will review a set of stakeholder involvement and
decision making issues with the above outline as backdrop.
References:
[1] Marttila, V., Granholm, H., Laanikari, J., Yrjölä, T., Aalto, A., Heikinheimo, P., Honkatukia, J., Järvinen,
H., Liski, J., Merivirta, R. & Paunio, M. 2005. Finland’s National Strategy for Adaptation to Climate Change.
MMM Publication 1a/2005. 276 pp.
[2] Kokkarianen, V
/media/loftslag/CASE_B__Heikki_Tuomenvirta_(FMI)_Introduction.pdf
Spatial perception of flood hazard in the urban area of Selfoss
Emmanuel P. Pagneux 1, 2
1 Icelandic Meteorological Office
Grensásvegur 9 – 108 Reykjavík – ICELAND
2 Department of Geography and Tourism
Faculty of Life and Environmental Sciences / School of Engineering and Sciences
University of Iceland
Aska, Sturlugata 7 – 101 Reykjavík – ICELAND
Email: emmanuel@vedur.is
/media/loftslag/Spatial_perception_of_flood_hazard_in_the_urban_area_of_Selfoss,_Iceland.pdf
this in a real planning process
• Robust measures
• Uncertainties
• Synergies and tradeoffs
Thank you
References
• Pictures in order of occurence:
• http://www.ecoboot.nl/ecoboot_new/?p=351
• http://www.edie.net/products/view_entry.asp?id=4984&channel=0&title=Flood+P
rotection+and+Flow+Control+Specialists
• http://progressivetimes.wordpress.com/2011/02/10/indoor-farming-may-be-
organics
/media/loftslag/Group2-PresentationWithPictures[1].pdf
in an overall
cold bias, compared with station measurements. To test, whether this is due to the HARMONIE
model core or the external surface scheme, biases of 2-m temperature from SURFEX are com-
pared with biases of temperature projected from the lowest two model levels to 2 mAGL. It is
found that the negative temperature biases are due to shallow inversion layers near the ground,
which are introduced
/media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf
adaptive management
structured process of learning by doing with the aim
scien
Involv
e a large scale, holistic alternative to reductionism
ce; and
Hel
B
p build flexible management capacity.
efficie
e learning about water resource systems more
nt.
adaptive water management (Pahl-Wostl and Sendzimir,
2005).
Adaptive management (AM) involves learning from
management actions and using
/media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf
) and changing climate (CC:CC)
1. Current climate (CU)
- varying thinning regimes
(0%, 15%, 30%,45%)
2. Changing climate (CC)
- varying thinning regimes
(0%, 15%, 30%,45%)
3. Current (CU) &
changing climate (CC)
- current thinning regime
4. Current (CU) &
changing climate (CC)
- changed thinning regimes
C
l
i
m
a
t
e
s
c
e
n
a
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i
o
s
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o
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e
p/media/ces/CES_BioFuels_Flyer_new.pdf
of
temperature anomaly
(ºC) between 1991-2007
and 1961-1990
Variation of annual T
anomaly (ºC)
between 1991-2007
and 1961-1990
Seasonal differences of P
anomaly (in %)
between 1991-2007 and
1961-1990
Seasonal differences of Q
anomaly (in %) between
1991-2007 and 1961-1990
Variation of annual P and Q
anomaly (%)
between 1991-2007
and 1961-1990
-40
-25
-10
5
20
35
50
1
9
2
0
1
9
4
0
1
9
6
/media/ces/Kriauciuniene_Jurate_CES_2010.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
sr
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uncertaint
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Tempora
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Spatia
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/media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf