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/media/vedur/aerodrome_summaries_20140603.pdf
aversion should influence the first mover’s decision. The
98 Public Choice (2012) 151:91–119
Fi
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Public Choice (2012) 151:91–119 99
Table 1 The predicted effect of
intrinsic preferences on first and
second movers’ contributions
1st mover 2nd mover
Disadvantageous Negative None
inequity aversion
Advantageous None Positive
inequity
/media/loftslag/Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games.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
TíðaskarðFaxaflsjObs.ForecastMeteogramInfo.Obs. data
Tjörnes - GerðibrekkaNorth EsjObs.ForecastMeteogramInfo.Obs. data
TorfurNorth EsjObs.Info.Obs. data
Return to the top of the page
U
UpptyppingarCentralsjObs.Info.Obs. data
Return to the top of the page
V
VaðlaheiðiNorth EsjObs.Info.Obs. data
Vaðlaheiði IINorth EsjObs.Info.Obs. data
VatnaleiðFaxaflsjObs.ForecastMeteogramInfo.Obs. data
/weather/stations/
in snow cover duration
between 25% warmest and 25% coldest years +1.7°C
Catchment elevation (m.a.s.l)
Catchment elevation (m.a.s.l)
D
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barb2right -40 %
Magnitude difference
100(Warmest - Coldest)/Coldest
barb2right -37 days
Mean yearly maximum snowmelt rate
Timing difference
between 25% warmest and 25% coldest years
+1.7°CCatchment elevation (m.a.s.l)
Catchment
/media/ces/Crochet_Philippe_CES_2010.pdf
• MetNo-HIRLAM-HadCM3,
• SMHI-RCA3-BMC with the SRES A1B.
The climate model results were downscaled using
statistical downscaling method:
Sennikovs, J. and Bethers, U. 2009. Statistical downscaling
method of regional climate model results for hydrological
modeling. 18th World IMACS / MODSIM Congress, Cairns,
Australia 13-17 July 2009 http://mssanz.org.au/modsim09
Observed, modeled
/media/ces/Kurpniece_Liga_CES_2010.pdf
100
15 17 19 21 23 25
Mean annual peak runoff (mm/day)
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g40g80g83g76g85g76g70g68g79g3g68g71g77g88g86g87g80g72g81g87
Percentage change in 200-year flood
Uncertainty – Relative magnitude of
sampled s urces
N = 115
GCM/RCM = 50
EA/DC = 38
HBV = 27
• Differences in GCM/RCM
tend to be more significant
in inland
/media/ces/Lawrence_Deborah_CES_2010.pdf
the com-
plexity of the hydrological processes through modelling, but its application is usually limited to
the short-range. Although the results demonstrated a great potential for this method, its success-
ful application in real-time will strongly depend on the quality and availability of streamflow
observations, which can be poor or simply missing during periods of variable durations, e.g
/media/vedurstofan/utgafa/skyrslur/2014/VI_2014_006.pdf
............................................................................... 20
Räisänen, J.
Probability distributions of monthly-to-annual mean temperature and precipitation in a changing climate ......... 22
Nikulin, G., Kjellström, E., Hansson, U., Strandberg G. and Ullerstig A.
Nordic weather extremes as simulated by the Rossby Centre Regional Climate Model: Model evaluation and
future projections
/media/ces/ces-oslo2010_proceedings.pdf
of market organisation alternatives
26.8.2011Adriaan Perrels/IL 10
Cost-benefit analysis – the basics 3
Simple example: despite positive IRR still cash flow challenge years 1 - 8
CBA example - initial investment 100; interest and discount 5%;
operational cost +5%/y; benefits +10%/y; IRR = 7.4%
-20
-10
0
10
20
30
40
50
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
years
m
o
n
e
y
u
n
it
s
writing off
finance
/media/loftslag/Perrels-CBA.pdf