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and possibly the stake-
holders at different phases of the modelling project.
Many QA guidelines exist such as Middlemis (2000) and
Van Waveren et al. (1999). The HarmoniQuA project (Schol-
ten et al., 2007; Refsgaard et al., 2005a) has developed a com-
prehensive set of QA guidelines for multiple modelling
domains combined with a supporting software tool, MoST
(downloadable via http
/media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf
to theoretical framework. I do also want to thank him for an
enjoyable time during this work, both in the office and in the field.
This work was carried out as a part of the Skaftá cauldrons research project which
was funded and supported by the Icelandic Centre For Research (RANNÍS), Kvískerja-
sjóður, the NASA Astrobiology Institute, Landsvirkjun (the National Power Com-
pany), the National Energy
/media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf
at the operational/local level.
A calibrated approach (standardized questionnaires and
interviews, expert judgment, and reinterpretation of out-
comes by means of relevant literature) was used to com-
pare the state of affairs in water management in the
selected case-studies.
Adaptive and integrated water management
Given the expected increase of climate-related extreme
events, water governance capabilities
/media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf
which are significantly lower com-
pared with similar beginning and end years. Consequently, for the 2004–50 period, the average
RCM warming rates of 0.29 K per decade over the ocean, and 0.35 K per decade over the land are
somewhat larger than for the reduced IPCC ensemble mean.
Additionally, the tabulated values of SAT differences between the 1961–90 control period and
either the 2021–50
/media/ces/2010_005_.pdf
This is also the case with
cyclones in all three sectors. Cyclones in the eastern or western sector are also strongly affected
by the presence of central cyclones. In both sectors, cyclones tend to move east, unless there are
cyclones in the neighbouring sector, in which case pressure tendencies are reversed.
21
Figure 10. Composite mean temporal MSLP tendencies, for different MSLP modes. Com-
posite mean
/media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf
by
rescaling a dimensionless regional flood frequency distribution or growth curve, qR(D;T ), com-
mon to all sites of the homogeneous region, with the so-called index flood, µi(D), of the target
site:
bQi(D;T ) = µi(D)qR(D;T ); (1)
where bQi(D;T ) is the estimated flood quantile, i.e. the T -year flood peak discharge averaged
over duration D, at site i. The regional growth curve, qR(D;T
/media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf
support
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/media/loftslag/Hare-2011-ParticipatoryModelling.pdf
level, surveys commissioned by the European Com-
munity/the European Union provide an indication of trends in concern about cli-
mate change. Since 1992, such surveys have been undertaken among representative
samples of citizens in its Member States, and specifically on topics related to the
environment (Special Eurobarometers (EB) in 1992, 1995, 2002; and a Flash EB
in 2002). These have included
/media/loftslag/Lorenzoni_Pidgeon_2006.pdf
Such landslides fall from a comparatively high
elevation, cause extensive disruption and upheaval of loose materials and soils in their
way, and can travel considerable distances uphill against opposing slopes.
Secondly, there are medium-sized or large, rapid debris flows that are released from com-
paratively high elevations and are confined to gullies as they travel down the mountain-
side, similar
/media/vedurstofan-utgafa-2016/VI_2016_006_rs.pdf
To distinguish between rain and snow, the volume is com-
pared to the water equivalent but the volume of snow is ten times larger.
Figure 1. How PWD22 determines the type of precipitation.
Using the information about the changes of the backscatter signal, water equivalent and temper-
ature the Vaisala Present Weather Detector can give information about the type of precipitation.
It is also used
/media/vedurstofan-utgafa-2019/VI_2019_009.pdf