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/media/loftslag/Hare-2011-ParticipatoryModelling.pdf
(ECT)
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14
Energy wood
/media/ces/Alam_Ashraful_CES_2010.pdf
and their interactions with sustainable develop-
Figure I.1. Schematic framework representing anthropogenic drivers, impacts of and responses to climate change, and their linkages.
Schematic framework of anthropogenic climate change drivers, impacts and responses
ment. Topic 5 assesses the relationship between adaptation and
mitigation on a more conceptual basis and takes a longer-term per-
spective. Topic 6/media/loftslag/IPPC-2007-ar4_syr.pdf
on the transport sector. Table 1 below shows a tentative distribution of activities
by different stakeholders and by geographic / administrative aggregation level.
Table 1 – Tentative identification of relevant (predominant) operating levels and actors
Local Regional National* International
public private public private public private public private
Infrastructure planners XX XX X/media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf
in
climate change adaptation should reflect the nature of the uncertainty sources and how they
interact with risk level and decision making: (i) epistemic uncertainties can be reduced by
gaining more knowledge; (ii) uncertainties related to ambiguity can be reduced by dialogue
Mitig Adapt Strateg Glob Change
DOI 10.1007/s11027-012-9366-6
J. C. Refsgaard (*)
Geological Survey of Denmark
/media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf
with terrain elevation above mean sea level. Additionally, the vertical dependence of
seasonally averaged temperature within the boundary layer atmosphere is well approximated by
a linear profile. Temperature as a function of height, x , above mean sea level can therefore be
written as
T (x ) =
(
T0 +LTx for 0 x h
T0 +LT h+L(x h) for h x h+ z ;
(6)
where T0 is air temperature at mean sea level, LT
/media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf
Instantaneous index flood estimation. Validation at gauged and simulated sites
treated as ungauged. RMSE scores (m3/s) calculated at simulated sites (WaSiM) and
gauged sites (Obs). For the gauged sites, RMSE is first calculated for each of the two
sets of estimates and then averaged (see Table 4, Appendices IX and X, and Section 3.2.4).
model 1 2 3 4 5 6
bµi(D) = bµi(D) = bµi(D) = bµi(D) = bµi(D) = bµi(D
/media/vedurstofan/utgafa/skyrslur/2014/VI_2014_001.pdf
-of-the-art in water resources management. It is a
Water Resour Manage
DOI 10.1007/s11269-008-9248-6
P. van der Keur (*) : H. J. Henriksen : J. C. Refsgaard
Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark
e-mail: pke@geus.dk
M. Brugnach : C. Pahl-Wostl
Institute of Environmental Systems Research, University of Osnabrück (USF), Osnabrück, Germany
A. Dewulf
Public Administration
/media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf
The Netherlands
123
Reg Environ Change (2010) 10:263–284
DOI 10.1007/s10113-009-0108-6
On a global scale, the number of disasters caused by
weather-related phenomena such as storms, floods, and
droughts has more than doubled over the past decade, from
175 in 1996 to 391 in 2005 (IFRC 2008). The same trend
(Fig. 1) is being observed in the case-studies under inves-
tigation, which is Rivierenland
/media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf
ANNUAL REPOR T 2014
2
I C E L A N D I C M E T O F F I C E / A N N U A L R E P O R T 2 0 1 4
?Veðurstofa Íslands 2015
Bústaðavegur 7–9, 108 Reykjavík, Iceland
The annual report was drafted by the IMO sta?.
Editor: Sigurlaug Gunnlaugsdóttir
Design and layout: Hvíta húsið
Printing: Oddi
ISSN 2251-5607
Cover photo: Gro Birkefeldt Møller Pedersen
I N D E X
4 Bárðarbunga
7 Rockslide
/media/vedurstofan/utgafa/skyrslur/2015/IMO_AnnualReport2014.pdf