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(0%, 15%, 30%,45%)
2. Changing climate (CC)
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(0%, 15%, 30%,45%)
3. Current (CU) &
changing climate (CC)
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4. Current (CU) &
changing climate (CC)
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26 August 2011 PM/YZ/EPP 3
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course – Adaptive management in relation to climate change – Copenhagen 21-26/8/2011
……………………………………………………………………………………………………………………………………………………………………
6
Figure 1. Flow chart summarizing information and decision flows of an adaptive management inspired
adaptation planning cycle for road transport (at national strategic / tactical level)
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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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there is one more suggestion dfor stakeholders to restrict infrastructure in the cities of Horsens.
Fiva PhD Courses : Adaptive management in relation to climate change (august 22 2011 - august 26 2011)
2 / 3
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/media/loftslag/Group-1_Scenarios-for-AWM.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
in Iceland: Climate projections and historical changes in precipitation type Andréa-Giorgio R. Massad, Guðrún Nína Petersen, Halldór Björnsson, Matthew J. Roberts & Tinna Þórarinsdóttir99
20,6
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CES conference, Oslo, Norway, 31 May - 2 June 2010
Typical features
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• become severe when they cover a large region and persist for an
extended period.
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/media/ces/AnneFleig_May2010_CES.pdf
interpolated to
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Regional Bias:
spatial example
GSM: NCEP Global
Spectral Model
obs prcp GSM prcp
obs temp GSM temp
JULY
Verification using NCEP
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Process into the daily VIC-scale
input time series
Force hydrology model to
produce streamflow
Ohio R. flow @ Metropolis, IL
Start with GSM-scale monthly observed
T & P (“unbiased”) time series
/media/ces/Lettenmaier_Dennis_CES_2010pdf.pdf