The
American Political Science Review 97:233-243.
Jessop, B. 2005. The political economy of scale and
European governance. Tijdschrift voor Economische
en Sociale Geografie 96:225-230.
Katz, D., and I. Fischhendler. 2011. Spatial and
temporal dynamics of linkage strategies in Arab-
Israeli water negotiations. Political Geography 30
(1):13-24. doi:10.1016/j.polgeo.2010.12.002.
Kok, K., R. Biggs, and M
/media/loftslag/Kok_and_Veldkamp_editorial_ES-2011-4160.pdf
was deployed and together with the permanent NNSN stations in that area it contained 33+
stations within span 350 x 200 km. About 1250 earthquakes of M>0.0 was recorded during the project
period and new map of seismicity of that area was retrieved.
The main aim of the project is to reveal the stress field in that particular region and therefore
determination of stable
/media/norsem/norsem_michalek.pdf
/breakthrough curves
West East
Model C
Model A
Model B
Fractured clay/
Toplayer
Sand Clayey till Limestone SelandienLimestone
0 20 40 60
0
0.2
0.4
0.6
0.8
1
N
or
m
al
is
ed
c
on
ce
nt
ra
ti
on
0 20 40 60 80 100
0
0.2
0.4
0.6
0.8
1
0 40 80 120 160 200
Time in years
0
0.2
0.4
0.6
0.8
1
N
or
m
al
is
ed
c
on
ce
nt
ra
ti
on
0 100 200 300
Time in years
0
0.2
0.4
0.6
0.8
1
Model A Model B Model C
Simulated
/media/loftslag/Refsgaard_2-uncertainty.pdf
fatalities occurred in
mobile homes,
although only 7.6% of
U.S. housing units in
2000.
• A one standard
deviation in the
proportion of mobile
homes in housing stock
(8.3 percentage
points) increases
fatalities by 36% and
injuries by 18%.
The Mobile Home Problem
50
60
70
80
90
P
e
r
c
e
n
t
a
g
e
o
f
C
a
t
e
g
o
r
y
F
a
t
a
l
i
t
i
e
s
Mobile Homes
0
10
20
30
40
F0 F1 F2 F3 F4 F5
F
/media/loftslag/Tornado_Impacts_-_FMI_Presentation.pdf
12 1 month 12
Columbia River Basin Water Resource Sensitivity
to PCM Climate Change Scenarios
0%
20%
40%
60%
80%
100%
120%
Portland-
Vancouver
Spring Flood
Control
Reliability
Portland-
Vancouver
Winter Flood
Control
Reliability
Autumn Firm
Power
Reliability
(November)
% of Control
Hydropower
Revenues
McNary
Instream
Target
Reliability
(April-
August)
Middle Snake
Agricultural
/media/ces/Lettenmaier_Dennis_CES_2010pdf.pdf
– observed and simulated changes in global mean
temperature
• Pattern scaling approach
– changes in mean climate and variability assumed to be
proportional to the change in global mean temperature
Regression coefficients of winter mean
temperature: how much is climate on the average
simulated to change per 1°C of global warming?
XX
Helsinki (60ºN, 25ºE): On average, the mean winter temperature
/media/ces/RaisanenJouni_CES_2010.pdf
and objective
CES Conference, Oslo 31.5.-2.6.2010
Study area
• Two study areas sized 100 x 100 km located in
north-eastern (NE) and south-western (SW) part
of Finland
• Climatologically different zones:
• NE:
• between middle- and north-boreal zones
• continental climate
• SW:
• between hemi- and south-boreal zones
• maritime influence
• Past and future monthly precipitation sums in
May-September
/media/ces/TietavainenHanna_CES_2010.pdf
.................... 85
8
Figure 57 50% PM10 probability map for an eruption like 1362 at Öræfajökull ..................... 86
Figure 58 The probability of exceedance curve at key locations (Öræfajökull) ...................... 87
Figure 59 Tephra accumulation rate on the ground on 7 May 1982 (Öræfajökull) ................. 88
Figure 60 Tephra accumulation rate on the ground on 5 May 1981 (Öræfajökull
/media/vedurstofan-utgafa-2020/VI_2020_004.pdf
and the the backscatter is measured by the radar. The radar has also been successfully used in monitoring eruption plumes, recording reflections from ash particles and water droplets in the plume.
The weather radar on Miðnesheiði
The image shows the radar backscatter signal recorded at 14:20 hrs on 23 May 2011. Also, the maximum backscatter in the vertical plane is shown, which can be used
/about-imo/news/nr/2183
more uncertain than the changes in temperature.
The 5th percentile of annual mean precipitation change is positive in northern Russia, Finland
and large parts of Sweden; elsewhere, it is generally negative. Conversely, the 95th percentile
is in the range 10-20%. The uncertainty in seasonal mean precipitation changes is larger than
that of the annual mean change. In particular, the 5-95% range
/media/ces/D2.3_CES_Prob_fcsts_GCMs_and_RCMs.pdf