distribution of anthropogenic climate changes, largely following Räisänen and
Ruokolainen (2008a,b). The main features of this procedure are as follows:
x Model simulations of 20th and 21st century climate change are used to develop linear
regression equations that relate the local temperature or precipitation climate to a
smoothed (11-year running mean) evolution of the global mean
/media/ces/CES_D2.4_task1.pdf
series, of which about 28,000 are from European
studies. White areas do not contain sufficient observational climate data to estimate a temperature trend. The 2 x 2 boxes show the total number of data
series with significant changes (top row) and the percentage of those consistent with warming (bottom row) for (i) continental regions: North America (NAM),
Latin America (LA), Europe (EUR), Africa
/media/loftslag/IPPC-2007-ar4_syr.pdf
we take the corresponding
data from the CMIP5 project.
Table 1. All GCMs and RCMs used in this study. If a model is available for any of the
domains Arctic-44, EURO-44, or EURO-11, it is marked with a v, but with an x if it is
unavailable.
Model name Type EURO-11 EURO-44 Arctic-44
CCCma-CanESM2 GCM x v v
COSMO-CLM4-8-17 RCM v v x
CNRM-CERFACS-CNRM-CM5 GCM v v x
IHCEC-EC-Earth GCM v v v
/media/vedurstofan-utgafa-2017/VI_2017_009.pdf
finished,
and possibly tested before implementation starts
(Bots 2007).
Following Bots (2007), we note that the word
“design” can denote an activity as well as a product.
In this article, design as a product is synonymous
with the participation plan (point y). This plan is
based on design as an activity, represented here by
the space between points x and y. What needs to
happen in this phase (x/media/loftslag/vonKorff_etal-2010.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
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/media/ces/CES_BioFuels_Flyer_new.pdf
-scale natural disaster one would expect that people would
abandon their cars from one day to another.
Political uncertainty – budget uncertainty
Scenario
combination
Impact Adaptation measures
North South North South
A *
CC: Possible increase in the
amount of snow more
snow clearing increase in
operational costs
S-E: increase in traffic volume
increased wear of roads
/media/loftslag/Group3-Road-scenarios.pdf
Barthelmie, R.J., Takle, G.S. & Andersen, T. (2008). The impact of climate change on wind energy resources. Proceedings of the World Renewable Energy Congress-X, 6pp (Invited Plenary presentation). 6pp.
Pryor, S.C., Barthelmie, R.J. & E.S. Riley (2007). Historical evolution of wind climates in the USA, Conference on the science of making torque from wind, Danish Technical University, August 2007
/ces/publications/nr/1943