requires an appropriate monitoring system and the use of integrated or more simple models
for the prediction of future scenarios including effects of implemented measures. Such
integrated models should also include socio-economic aspects. In the Netherlands for the
Major sources of uncertainty in current IWRM practice
Tabl
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St
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1:
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ta
bl
ish
st
at
us
an
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go
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s
Pr
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in
Ste
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tablis
/media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf
/EPP 2
Stakeholders analysis
26 August 2011 PM/YZ/EPP 3
Stake
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/media/loftslag/Group5-Stakeholders_involvement.pdf
and validation periods ....................................................................... 35
Appendix III - Instantaneous index flood µi(D = 0), flood frequency distribution
and growth curves, derived by QDF modelling of WaSiM daily flow simulations ... 41
Appendix IV - Estimated flood frequency distributions at target sites treated as
ungauged, using the best IFM for each set
/media/vedurstofan/utgafa/skyrslur/2015/VI_2015_007.pdf
measures
Downscaling and
statistical correction
Water system impacts
Hydro-ecological models
Socio-economic
scenarios
Socio-economic
impacts
Fig. 2 Structural elements in
the assessment of climate change
impacts and adaptation illustrating
the uncertainty cascade
Mitig Adapt Strateg Glob Change
Tabl
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1
Ch
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o
fke
y
sou
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in
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/media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf
FOREST BIOMASS FOR ENERGY PRODUCTION –
POTENTIALS, MANAGEMENT AND RISKS UNDER CLIMATE CHANGE
Ashraful Alam, Antti Kilpeläinen, Seppo Kellomäki
School of Forest Sciences,
University of Eastern Finland, Joensuu
F t Cli t d R bl E I t Ri k d Ad t tiu ure Cl ma e an enewa e nergy – mpac s, s s an ap a on
Oslo, Norway
2 June, 2010
Contents
• Forestry in Finland
• Challenges
• Objectives
/media/ces/Alam_Ashraful_CES_2010.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
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o
s
t
r
o
p
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i
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w
i
n
d
s
p
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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
by parametric methods. Hydrology Research 39, 425-436.
Jónsdóttir, J. F., Uvo, C. B. (2009). Long-term variability in precipitation and streamflow in Iceland and relations to atmospheric circulation. Int. J. Climatol. 29, 425-436. doi: 10.2166/nh.2008.002.
Lawrence, D., Haddeland, I. Uncertainty in hydrological modelling of climate change impacts in four Norwegian catchments. Hydrology Research
/ces/publications/nr/1943
EA Analyse A/S and Optensys
Energianalys will forecast energy system variables, while SINTEF Energy Research will make
assumptions for the energy system in different cases, include new inputs in the EMPS model and
carry out simulations.
Cl
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Sc
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/media/ces/esa_flyer_new.pdf
with 20% and 2% for the HIRHAM experiments
using HadAM3H and with 30% and 7% for the ECHAM-
driven experiments for Middle Europe and Scandinavia,
respectively.
[18] RCM output is not available for the entire period
1961–2100 because transient RCM simulations are com-
putationally very demanding. Instead two 30-year time
slices are available; one representative for the climate in
the period 1961–1990
/media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf
inhabitants, in terms of environmental and health issues.
The Icelandic Meteorological Office (IMO) monitors gas releases from Holuhraun using DOAS and FTIR instruments for the estimation of SO2 flux and amount of other components in the volcanic cloud. The more abundant gases present are SO2, CO2, HCl, HF, H2O.
In the first month and half we had an averaged flux equal to 400 kg/s (~35 kT/d/pollution-and-radiation/volcanic-gas/measurements/