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  • 51. Fagradalsfjall eruption unusual in many ways compared to other eruptions

    deformation and seismicity preceding the eruption that began 19 March 2021. a) Model of deformation 24 February – 19 March, showing horizontal displacements as arrows and vertical displacements with a colour scale. The red line shows the location of the dyke and the broken black line shows the central axis of the plate boundary b) Hourly earthquake rate (blue) and cumulative number of earthquakes /about-imo/news/fagradalsfjall-eruption-unusual-in-many-ways-compared-to-other-eruptions
  • 52. Fagradalsfjall eruption unusual in many ways compared to other eruptions

    deformation and seismicity preceding the eruption that began 19 March 2021. a) Model of deformation 24 February – 19 March, showing horizontal displacements as arrows and vertical displacements with a colour scale. The red line shows the location of the dyke and the broken black line shows the central axis of the plate boundary b) Hourly earthquake rate (blue) and cumulative number of earthquakes /about-imo/news/fagradalsfjall-eruption-unusual-in-many-ways-compared-to-other-eruptions/
  • 53. Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change

    at the operational/local level. A calibrated approach (standardized questionnaires and interviews, expert judgment, and reinterpretation of out- comes by means of relevant literature) was used to com- pare the state of affairs in water management in the selected case-studies. Adaptive and integrated water management Given the expected increase of climate-related extreme events, water governance capabilities /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf
  • 54. 2011_005

    .................................................................... 37 Tables Table 1. The CGPS sub-networks. ........................................................................................... 8 Table 2. Other networks providing GPS data. .......................................................................... 8 Table 3. Off-line stations. ......................................................................................................... 9 /media/vedurstofan/utgafa/skyrslur/2011/2011_005.pdf
  • 55. “The small eruption” in

    and deformation may precede many eruptions this is not always the case and depends on how much stress has already been released and the strength of the upper crust”, says Michelle.Figure 2. A) GPS data from the station KRI in Krísuvík. The blue line indicates the beginning of the eartquake swarm (24.02) and the red line shows the beginning of the eruption (19.03). A rapid deformation was detected /about-imo/news/the-small-eruption-in-fagradalsfjall-celebrates-six-months
  • 56. “The small eruption” in

    and deformation may precede many eruptions this is not always the case and depends on how much stress has already been released and the strength of the upper crust”, says Michelle.Figure 2. A) GPS data from the station KRI in Krísuvík. The blue line indicates the beginning of the eartquake swarm (24.02) and the red line shows the beginning of the eruption (19.03). A rapid deformation was detected /about-imo/news/the-small-eruption-in-fagradalsfjall-celebrates-six-months/
  • 57. VI_2014_001

    for the largest ones. For these catchments, the index flood model is ex- trapolated far beyond the range of characteristics for which it was developed and the estimation of µi(D) may not be valid. This is in line with Crochet (2012a,b). This is the case in Region 1 for catchment vhm200, for which the index flood is usually strongly understimated. This catchment is by far the largest and much larger than /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_001.pdf
  • 58. VI_2014_006

    the com- plexity of the hydrological processes through modelling, but its application is usually limited to the short-range. Although the results demonstrated a great potential for this method, its success- ful application in real-time will strongly depend on the quality and availability of streamflow observations, which can be poor or simply missing during periods of variable durations, e.g /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_006.pdf
  • 59. VI_2020_008

    leading to the selection of the Peak-over- Threshold method as it shows more similarities when applied to both sets of data. Intensity– duration–frequency (IDF) graphs are presented for each station, based on simulated precipitation values and station observations. The project results in two 1M5 maps: one based on daily values from midnight to midnight in line with the earlier 1M5 map, and the other /media/vedurstofan-utgafa-2020/VI_2020_008.pdf
  • 60. ces-glacier-scaling-memo2009-01

    2008) together with a regression line through this data set and a regression line derived for a data set of more than a hundred valley glaciers (Bahr and others, 1997). The regression lines are of the form v = csg ; (5) where v and s are glacier volume and area, respectively. The coefficient and exponent for the Icelandic ice caps are c = 0:048, g = 1:23, when the area and volume are expressed /media/ces/ces-glacier-scaling-memo2009-01.pdf

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