(Percent) By
Year Built Categories
Percent of Homes Damaged By Year Built
Categories
36
24
26
28
30
32
34
Pre 1980 80-96 97-2002 Post 2002
Percent Damaged
All Homes – Damage Per Square
Foot
All Homes - Damage Per Square Foot
2
2.5
D
a
m
a
g
e
P
e
r
S
q
.
F
o
o
t
0
0.5
1
1.5
< 120 120-129 130-139 140-149 > 149
D
a
m
a
g
e
P
e
r
S
q
.
F
o
o
t
Pre 1980
1980-1996
1997-2002
Post 2002
/media/loftslag/FMI_-_Disaster_Mitigation.pdf
Thursday, 14 November
Time Agenda Item
09:00 – 10:30
09:00 – 09:20
09:20 – 09:40
09:40 – 10:00
10:00 – 10:30
Potential Arctic / Mid-Latitude Linkages - East Asia (Chair: Jim Overland)
Rapid Arctic Warming in Recent Decades and Its Impact on Climate Change over East Asia
- S-J Kim
Extreme weather in northern mid-latitudes linked to cryosphere loss - Q Tang
A cause of the AO
/media/loftslag/Mid-Latitudes-Agenda1_nov2013EH.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
in comparison with natural variability, the simulated greenhouse-
gas-induced precipitation changes are weaker than changes in temperature. Thus, for example,
the probability that the mean annual precipitation in 2011-2020 in northern Europe will
exceed the mean for 1971-2000 is only 60-80%, depending on the region considered.
However, the probability increases in later decades when the signal
/media/ces/raisanen_ruosteenoja_CES_D2.2.pdf
J A
0 100 200 30020
0
60
0
100
0
Days since Sept. 1st
Q
(m
^3
/s)
Obs
Pred−nearest
Pred−weight
Method 4 T+2: RMSE−nearest= 69.6 RMSE−weight= 44.5
S O N D J F M A M J J A
Figure 7. Observed and predicted daily discharges at vhm 64 for a forecast range (T) of 2 days
and water-year 2004–2005, using methods 1 to 4 with rescaling. The 80%, 90% and 95% pre-
diction intervals are represented by grey
/media/vedurstofan/utgafa/skyrslur/2013/VI_2013_008.pdf
) Finland the spring flood peaks are
currently by far the largest floods and as they mostly decreased
with climate change the magnitude of the annual 2 and 100-year
floods decreased. In the north (Fig. 8a) some scenarios still pro-
duced large spring floods in 2070–2099. In southern Finland (in
the coastal rivers Fig. 8e and in the lake area Fig. 8d) large floods
occurred not only in spring but also
/media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf
andEnergy Directorate (NVE), Oslo, Norway2Department of Geosciences, University of Oslo, Norway3Institute for Marine and Atmospheric Research, Utrecht University, Utrecht, the Netherlands
Andreassen, L. and Oerlemans, J., 2009: Modelling long-term
summer and winter balances and the climate sensitivity of Stor-breen, Norway. Geogr. Ann. 91 A (4): 233–251.
ABSTRACT. Measurements of winter balance (bw
/media/ces/GA_2009_91A_4_Andreassen.pdf
A A SM J J O N D J F M A A SM J J O N D J F M A A SM J J O N D
J F M A A SM J J O N D J F M A A SM J J O N D J F M A A SM J J O N D
2010–39
(a) (b)
93.
0
93.
5
94.
0
94.
5
2040–69
Lake Pielinen
93.
0
93.
5
94.
0
94.
5
2070–99
94.
5
95.
5
96.
5
2010–39
94.
5
95.
5
96.
5
2040–69
Lake Syväri
94.
5
95.
5
96.
5
2070–99
75.
4
75.
8
76.
2
76.
6
2010–39
75.
4
75.
8
76.
2
76.
6
2040–69
Lake Saimaa
75.
4
75
/media/ces/Water_resources_man_Veijalainen_etal.pdf
19 CMIP3 GCMs are used (Table 2.1). The horizontal grid spacing of these
models varies from 1.1 q latitude × 1.1 q longitude to 4 q latitude × 5 q longitude. For each
2 Some of the RCM simulations in the ENSEMBLES data base were conducted with funding from other sources,
including CES.
5
model, a 198-year time series (1901-2098) obtained
/media/ces/D2.3_CES_Prob_fcsts_GCMs_and_RCMs.pdf