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  • 41. VI_2009_012

    Distance corrected PGV. ......................... 14  Figure 3. Corrected magnitudes, Mw(v) plotted against log distance.. .................................. 17  Figure 4. Magnitude estimates as a function of Ci. ................................................................ 18  Figure 5. Observed/predicted PGV residuals for each station. .............................................. 20  Figure 6 /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_012.pdf
  • 42. aerodrome_summaries_20140603

    14 0 1 2 3 8 12 15 0 1 2 3 8 12 16 0 1 2 4 8 12 17 0 1 2 4 8 12 18 0 1 2 4 8 12 19 0 1 2 4 8 13 20 0 1 2 4 8 13 21 0 2 3 5 9 13 22 1 2 3 5 9 13 23 1 2 3 4 9 13 MEAN 1 2 2 4 8 13 10 AE R OD R OM E CLIM A T OLOGICA L SUMMA R Y - T ABL E D AE R OD R OME :BIK F - KEFL A VÍ K /K efl avi k PERIO D O F RECORD :2001–201 0 L A TITUDE :6 3 59’06" N LONGITUDE :2 2 36’20" W ELE V A TIO N AB O V E MSL :5 2 /media/vedur/aerodrome_summaries_20140603.pdf
  • 43. Keranen_Jaana_CES_2010

    tunnisteväriSeuraukset Scenario probability high ACT MONITOR Consequence probabi lity low after control methods PREPARE PREPARE Scenario probability low Consequence probabili ty high after control methods Likely Very unl ikely Very likely Virtuall y certain Unlikely V e r y l i k e l y L i k e l y V e r y u n l i k e l y Excepti onally unlikely = major consequences = moder ate consequences = minor /media/ces/Keranen_Jaana_CES_2010.pdf
  • 44. Outline_for_the_case_Road_maintenance_in_a_changing_climate

    course – Adaptive management in relation to climate change – Copenhagen 21-26/8/2011 …………………………………………………………………………………………………………………………………………………………………… 6 Figure 1. Flow chart summarizing information and decision flows of an adaptive management inspired adaptation planning cycle for road transport (at national strategic / tactical level) M a n d a t e f r o m g o v e r n m e n t + p r /media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf
  • 45. Hydropower - Glacier, Snow and Ice

    by remote sensing. Polar Research 2011, 7282, doi: 10.3402/polar.v30i0.7282 Guðmundsson, S., Björnsson, H., Jóhannesson, T., Aðalgeirsdóttir, G., Pálsson, F. & Sigurðsson, O. (2009). Similarities and differences in the response of two ice caps in Iceland to climate warming. Hydrology Research. 40(5), 495-502. Schuler, T. V., Crochet P., Hock R., Jackson M., Barstad I. & Jóhannesson, T. (2008 /ces/publications/nr/1940
  • 46. Warning due to violent storm

    Eiríksson Þorsteinn V. Jónsson News 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 /about-imo/news/nr/3255
  • 47. Öræfajökull : Recent research

    73–100Ásdís Helgadóttir, Emmanuel Pagneux, Matthew J. Roberts, Esther H. Jensen og Eiríkur GíslasonShort summaryChapter V. Öræfi district and Markarfljót outwash plain: Rating of flood hazards (pdf 2.35 Mb)Pages 101–122Emmanuel Pagneux og Matthew J. RobertsShort summaryChapter VI. Öræfi district and Markarfljót outwash plain: Spatio-temporal patterns in population exposure to volcanogenic floods /volcanoes/about-volcanoes/oraefajokull/new-research/
  • 48. ces_SA_group_flyer_new

    are being used to analyse the occurrence of dry spells, both from historical data and from climate scenario simulations. There is significant year-to-year variability in the pattern of rainfall, and this variability is assessed based on the range of values from individual years in the analysis. No change Increase Decrease 1 9 6 1 - 1 9 9 0 1 9 3 1 - 1 9 9 0 Photo by V. Kudryavskiy, LEGMA Regional /media/ces/ces_SA_group_flyer_new.pdf
  • 49. ces_flyer_glacierssnowandice

    )  Measured  1997  and  1999  ice  surfaces  of  Lang‐ jökull  and  Hofsjökull,  respectively.  c)  Steady‐state  glacier  geometries after a  few hundred year  spin‐up with  constant  mass balance forcing. Figure 3: Simulated response of Langjökull (L), Hofsjökull (H)  and southern Vatnajökull (V) to climate change. The inset  numbers are projected volumes relative to the initial stable  ice geometries /media/ces/ces_flyer_glacierssnowandice.pdf
  • 50. esa_flyer_new

    EA Analyse A/S and Optensys Energianalys will forecast energy system variables, while SINTEF Energy Research will make assumptions for the energy system in different cases, include new inputs in the EMPS model and carry out simulations. Cl i ma t e Sc e nar i os G ro u p R i s ø St o c h as t i c v a r i a b l e s Clima t e s c e n a r i o NV E S M H I FE I N o r w a y S w e d e n F inla n /media/ces/esa_flyer_new.pdf

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