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Results:

• 11. Monitoring flow

  floods originating in sub-glacial volcano and geothermal systems, or melt water, heavy rain and ice blockage of river-flow. The development of the network began in 1996, following jökulhlaup in Skeiðará, and has in the last decade been extended to the areas south and north of Vatnajökull, south of Mýrdalsjökull, the South Iceland lowland and to Borgarfjörður. Each monitoring station has /hydrology/flow/

• 12. VI_2009_013

  to locate earthquakes in Iceland but the SIL-crustal model has no Moho boundary. Using this model in the routine, daily analysis, the majority of the earthquakes in Eyjafjallajökull form a 3-km-wide chimney between 1 and 10 km depth beneath the northern flank of the volcano. A smaller cloud is also visible between 19 and 25 km depth, about 1.5 km west of the main activity/cluster. 13 Figure 3 /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_013.pdf

• 13. VI_2009_012

  Mw(v) plotted against log distance. The coefficient of correlation between Mw(v) and log distance is 0.24. High correlation coefficients have been shown to affect parameter estimates in one step regression methods (see Fukushima and Tanaka, 1990). The Ci values were also calculated from the derived PGA values. Instead of constructing another magnitude scale based on acceleration it was decided /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_012.pdf

• 14. Bardarbunga_daily_status_report_31082014

  Bárðarbunga update 31082014 2014-08-31 16:41 UTC update 31_08_2014 Compiled by Icelandic Meteorological Office, University of Iceland, ed. Sara Barsotti and Halldór Björnsson. Based on Seismic, GPS, Hydrology, Radar, Webcam, visual observations Eruption plume Height (a.s.l.) No plume was detected by radar (detection limit above 1 km) and webcam indicated low level gases and steam from lava /media/jar/Bardarbunga_daily_status_report_31082014.pdf

• 15. 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

• 16. VI_2015_006

  m 2 or less, compared with losses of 80 W m 2 or more over neigh- bouring cloud-free regions. The conditions around midnight, off the southeast coast on 27 July, and along the north coast on 3 September, clearly show the limited ability (in the model) of even a complete high-level cloud cover to affect the longwave radiation balance at the surface. Mid- level clouds are usually simulated together /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_006.pdf

• 17. Bardarbunga_Daily_status_report_290814

  occurs again where either the fissure is partly or entirely beneath Dyngjujökull. This would most likely produce a flood in Jökulsá á Fjöllum and perhaps explosive, ash-producing activity. At 10:00 UTC, IMO changed the Aviation Colour Code for Bárðarbunga to ‘orange’, signifying that significant emission of ash into the atmosphere is unlikely. The aviation colour-code for the Askja volcano /media/jar/Bardarbunga_Daily_status_report_290814.pdf

• 18. Journal_of_Hydrology_Veijalainen_etal

  A second, but usually smaller, increase in runoff oc- curs in the autumn. In northern Finland more than 95% of annual maximum floods are caused by spring snowmelt (cf. Fig. 7a). Also the small upstream lakes in the northern part of the lake area and the northernmost of the coastal rivers fall mainly into this cat- egory. In most coastal rivers the major floods can be caused by either snowmelt /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf

• 19. Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change

  can be found in Huntjens et al. (2007), Chapter 4 of NeWater Deliverable 1.7.9a (http://www.newater.info). Climate change adaptation in European river basins 265 123 interactions, by private and public actors, to achieve adaptation and to enhance the capacity of processes, institutional arrangements and actors to adapt to future environmental changes (Huitema et al. 2009). Adaptive governance /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf

• 20. 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