currents. Because of the wide range of likely flow rheologies, three Manning's n values are assessed: 0.05, 0.1, and 0.15 s/m1/3. Results indicate that a large part of the lowland between the rivers Skaftafellsá and Breiðá (350 km2) is susceptible to flooding because of jökulhlaups descending the western and southern slopes of Öræfajökull. Characterised by average flow velocities in excess of 20 m/s
/hydrology/hazard-risk-assessments/glacial-outburst-floods/markarfljotsaurar-oraefajokull/
in the CGPS network
This list represents the status of the network on the 1st of June 2011.
Table 20. List of all stations in the CGPS network, alphabetically ordered by name.
Continues on next page.
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33
Appendix IV. Cost analysis for the data connections
34
35
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Appendix V. Coordinates for recommended national
network and volcano monitoring stations
Table 21 shows
/media/vedurstofan/utgafa/skyrslur/2011/2011_005.pdf
(see below) and the list of participants in addition to the abstracts of presentations and posters.
Sessions
Thursday, 20 June
09:00–09:10 ‒ Welcome
09:10–10:30 ‒ Lidar measurements for glacier inventories and mass balance monitoring
11:00–12:30 ‒ Process studies – I
13:30–15:00 ‒ Process studies – II
15:30–17:30 ‒ Lidar measurements from space, incl. video discussion with input from NASA
/lidar/lidar-2013/program/
Christian Refsgaard, GEUS All week
AP Adriaan Perrels, FMI All week
SK Sigrún Karsldóttir, IMO All week
FU Frederik Uldal, University of Copenhagen Logistic support
Course material
Papers and book chapters - recommended reading
Henriksen HJ, Barlebo HC (2008) Reflections on the use of Bayesian belief networks for adaptive management. Journal of Environmental Management, 88, 1025-
1036. doi:10.1016
/media/vedurstofan/PhD_course-Programme_26Aug2011-final.pdf
and Torfajo¨kull but not for Eyjafjallajo¨kull, rather than an actual sensitivity difference. Effects
of cold and dry years are ignored in the uncertainty calculation.
(a) (b) Using temperature at Vı´k (c) Using temperature at Hveravellir
AAR (%)
All seasons @bn=@T
(m w. eq. yr1 8C1)
Summer @bn=@T
(m w.eq. yr1 8C1)
All seasons @bn=@T
(m w.eq. yr1 8C1)
Summer @bn=@T
(m w.eq. yr1 8C1)
E 2025
/media/ces/Gudmundsson-etal-2011-PR-7282-26519-1-PB.pdf
A. Dunne, A. V. Vecchia, Nature 438,
347 (2005).
16. J. C. Knox, Quatern. Sci. Rev. 19, 439 (2000).
17. P. C. D. Milly, R. T. Wetherald, K. A. Dunne, T. L. Delworth,
Nature 415, 514 (2002).
18. Z. W. Kundzewicz et al., Hydrol. Sci. J. 50, 797 (2005).
19. R. Seager et al., Science 316, 1181 (2007).
20. IPCC, in Climate Change 2007: Mitigation of Climate
Change, Contribution of WG3 to AR4, B
/media/loftslag/Milly_etal-2008-Stationarity-dead-Science.pdf
Roald, L.A. and Engen-Skaugen, T.
Projected effects of climate change on the hydrology of Norway ........................................................................ 80
Duncan, N.J., Harrison, G.P. and Wallace, A.R.
Modelling the Scottish hydropower resource ........................................................................................................ 82
Einarsson, B
/media/ces/ces-oslo2010_proceedings.pdf
?
Methodological reflections on scalar structuration.
Progress in Human Geography 25:591-614.
Bryan, B. A., N. D. Crossman, D. King, W. S.
Meyer. 2011. Landscape futures analysis: assessing
the impacts of environmental targets under
alternative spatial policy options and future
scenarios. Environmental Modelling and Software
26(1):83-91.
Buizer, M., B. Arts, and K. Kok. 2011. Governance,
scale
/media/loftslag/Kok_and_Veldkamp_editorial_ES-2011-4160.pdf