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E
nergy
therefore important to project climate change impacts
on temperature and precipitation extremes, both to
adapt current facilities and design new ones. New
methodologies have to be developed, and EDF Research
and Development has proposed and compared differ-
ent ways to derive future extreme temperature levels
within the next decades or at the end of the century.
3
The future evolutions of water availability and tempera-
ture are equally crucial and such studies are absolutely
necessary. Up to now, one of the main difficulties has
lain in the access to climate simulation results suitable
for such local impact studies involving different mete-
orological parameters. Both spatial and temporal scales
often do not match.
Development of climate services
Climate services are currently under development
and are prone to provide the needed climatic informa-
tion. The requirements mainly concern the facilitation
of access to climate science results, both in terms of
information and of datasets. Information should
include synthetic analyses of climate models’ capabili-
ties to represent the needed parameters, a selection of
a minimal model ensemble to conduct relevant impact
studies and guidance for the use of such results. On
the other hand, it could be useful to download climate
simulation results (both raw data and bias-corrected
in the coming years. The energy sector generally uses state-of-the-
art numerical weather prediction models, for instance those from
ECMWF, the National Centers for Environmental Prediction, Météo-
France or the UK Met Office among others. But while much progress
has been made in short-term and medium-term weather forecasts,
the need for longer-term forecasts and climate projections have only
been partly addressed.
Long-range forecasts (seasonal to annual and even decadal) have
indeed become ever more important to the (physical and finan-
cial) optimization of the systems, especially for temperature and
precipitation, which drive demand and hydropower production. The
development of accurate and skilful monthly and seasonal forecast-
ing systems in the last decade has begun to provide solutions and
helped increase the reliability in energy production and demand
forecasts.
2
However, this type of information, essentially probabilis-
tic, is far from trivial for the users, and requires the development of
partnerships or organized services in order to ensure a scientifically
correct use, notwithstanding its usefulness for the operational proc-
esses at stake. The operational use of such information can then be
achieved only if close collaboration is established between providers
and users of the data.
Long-term investment strategy and planning are important for
the energy sector as well, with the scope between 10 and 50-60
years ahead. Currently running facilities are challenged by unprece-
dented extreme events like summer heat waves and droughts. There
is now growing presumption that the occurrence of such events will
increase with anthropogenically-induced climate evolutions. It is
Image: © EDF, Philippe Eranian
EDF accompanies local authorities in the development of their territory, with projects such as Bordeaux’s streetcars