level • SCBA: social CBA – total benefits -/- total costs for society, in this case benefits and costs often don’t accrue (entirely) to the same organisation due to the public nature of a project /media/loftslag/Perrels-CBA.pdf

• 16. Journal_of_Hydrology_Veijalainen_etal

  precipitation and time of year (an index for available net radiation) (Vehviläinen and Huttunen, 1997). This equation has been calibrated and verified against observations of Class A pan evaporation values (Vehviläinen and Huttunen, 1997). The actual evaporation is calculated from potential evapora- tion and the soil moisture deficit. The changes in temperature and precipitation affect /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf

• 17. CES_D2_2_poster_3x3

  CMIP3 Multimodel Dataset: A New Era in Climate Change Research. Bulletin of the Americal Meteorological Society, 88, 1383-1394. Naki enovi , N. and R. Swart (Eds.) 2000: Emission Scenarios. A Special Report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press, 599 pp. Räisänen, J. and L. Ruokolainen 2006: Probabilistic forecasts of near-term climate /media/ces/CES_D2_2_poster_3x3.pdf

• 18. VI_Arsskyrsla_2018_vef

  grundvelli myndatöku með flygildum og leysimælitæki (TLS) hefur verið notað við kortlagningu flóðfara og við mat á útbreiðslu og umfangi hlaupa. Þétt net jarðskjálftamæla, sem staðsettir eru á jökulskerjum eða grafnir í jökul, hefur gefið góða raun við ákvörðun á dýpi jarðskjálfta undir jöklum. Kvikuhreyfingar hafa þannig verið kortlagðar og myndun gosrása staðfest af meiri nákvæmni en áður. Þó /media/vedurstofan/utgafa/arsskyrslur/VI_Arsskyrsla_2018_vef.pdf

• 19. Isskyrsla_20100407

  N66°44.92' W025°08.94' 79. N66°45.01' W025°08.50' 80. N66°46.32' W025°10.27' 81. N66°46.73' W025°07.19' 82. N66°46.01' W025°04.86' 83. N66°46.22' W025°04.33' 84. N66°47.12' W025°06.45' 85. N66°47.26' W025°04.36' 86. N66°48.44' W025°03.60' 87. N66°49.10' W025°04.45' 88. N66°51.68' W025°03.27' 89. N66°53.36' W024°59.25' 90. N66°55.39' W024°58.89' 91. N66°55.82' W024°58.13' 92. N66°56.15' W025°01.15 /media/hafis/skyrslur_lhg/Isskyrsla_20100407.pdf

• 20. CES_D2.4_VMGO

  size. References 1. Meehl, G.A., C. Covey, T. Delworth, M. Latif, B. McAvaney, J.F.B. Mitchell, R.J. Stouffer and K.E. Taylor, 2007: The WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research, BAMS, 88, 1383-1394, DOI: 10.1175/BAMS-88-9-1383. 2. Naki �enovi � N., J. Alcamo, G. Davis, B. de Vries, J Fenhann, S. Gaffin, K. Gregory, A.Grübler, T.Y. Jung, T. Kram, E.L. La Rovere /media/ces/CES_D2.4_VMGO.pdf