with the general observation of a slowly fading activity in almost all other data sets.
Inter-event waiting time
For the Bárðarbunga caldera, inter-event waiting time for earthquakes equal to or larger than M5 has been plotted* during the four months period from the onset of events until 15 Dec 2014. On the y-axis, waiting time is given in hours. The x-axis shows the relevant earthquakes
/earthquakes-and-volcanism/articles/nr/3039
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/media/loftslag/Group5-Stakeholders_involvement.pdf
witnessed severe flood in 2006, when
sea level rose to 1.76 m above normal. The extreme rainfall events will bring pressures to the local
drainage system as well.
This project is aiming to build scenarios for adaptive flood management in the coming 20 years for
Horsens Fjord, based IPCC emission scenario A2. The climate situation is shown in Table 1. Two
adaptive water management (AWM
/media/loftslag/Group-1_Scenarios-for-AWM.pdf
+ x−k) (1)
Public Choice (2012) 151:91–119 95
with k = 1,2, and −k = 1 if k = 2, −k = 2 if k = 1. The variables xik and x−k are the
contributions to the public good of subject i as mover k and mover −k, respectively. The
contribution of the first mover is an integer x1 ∈ [0,10] and that of the second mover takes
one of the two values x2 ∈ {0, x1}.
2.2 Theoretical predictions
As noted
/media/loftslag/Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games.pdf
of melt water from glaciated
areas in long integrations for a warming climate.
Glacier dynamics
This problem can be qualitatively analysed by considering the continuity equation for ice vol-
ume, which may be expressed as
¶h
¶t
+
¶q
¶x
= b or
¶h
¶t
+~ ~q = b ; (1)
for a one-dimensional ice flow channel or an ice cap that flows in two horizontal dimensions,
respectively. h is ice thickness, q or ~q
/media/ces/ces-glacier-scaling-memo2009-01.pdf
the Fljótsdalsheiði region . . . . . . . 47
18 Seasonal mean wind power density within the Fljótsdalsheiði region . . . . . . . . 48
19 Directional mean wind power density within the Gufuskálar region . . . . . . . . . 49
20 Seasonal mean wind power density within the Gufuskálar region . . . . . . . . . . 50
21 Directional mean wind power density within the Hellisheiði region . . . . . . . . . 51
22 Seasonal mean
/media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf
about 20-25% in 2010 to about 50% in 2050. Perhaps surprisingly,
a particularly high probability is found in Iceland, most likely as a result of the small
12
interannual variability there. As expected, the probability of very warn years rises even faster
than that of warm months – in northern Europe from typically 30-40% in 2010 to about 60-
80% in 2030 and to 85-95% or even more in 2050
/media/ces/CES_D2.4_task1.pdf
11 / 12 MPI-ESM-LR REMO2009 45 / 85
13 / 14 IHCEC-EC-Earth RCA4 45 / 85
15 / 16 IHCEC-EC-Earth COSMO-CLM4-8-17 45 / 85
17 / 18 CNRM-CERFACS-CM5 RCA4 45 / 85
19 / 20 CNRM-CERFACS-CM5 COSMO-CLM4-8-17 45 / 85
11
3 Which domain, resolution, and models of the CORDEX
project should be selected for the analysis of 21st
century climate change in Iceland?
The subject of this chapter
/media/vedurstofan-utgafa-2017/VI_2017_009.pdf
Figure 53 Impact map for airports in case of an eruption like 1362 at Öræfajökull ................ 82
Figure 54 Impact map for power lines in case of an eruption like 1362 at Öræfajökull ......... 83
Figure 55 5% PM10 probability map for an eruption like 1362 at Öræfajökull. ...................... 84
Figure 56 25% PM10 probability map for an eruption like 1362 at Öræfajökull
/media/vedurstofan-utgafa-2020/VI_2020_004.pdf
236
1992 09 167 124 167 98
1995 07 1994 1759 599 368
1995 10 96 62 73 37
1997 07 921 728 330 184
2000 08 1240 1083 365 221
2002 09 689 582 267 160
2003 11 241 207 139 98
2006 04 1370 1340 300 270
2008 10 1350 1290 300 265
The origin of the 1957, 1960, 1964 and 1966 jökulhlaups is not certain but is most likely the eastern cauldron. The discharge
and volume for the 1995 jökulhlaup are a sum from
/media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf