-based and 10 based on IPCC GCM
simulations. The choice of the GCM models was based on their SAT
performance for the present-day climate near Iceland as mentioned above.
2. For GCM-based scenarios, temperature change in the highland interior of
Iceland, where the large ice caps are located, were increased by 25% based on
the results of RCM downscaling (Nawri & Björnsson, 2010).
3. Expected
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the report.
2 Study area and data
2.1 River basins
The region under study is located in the East fjords and the surrounding area (Fig. 1). This region
is characterised by a complex topography along the coast, Vatnajökull ice cap in the southwest
and highlands in the interior. This leads to large precipitation and temperature gradients in the
region (Crochet et al., 2007; Crochet & Jóhannesson, 2011). Eight
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by 25 % in the interior of Ice-
land, where the large ice caps are located (Nawri and Björns-
son, 2010).
Before year 2010, the glacier model is forced with daily
mean records constructed from the monthly mean observed
temperature and precipitation as previously explained. Pos-
sible natural variations in the climate are important for near-
future projections as the magnitude of the expected
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the analysis will allow us to present the
outline for a new, potentially more robust and
comprehensive design process. The outline as
presented here consists of principles, phases and
their interior steps, and tools for participation
processes.
We will now turn to the various elements of the
potential new guide. We will start by presenting the
principles of design, followed by the steps and tools
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-
logical data from step 3 (M1=N sequential runs).
5. Save all storage grids from step 4 (M1=N sets of grids).
6. Import precipitation and temperature ensemble predictions issued at t0 for lead time D=2
days (N members).
7. Initialize WaSiM-ETH with storage grids from step 5 and run model with input meteoro-
logical data from step 6 (M2=N2 sequential runs).
8. Save all storage grids from step 7 (M2=N2
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