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
estimates are obtained for catchments where bµ(D) is most biased, e.g. vhm116.
llllllllllllllllllllllll
5 10 15 20
40
60
80
10
0
12
0
14
0
IFM no.
%
Figure 4. Estimated instantaneous flood quantiles with the IFM, at gauged sites treated
as ungauged. Mean relative quantile RMSE (RMSET ) for the different index flood models.
Large symbol corresponds to the model giving the best
/media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf
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Initial proposal 12 Catalogue of measures
Testing & revision 12 Revised catalogue of measures
Decision-making 2 Published catalogue of measures
*Objective Verifiable Indicators: the quantitative, qualitative, and time-bound measures that constitute evidence
/media/loftslag/Group5-Stakeholders_involvement.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
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/media/loftslag/Guidelines2-for-rapporteurs.pdf
) 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
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/media/ces/CES_BioFuels_Flyer_new.pdf
Time
Main assortments
ll 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