Knowledge
gathering
Proposal
Testing
Revision
Decision-
making
Milestones
26 August 2011 PM/YZ/EPP 5
Phase
s
Du
r
at
i
o
n
(
mon
t
h
s
)
O
V
I
s
Problem iden
t
i
f
i
ca
t
i
on
2
A
l
l
St
a
k
ehol
d
e
r
s i
d
ent
i
f
i
ed an
d
selected wi
t
h
i
n 2 mo
n
t
h
s
I
n
f
o
r
ma
t
i
on pro
v
i
s
i
on
2
Kic
k
-
of
f
m
e
et
i
n
g
hel
d
Knowled
g
e ga
t
he
r
i
n
g
6
/media/loftslag/Group5-Stakeholders_involvement.pdf
delay
s
o
r
problem
s
Leadershi
p
is
proactive
;anticipate
s
o
n
problem
s
2.
Leve
lo
fcohesio
n
Leadershi
p
is
abl
e
to
formulat
e
an
d
articulat
e
internall
y
consisten
tpolic
y
preference
s
Jupill
e
an
d
Caporas
o
(199
8)
3.
Leve
lo
fauthorit
y
Leadershi
p
ha
s
authorit
y
to
ac
t
externally
,i
n
particula
rth
e
lega
lcompetenc
e
in
give
n
subjec
tmatte
r
(B
)Awarenes
s
raisin
g
&
educatio
n
5
/media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf
at
e
(C
limat
e
models
)
GC
M
s
X
X
XX
X
X
X
X
RCM
s
X
X
XX
X
X
X
X
Initia
lco
n
ditions
/
nat
ura
lva
riabilit
y
X
X
XX
X
D
ow
ns
ca
lin
g/
sta
tis
tic
al
co
rr
ec
tio
n
X
X
X
X
X
X
X
X
X
W
ate
r
syst
em
impact
s
(H
yd
ro
-e
co
lo
gi
ca
lm
o
de
ls)
X
X
X
X
X
XX
X
X
X
X
X
X
X
X
X
Socio
-econo
m
ic
imp
act
s
(So
ci
o-
ec
on
om
ic
to
ol
s)
X
X
X
X
X
X
X
X
X
XX
X
X
X
A
da
pt
ati
on
m
ea
su
re
s
X
X
X
X
/media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf
tg
ui
da
n
ce
fo
rt
ra
ns
bo
un
da
ry
w
at
er
s,
pr
ep
ar
ed
an
d
P. van der Keur et al.
(floo
dmanag
ement
)an
d
wat
er
qualit
y
ag
re
ed
u
po
n
in
co
m
m
o
n
u
n
de
rs
ta
nd
in
g,
creat
ed
th
e
bas
is
fo
rth
e
formul
atio
n
o
f
joi
nt
m
ea
su
re
s
(Fr
ijte
rs
an
d
Le
en
tv
aa
r
200
3)
Mo
del
s
(na
tural
,te
chnica
l
an
d
so
ci
al
sy
ste
m
s):
Uncert
aint
y
ha
s
to
be
incorp
orated
:
1:
Ep
ist
/media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf
). This can be helpful with respect to
finding a common structure in presenting as well in session reporting (for which angles
mentioned in the opening session statements of the Workshop participants can provide
checkpoints).”
Session rapporteur allocation
M
o
n
d
a
y
2
9
.
8
Y
u
a
n
g
Z
h
e
n
g
A
t
h
a
n
a
s
i
o
s
V
o
t
s
i
s
E
i
v
i
n
d
J
u
n
k
e
r
M
i
c
h
a
e
l
L
a
i
h
o
H
e
c
to
r
/media/loftslag/Guidelines2-for-rapporteurs.pdf
Time
Main assortments
l l d Energy biomassSaw ogs Pu pwoo
Small trees Residues Stumps
5
Use of biomass based energy in Finland
Pellets
1% (0.5 Mm3)
S d tForest residues
and small trees
used as chips
9% (3.4 Mm3)
aw us
9% (3.4
Mm3)
Black liquorTraditional
Energy biomass
46 TWh (55%) qu45% (18 Mm3)firewood
15% (6 Mm3)
Bark
21% (8.4 Mm3)
Energy biomass: 20% of the primary energy production
/media/ces/Alam_Ashraful_CES_2010.pdf
on the costs of
weather related delays and interruptions. Leviäkangas (2007) mentions an amount of 20 ~ 30
million euro per year. As mentioned before over time road users will start to adapt if they realize
that certain delays occur too frequently. Responses could vary from shifts in departure time to
switching to another mode or even relocation of activities.
A note on service levels
In road
/media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf
climate scenario. We will
apply this methodology in the current project also. An
important difference is however that the assumptions
for climate and energy system will refer to
approximately the same year.
0
10
20
30
4
0
5
0
6
0
7
0
8
0
9
0
1
0
0
0 20 40 60 80 100 120
GWh/week
Eu
roCent/
k
W
h
Deman
d
Supp
l
y
Minimum
system costs
Water values
Marginal
costs
Simulating stochastic
/media/ces/esa_flyer_new.pdf
and
how future climate change within the next 20–30 years can impact these resources.
In the future, an increase in the utilization of various sources of bioenergy will increase in Nordic
countries. This raises a question what is the biomass production potential of forests now and in the
future and how sustainable the energy production based on biomass are owing to possible large-scale
harvestings
/media/ces/CES_BioFuels_Flyer_new.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