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about 28% and losses from the polar ice sheets
contributing the remainder. From 1993 to 2003 the sum of these
climate contributions is consistent within uncertainties with the total
sea level rise that is directly observed. {WGI 4.6, 4.8, 5.5, SPM, Table
SPM.1}
Observed decreases in snow and ice extent are also consistent
with warming (Figure 1.1). Satellite data since 1978 show that an-
nual average
/media/loftslag/IPPC-2007-ar4_syr.pdf
-temporal terrestrial laser scanner data
Kjetil Melvold and Thomas Skaugen ................................................................................... 28
Spatial variability of snow depth determined from airborne laser scanning: implication for
snow course design example from Hardangervidda southern Norway
Finnur Pálsson, Eyjólfur Magnússon, Sverrir Guðmundsson, Helgi Björnsson , Hannes
/media/vatnafar/joklar/Reykholt-abstracts.pdf
-corrected SPOT 5
high-resolution geometric (HRG) images with 2.5 m
2.5 m spatial resolution, acquired in the autumn 2003
and (4) airborne polarimetric synthetic aperture radar
images observed simultaneously to the 1998 EMISAR
images and the EMISAR DEM viewed as a shaded
relief image (Magnu´sson et al. 2005b).
We estimate the average specific net mass balance (in
m yr1 w. eq.) as
bn r
DV
A1 N
/media/ces/Gudmundsson-etal-2011-PR-7282-26519-1-PB.pdf
); new long-term investment strategy prioritizing low- or zero-net carbon forms of
mobility
2040 Modal shift in logistics chains, especially within heavy industry.
3.3 Backcasting scenario narrative
Low-Impact Mobility Project Evaluation (LIMPE)
Climate change is occurring. Is it natural or anthropogenic? It doesn’t matter. Even
though the future is inherently uncertain, one certainty
/media/loftslag/Group4.pdf
speeds over the Nordic countries................................................................................. 28
HYDROLOGICAL PROJECTIONS, RUNOFF
Kurpniece, L., Lizuma, L., Timuhins, A., Kolcova, T. and Kukuls, I.
Climate Change Impacts on Hydrological Regime in Latvia ................................................................................ 30
Lawrence, D. and Engen-Skaugen, T
/media/ces/ces-oslo2010_proceedings.pdf
(DGPS) equipment
in 2001. Continuous profiles, approximately 1 km apart,
were measured in the accumulation zone and a dense net-
work of point measurements were carried out in the abla-
tion zone. Digital Elevation Models (DEMs) of the surface
and bedrock were created from these data (Fig. 2; Björns-
son and Pálsson, 2004). The estimated errors are at most
1–5 m (bias less than 1 m) for the surface
/media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf
of 10-m wind speed in January ................................... 25
17 Average diurnal cycles of 10-m wind speed in July........................................ 26
18 Monthly averages of 10-m wind speed, as a function of terrain elevation ............ 27
19 Monthly mean fields of 10-m wind speed .................................................... 28
20 Monthly variability of 10-m wind speed
/media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf
increased net precipitation and increased rainfall intensity put pressure on the sewage
system and the lake dam. Flooding of the town is expected to occur more frequently. Future flooding
storms could be as high as 2,5 meters.
The challenges have been divided into two main themes: sea level change and rainfall.
NONAM Risk Assessment and Stakeholder Investment. Multidisciplinary Workshop
/media/loftslag/CASE_A___Jes_Pedersen_(Region_Midt,_Dk)_Introduction.pdf
increased net precipitation and increased rainfall intensity put pressure on the sewage
system and the lake dam. Flooding of the town is expected to occur more frequently. Future flooding
storms could be as high as 2,5 meters.
The challenges have been divided into two main themes: sea level change and rainfall.
NONAM Risk Assessment and Stakeholder Investment. Multidisciplinary Workshop
/media/loftslag/Case_A___Horsens_Fjord.pdf