Capacity (A)
F
r
e
q
u
e
n
c
y
control
future
+0.4std dev (as % of
mean)
-0.68max
-8.32min
-1.74mean
% change
June 2010 15
Time series
450
500
550
600
650
700
Hour
C
a
p
a
c
i
t
y
(
A
)
Typical year of control period
Seasonal average rating
Calculated capacity
450
500
550
600
650
700
Hour
C
a
p
a
c
i
t
y
(
A
)
Typical year under future scenario
Calculated capacity
Seasonal average
/media/ces/Cradden_Lucy_CES_2010.pdf
Results
W
i
n
t
e
r
t
e
m
p
e
r
a
t
u
r
e
Max snow depth
Trend slope
Number of snow days
Period II
P
e
r
i
o
d
I
I
I
Max snow depth Number of snow days
Norwegian Meteorological Institute met.no
Correlation analysis (1961-08)
138 mutual stations
Introduction Data & Methods Results
Correlation with
winter
temperature
Correlation with
winter
precipitation
In warmer regions both snow
parameters
/media/ces/Dyrrdal_Anita_CES_2010.pdf
to theoretical framework. I do also want to thank him for an
enjoyable time during this work, both in the office and in the field.
This work was carried out as a part of the Skaftá cauldrons research project which
was funded and supported by the Icelandic Centre For Research (RANNÍS), Kvískerja-
sjóður, the NASA Astrobiology Institute, Landsvirkjun (the National Power Com-
pany), the National Energy
/media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf
24 July 2010
This manuscript was handled by K.
Georgakakos, Editor-in-Chief, with the
assistance of Ercan Kahya, Associate Editor
Keywords:
Climate change
Flood
Hydrological modelling
Flood inundation area
Hydraulic modelling
Finland
s u m m a r y
This paper provides a general overview of changes in flooding caused by climate change in Finland for the
periods 2010–2039 and 2070–2099. Changes
/media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf
Forsíðumynd: Svava Björk Þorláksdóttir mælir með öldustilli
niður á festur í Iðu í Hvítá. Ljósmynd: Njáll Fannar Reynisson.
V E Ð U R S T O F A Í S L A N D S / Á R S S K Ý R S L A 2 0 1 8
3
Viðburðaríkt ár er að baki
hjá starfsfólki Veðurstofunnar
enda felast jafnan margar og
fjöl breyttar áskoranir í vöktun
og rannsóknum á náttúru -
öflum landsins.
Loftslagsmál eru mjög á
döfinni enda stærsta
/media/vedurstofan/utgafa/arsskyrslur/VI_Arsskyrsla_2018_vef.pdf
at the operational/local level.
A calibrated approach (standardized questionnaires and
interviews, expert judgment, and reinterpretation of out-
comes by means of relevant literature) was used to com-
pare the state of affairs in water management in the
selected case-studies.
Adaptive and integrated water management
Given the expected increase of climate-related extreme
events, water governance capabilities
/media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf
This is also the case with
cyclones in all three sectors. Cyclones in the eastern or western sector are also strongly affected
by the presence of central cyclones. In both sectors, cyclones tend to move east, unless there are
cyclones in the neighbouring sector, in which case pressure tendencies are reversed.
21
Figure 10. Composite mean temporal MSLP tendencies, for different MSLP modes. Com-
posite mean
/media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf
by
rescaling a dimensionless regional flood frequency distribution or growth curve, qR(D;T ), com-
mon to all sites of the homogeneous region, with the so-called index flood, µi(D), of the target
site:
bQi(D;T ) = µi(D)qR(D;T ); (1)
where bQi(D;T ) is the estimated flood quantile, i.e. the T -year flood peak discharge averaged
over duration D, at site i. The regional growth curve, qR(D;T
/media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf
to be simple and therefore has important drawbacks.
Future improvements should be made in the light of applications within a larger toolbox of scenario
methods.
2008 Elsevier Ltd. All rights reserved.
* Tel.: +31 317 482422; fax: +31 317 419000.
E-mail address: kasper.kok@wur.nl.
Contents lists available at ScienceDirect
Global Environmental Change
journa l homepage: www.e lsev ier .com/ locate
/media/loftslag/Kok_JGEC658_2009.pdf
Estimation of eruption site location
using volcanic lightning
Þórður Arason
Guðrún Nína Petersen
Halldór Björnsson
VÍ 2013-006
Report
Estimation of eruption site location using
volcanic lightning
V Í 201 3 - 006
ISS N 167 0 - 8 261
Report?
+354 522 60 00
ved u r@ ve d u r. is
Veð u rst of a Ísla n d s
Búst a ð a ve gur 7–9
150 Reykja vík
Þórður Arason, Icelandic Met
/media/vedurstofan/utgafa/skyrslur/2013/VI_2013_006.pdf