| Abstract |
Clouds, through the intricate feedback effects they have
on the climate system, are responsible for a large part
of the uncertainty affecting our evaluation of future
climate change.
Whereas projects such as AMIP or FANGIO have established
the scatter between a large number of model results,
there has been a lack of dedicated in-depth comparion
exercices between a smaller number of models, in order to
understand which are the most important physical
processes explaining these discrepancies. It has been
shown that models having similar representations of
cloudiness, such as the LMD and UKMO models, may differ
widely in their sensitivity to a climate perturbation
such as an increase in atmospheric C02. A better
understanding of the source of such differences is the
objective of the present proposal.
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