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/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 validity of the ideal gas law, hydrostatic
balance, a piecewise linear vertical gradient of air temperature, and neglecting the effects of water
vapour. Pressure, p, as a function of height can then be derived through vertical integration of the
hydrostatic balance equation, and is given by
p(h(x;y);z) = p0 exp
g
R
Z h(x;y)+z
0
dx
T (x )
; (5)
where p0 is pressure at mean sea level, T
/media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf
distribution of anthropogenic climate changes, largely following Räisänen and
Ruokolainen (2008a,b). The main features of this procedure are as follows:
x Model simulations of 20th and 21st century climate change are used to develop linear
regression equations that relate the local temperature or precipitation climate to a
smoothed (11-year running mean) evolution of the global mean
/media/ces/CES_D2.4_task1.pdf
we take the corresponding
data from the CMIP5 project.
Table 1. All GCMs and RCMs used in this study. If a model is available for any of the
domains Arctic-44, EURO-44, or EURO-11, it is marked with a v, but with an x if it is
unavailable.
Model name Type EURO-11 EURO-44 Arctic-44
CCCma-CanESM2 GCM x v v
COSMO-CLM4-8-17 RCM v v x
CNRM-CERFACS-CNRM-CM5 GCM v v x
IHCEC-EC-Earth GCM v v v
/media/vedurstofan-utgafa-2017/VI_2017_009.pdf