) Measured 1997 and 1999 ice surfaces of Lang‐
jökull and Hofsjökull, respectively. c) Steady‐state glacier
geometries after a few hundred year spin‐up with constant
mass balance forcing.
Figure 3: Simulated response of Langjökull (L), Hofsjökull (H)
and southern Vatnajökull (V) to climate change. The inset
numbers are projected volumes relative to the initial stable
ice geometries
/media/ces/ces_flyer_glacierssnowandice.pdf
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.
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/media/ces/esa_flyer_new.pdf
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balance model
• Monthly temperature
• Monthly precipitation
Step 2: Extrapolation of model
parameters to all glaciers in
Iceland and Scandinavia
• Gridded climate variables
Step 3: Future projections until
2100 for each glacier:
- run mass-balance model
- Volume-area scaling
Volume-area-length
scaling
V = c Aγ
• Glacier inventory data
• downscaled GCM scenarios
A(t
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Methodology
Step
/media/ces/Hock_Regine_CES_2010rs.pdf
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• Differences in GCM/RCM
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/media/ces/Lawrence_Deborah_CES_2010.pdf
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Figure 1. Scenario building for AWM in Horsens Fjord
To estimate of the adaptation strategy (Table 2) we will use back-casting approach. The assessments
of the productivity of this approach are based on main big strategies which need to have an attention.
One of them
/media/loftslag/Group-1_Scenarios-for-AWM.pdf
the principalmethods have not changed much over the years, theamount of field work has varied. In the first 15 yearsthe monitoring programme at Storbreen was com-prehensive, often three or more snow density pits
were dug, snow depth was measured at about 600points and ablation was measured on 30 stakes
evenly distri uted on the glacier (Liestøl 1967).Based on experience of the snow pattern, the ob-
servations
/media/ces/GA_2009_91A_4_Andreassen.pdf
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/media/loftslag/programme2---PhD-Workshop-preceding-Adaptation-Research-Conference.pdf
-CALPUFF model is not using plume height estimates
as an input parameter. The model itself solves the equations describing the rising of the mixture
in the atmosphere and calculates the top-plume height by using some physical parameters as
the vertical mixture velocity (V) and the radius of the vent (R). Based on these two parameters,
V and R, we get an estimate of the mass flow rate and we
/media/vedurstofan-utgafa-2020/VI_2020_004.pdf
improving
management policies and practices by learning from the
outcomes of implemented management strategies. Partici-
patory integrated assessment is here a form of problem
structuring for identification of gaps, ambiguity and
multiple frames, confrontation, and integration of the
most divergent views with respect to a given problem
situation.
Additional methods and tools that AM require com/media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf