deviation across the ensemble) and sign agreement (a percentage of models in the ensemble that
project the same sign of changes as the entire ensemble does).
Analysis
In Fig.1a shown are simulated changes in the annual extreme temperature range calculated
as difference between 20 yr mean absolute annual maxima and minima temperatures in baseline
and future scenario periods. The range
/media/ces/CES_D2.4_VMGO.pdf
the Fljótsdalsheiði region . . . . . . . 47
18 Seasonal mean wind power density within the Fljótsdalsheiði region . . . . . . . . 48
19 Directional mean wind power density within the Gufuskálar region . . . . . . . . . 49
20 Seasonal mean wind power density within the Gufuskálar region . . . . . . . . . . 50
21 Directional mean wind power density within the Hellisheiði region . . . . . . . . . 51
22 Seasonal mean
/media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf
BIOMATH, Ghent University, Gent, Belgium
d Water Quality Modelling modelEAU, University Laval, Quebec, Canada
Received 20 December 2005; received in revised form 5 February 2007; accepted 7 February 2007
Available online 27 April 2007
Abstract
A terminology and typology of uncertainty is presented together with a framework for the modelling process, its interaction with the broader
water
/media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf
” The latter is in our case
a policy decision represented by point z in Fig. 1. In
European water management, typical policy
decisions that involve participation include water
management plans.
Leading up to the policy decision is the participation
process, represented by the space between points y
and z, in which stakeholders interact with each other
but also with the agency responsible
/media/loftslag/vonKorff_etal-2010.pdf
) is considered as a sequence of steps
corresponding to n individual glaciers of different sizes (with volumes vi and areas si for i = 1
to n), or using
V (v) =
Z v
0
1
g
dS
ds
dx ; (7)
where the slope of the area distribution function, dS=ds, is considered as a function of ice vol-
TóJ 5 5.12.2009
Memo
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/media/ces/ces-glacier-scaling-memo2009-01.pdf
on the European level [e.g.
Water Framework Directive (Directive 2000/60/EC),
Common Agricultural Policy, etcetera], except for the
Ukrainian part of the Tisza. However, the Ukraine shows
strong incentives to enter the EU community and thus the
EU acquis communautaire is used as key reference for the
development of its water management principles. It was
nevertheless decided to select two case-studies
/media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf
) of the forthcoming changes are
uncertain. This uncertainty comes from three basic sources:
z Scenario uncertainty: future changes in the atmospheric composition, and thus the
external forcing of the climate system, depend on the magnitude of future anthropogenic
emissions of greenhouse gases and other radiatively active substances such as aerosol
particles and their precursor gases.
z Modelling
/media/ces/D2.3_CES_Prob_fcsts_GCMs_and_RCMs.pdf
&
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/media/loftslag/programme2---PhD-Workshop-preceding-Adaptation-Research-Conference.pdf
Numerical simulations
of precipitation in the complex terrain of Iceland—Comparison with glaciolog-
ical and hydrological data. Meteorol. Z., 16(1), 71–85.
Rögnvaldsson, Ó. and Ólafsson H. 2008. Dynamical downscaling of precipi-
tation – Part I: Comparison with glaciological data. Proceedings of the XXV
Nordic Hydrological Conference, Reykjavík, Iceland.
Tómasson, H. 1982. Vattenkraft i Island och dess
/media/ces/Paper-Olafur-Rognvaldsson_92.pdf
Av. Ed.
Belin, 31400 Toulouse, France
Received: 21 March 2011 – Published in The Cryosphere Discuss.: 6 April 2011
Revised: 5 October 2011 – Accepted: 20 October 2011 – Published: 2 November 2011
Abstract. The Little Ice Age maximum extent of glaciers in
Iceland was reached about 1890 AD and most glaciers in the
country have retreated during the 20th century. A model for
the surface mass balance
/media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf