Nesjum
0-5 5-10 10 15 20-15
2008-2018
1979-1989
Dæmi um ólíkt rennslismynstur.
100
9080
70
60
50
40
30
20
10
0
Júní
mánaðarmeðaltal
Ársmeðaltal
Rennsli
m
3 /s
Sigurvegarinn í getraun Veðurstofunnar á Vísindavöku Rannís hlaut
heimsókn á Veðurstofuna að launum. Salka Elín Sæþórsdóttir ásamt
vinum sínum, Ými og Bjarti. Með þeim á myndinni er Ragnar Heiðar
Þrastarson, fagstjóri landfræðilegra
/media/vedurstofan/utgafa/arsskyrslur/VI_Arsskyrsla_2018_vef.pdf
6
0
20
40
60
80
10
0
12
0
14
0
−ln(−ln(1−1/T))
Q(
T)
(m
?s)
1 2 5 10 20 50 100
T (years)
l Obs.
WaSiM vhm51
heM
95?bh ??Obs
95?bh ??W aSiM
95?bh heM
Annual max. Q : GEV Distributions for vhm51
Index flood model no. 6
l l l l
l
l l l
l l l
l
l
l
l
l
l
l
−2 0 2 4 6
0
50
10
0
15
0
−ln(−ln(1−1/T))
Q(
T)
(m
?s)
1 2 5 10 20 50 100
T (years)
l Obs.
WaSiM vhm52
heM
95?bh Obs
95?bh
/media/vedurstofan/utgafa/skyrslur/2014/VI_2014_001.pdf
M A M J J A l
ll l
l
l
l
l
l
l
lll
l
l
lll
0 100 200 300
60
0
80
0
100
0
Days since Sept. 1st
Q
(m
³/s
)
vhm102
S O N D J F M A M J J A
l
l
l
ll
l
l
l
l
l
l
l
l
l
l
l
l
l
ll
l
l
l
l
l
l
0 100 200 300
30
40
50
60
70
Days since Sept. 1st
Q
(m
³/s
)
vhm116
S O N D J F M A M J J A
l
l
l
l
l
l
l
l
l
l l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
l
0 100 200 300
20
0
30
0
40
0
50
0
Days since Sept. 1st
Q
(m
³/s
/media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf
an important part of the runoff from many areas. In total, approximately
20% of runoff in Iceland originates from groundwater (Hjartarson, 1994a).
In the above mentioned previous simulation of runoff map for Iceland for the period 1961–
1990, groundwater was omitted. Effects of groundwater flowing across watershed
boundaries were simulated by scaling the precipitation for each watershed. On watersheds
/media/ces/2010_017.pdf
Annual
report
? Icelandic Met O?e
Bústaðavegur –
Reykjavík
Iceland
Editors:
Sigurlaug
Gunnlaugsdóttir
Sigrún Karlsdóttir
Ingvar Kristinsson
Theódór F. Hervarsson
Design and layout:
Vinnustofa
Atla Hilmarssonar
Printing:
Oddi
Cover photo:
Oddur Sigurðsson
ISSN -
The Icelandic Meteorological O?ce, IMO, is responsi -
ble for real-time monitoring and forecasting
/media/vedurstofan/utgafa/arsskyrslur/VED_AnnualReport-2013_screen.pdf
;
mayo
ran
d
governmen
t
of
cer
s
F
M
(si
m
u
lat
ion
m
od
el)
M
F
Tabl
e2
.
Ca
te
go
riz
at
io
n
ta
bl
e
fo
r
th
e
ex
am
pl
es
o
fF
AB
E
ap
pr
o
ac
he
s
to
pa
rt
ic
ip
at
o
ry
m
o
de
llin
g.
A
ce
ll
in
th
e
‘
pa
rt
ic
ip
at
o
ry
m
o
de
llin
g
st
ag
e’
ca
n
be
interprete
d
in
th
e
fo
llo
w
in
g
m
an
n
er
:
w
he
re
th
er
e
is
n
o
st
ak
eh
o
ld
er
in
vo
lve
m
en
t,
N
O
P
is
w
rit
te
n
.
W
he
re
th
/media/loftslag/Hare-2011-ParticipatoryModelling.pdf
-1996
– 1997-2002
– Post 2002
Overall Effect of Wind Speed on
Damages
Damaged Homes By Wind Categories
100
120
0
20
40
60
80
< 120 120-
129
130-
139
140-
149
> 149
P
e
r
c
e
n
t
Damaged Homes (Cum.
Percent)
Average Home Size By Year
Built Categories
Average Home Size By Year Built Categories
2450
2500
2550
2150
2200
2250
2300
2350
2400
Pre 1980 80-9697-2002 Post 2002
Avg. Sq. Feet
Damaged Homes
/media/loftslag/FMI_-_Disaster_Mitigation.pdf
–1990 and 2071–
2100 was assumed with the greatest warming in the
spring and fall. Precipitation changes are compara‐
tively small, with up to 10–20% average increase in the
fall between these periods but little change in other
seasons. The simulations are started from 1990.
The simulated rate of retreat is similar for Hofsjökull
and Vatnajökull, but much faster
/media/ces/ces_flyer_glacierssnowandice.pdf