) and changing climate (CC:CC)
1. Current climate (CU)
- varying thinning regimes
(0%, 15%, 30%,45%)
2. Changing climate (CC)
- varying thinning regimes
(0%, 15%, 30%,45%)
3. Current (CU) &
changing climate (CC)
- current thinning regime
4. Current (CU) &
changing climate (CC)
- changed thinning regimes
C
l
i
m
a
t
e
s
c
e
n
a
r
i
o
s
M
ea
s
u
r
e
m
en
t
s
o
f
c
l
i
m
a
t
e
p
/media/ces/CES_BioFuels_Flyer_new.pdf
but the uncertainty range is large. We are looking two cases: worst case (+4 C degrees
increase) and best case (1.5 C increase). Increase in prec: more rain in the winter
Decrease in the predictability of weather
Natural variability
ii. Socioeconomics
a. Change in traffic volume
b. BAU
Ten-year time steps
National main roads
Geographic area: The whole country
Fig. 3
/media/loftslag/Group3-Road-scenarios.pdf
Vision for Proactive Climate Change Adaptation in the Danish Water Sector
Speaker: Helle Katrine Andersen, DANVA hka@danva.dk
To inspire water utilities to develop climate change adaptation strategies and to implement
CC adaptation solutions The Danish Water and Waste Water Association (DANVA) has
developed a vision for Proactive Climate Change Adaptation in the Water Sector
/media/loftslag/Helle_Katrine_Andersen_(DANVA,_Dk).pdf
mix, 4) mobility patterns,
technological development, 5) equitable distribution of social goods, ethical dynamics
Background information and knowledge gaps: 1) time scale-what is the consensus view
of when are the CC impacts projected to begin to be felt, 2) spatial scale-where are the
impacts expected to occur, 3) vulnerability assessments of differential capacity to adapt
to CC impacts
/media/loftslag/Group4.pdf
code used should be included on every chart.
3) The optional colour indicating 9+-10 tenths of nilas or grey ice should only be used to
indicate level ice, mainly on leads; it should not be used for ice broken into brash or ice
cakes or for concentrations less than 9+ tenths.
4) Undefined ice is used when it is known that ice is in an area but its characteristics are not
known
/media/hafis/frodleikur/ice-chart_colour-code-standard.pdf
ANN−10
−5
0
5
10
15
20
delta w (%
)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17C
h
a
n
g
e
i
n
g
e
o
s
t
r
o
p
h
i
c
w
i
n
d
s
p
e
e
d
(
%
)
Change in wind over the Baltic Sea in 70 years time at the time of CO2-doubling
Chen and Aschberger, 2006
17
CM
IP
G
CM
s
A need for regional ensemble simulations
head2right Changes are uncertain
head2right Size and sometimes even sign
/media/ces/Kjellstrom_Erik_CES_2010.pdf
of the distribution parameters ............................................................................ 22
4 DATA .................................................................................................................................. 23
4.1 Precipitation measurements .................................................................................................. 23
4.2 Reanalysis
/media/vedurstofan-utgafa-2020/VI_2020_008.pdf
et
al
.(
200
4)
21
.Explici
tconsideratio
n
o
funcertaint
y
(relate
dt
o
CC
impacts
)
Uncertaintie
s
ar
e
no
t
glosse
d
ove
r
bu
tcommunicate
d
(in
fina
lreports
,orally
)
Diet
z
et
al
.(
200
3),
Brugnac
h
et
al
.(
200
8)
Researcher
s
ar
e
willin
g
to
tal
k
wit
h
stakeholder
s
abou
tuncertaintie
s
Diet
z
et
al
.(
200
3),
Brugnac
h
et
al
.(
200
8)
22
.Broa
d
communicatio
n
(on
CC
impacts
/media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf
The observed travel time differences already mentioned can either be obtained from absolute times of
measured (picked) phase arrivals (logged in earthquake catalogs) or as relative times between phases
measured with cross-correlation (CC) of waveforms. CC between closely spaced earthquakes can give
highly accurate relative time differences between phases, and can correct bad picks from
/media/norsem/norsem_begga.pdf