a systematic com-
parison of results to observed precipitation has been carried out. Un-
dercatchment of solid precipitation is dealt with by looking only at
days when precipitation is presumably liquid or by considering the
occurrence and non-occurrence of precipitation. Away from non-
resolved orography, the long term means (months, years) of observed
and simulated precipitation are often
/media/ces/Paper-Olafur-Rognvaldsson_92.pdf
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 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
.................... 85
8
Figure 57 50% PM10 probability map for an eruption like 1362 at Öræfajökull ..................... 86
Figure 58 The probability of exceedance curve at key locations (Öræfajökull) ...................... 87
Figure 59 Tephra accumulation rate on the ground on 7 May 1982 (Öræfajökull) ................. 88
Figure 60 Tephra accumulation rate on the ground on 5 May 1981 (Öræfajökull
/media/vedurstofan-utgafa-2020/VI_2020_004.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
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
to be simple and therefore has important drawbacks.
Future improvements should be made in the light of applications within a larger toolbox of scenario
methods.
2008 Elsevier Ltd. All rights reserved.
* Tel.: +31 317 482422; fax: +31 317 419000.
E-mail address: kasper.kok@wur.nl.
Contents lists available at ScienceDirect
Global Environmental Change
journa l homepage: www.e lsev ier .com/ locate
/media/loftslag/Kok_JGEC658_2009.pdf