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SPECIAL REPORT
CLIM
A
T
E
Temperature and rainfall data from the past
and present are used, for example, to test the
model in regard to climate history using a pro-
cedure known as ‘hindcasting’. “We want to
know how effective the model is and evaluate
this compared with climate observations such
as historical measurements of greenhouse gases,”
explains Paul van der Linden. If the test shows
an excessive departure from historical data, the
model is deemed to be weak. As it takes an
enormous amount of time to produce a global
model, only certain elements of them can be
tested and over a reduced period.
Thousands of simulations
A single prediction from a model is insuffi-
cient. To improve precision, climatologists run
the same model thousands of times with dif-
ferent data and are also able to run several
models on repeated occasions using the same
data. This method, known as the ‘ensembles
model’, generates a more reliable result
because the averages of several models pro-
vide a more precise picture than the result of
one alone. One of the reasons why ENSEMBLES
differs from previous projects is due to this very
effect of scale.
“It is the biggest project of its kind,” says Paul
van der Linden. The team of forecasters, who
are located across Europe, has designed a vast
multi-model that combines seven European
ensemble models. Its size enables it to provide
a degree of detail superior to that of previous
attempts. It also differs from its predecessors
because it produces an ensemble on the basis
of 15 regional models incorporated in the sev-
en global models. Researchers studied the
potential impact of climate change on 14 sites
in Europe. They are also able to simulate the
effects of an average temperature rise of 2°C in
Europe on agriculture, health, energy, water
resources and insurance. “We have more of
a transverse than a top-down approach,”
explains Paul van der Linden.
Another innovation is the development of
a new scenario, known as E1, which was tested
by an ensemble of global climate models. This
supposes that emission reduction policies are
a success and that emission targets are achieved.
This is an opposite approach to the IPCC sce-
narios in the sense that results are shared in
terms of temperatures in order to then
of the previous predictions that were based on
data provided by global climate models.
The median results of an ENSEMBLES pre-
diction, based on the A1B emissions scenario
(in which our economies achieve a balance
between the use of fossil fuels and other ener-
gy sources, including renewable energy), indi-
cate, for example, a temperature rise of 6°C
and a 50 % fall in rainfall in summer in south-
west France between 2080 and 2099 compared
with the 1961-1990 reference period. The
degree of detail achieved by these new mod-
els is one of the project’s major contributions
to climate change modelling. “We are achiev-
ing a much higher resolution than anything
obtained previously. This marks major
progress,” declares Paul van der Linden, the
ENSEMBLES director who is based at the Had-
ley Centre for Climate Change in Exeter (UK).
These results are the culmination of five years
of hard work at the heart of the obscure sci-
ence of climate modelling.
Passing the history test
Six IPCC scenarios (there are 40 in all) are
currently being used in the models. These
describe a series of future emission levels and
are formulated on the basis of socio-economic
hypotheses and conjectures on how we man-
age the climate problem. Some are based
on ‘business as usual’ and are therefore neg-
ative; others are based on more active energy
policies. They also include estimations for
the sun’s rays and aerosols and their scope
varies depending on whether they include
data relating to 1, 2 or 10 to 15 pollutants, for
example.
The models were developed over several
decades at 12 different centres – the seven
centres located in Europe were included
in ENSEMBLES, which also includes non-
European institutes among its 66 partners.
The researchers start by scrutinizing the land
surface, usually with a resolution of roughly
three to four degrees. The models are subse-
quently launched on a global scale and the
values of each bloc or cell reconstituted. Dif-
ferent models are used depending on the
aim of the research: they can be uniquely
atmospheric or oceanic or both. In addition
to the global characteristics of climate change,
scientists can also model their impacts.
models. They can include as many as 30 param-
eters, such as air speed, humidity, ground
humidity, temperature or dew point. A model
can consist of as many as a million lines of com-
puter code and take several months to devel-
op, in addition to the even longer analysis time.
This is why there are only around 25 global
models in existence.
In its most optimistic scenario (low green-
house gas emissions), the IPCC predicts, at best,
a temperature increase of 1.8°C in 2090-2100
compared with 1990 (the temperature has
increased by 0.7°C since the beginning of the
industrial revolution), with a rise in sea levels
from 18 to 38 cm. The most pessimistic scenar-
io (high emissions) predicts, on the basis of our
present knowledge, a temperature rise of 4°C
and a rise in sea level of between 26 and 59 cm.
Whatever scenario proves to be true, the IPCC
predicts increased damage by floods and
storms. A 3°C temperature rise would thus
cause a 30 % reduction in coastal wetlands. But
there is no scenario depicting a drowned world
in 2055…
A European mega model
Climate models of this kind are improving
all the time and serve both to refute alarmist
scenarios and to combat denial, thereby ensur-
ing that the public are informed correctly.
Measuring and modelling techniques have
developed progressively over the past two cen-
turies. The very oldest data come from a series
of temperature readings obtained in central
England in the 17
th
century. In the 19
th
century
meteorological observations became wide-
spread. In the 1920s balloons were sent up into
the air full of measuring instruments. Thirty
years later, aircraft were used to measure the
atmosphere and weather stations were built at
the North and South Poles. Today, data are col-
lected by satellite.
The ENSEMBLES project, allocated funding
of EUR 15 million under the Sixth Framework
Programme (FP6), covers a whole series of
major new climate models. Its predictions have
a greater degree of certitude, not so much due
to the precision of the observations as to the
quality and the depth of the modelling. Clima-
tologists claim to have produced a picture of
Europe’s climate at the end of this century that
is clearer and more comprehensive than any
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