During my PhD at Meteo-France
in Toulouse, I used two global atmospheric models
to perform time slice climate change experiments using sea surface temperature
anomalies, in collaboration with other european instituts: the Hadley
Centre (UK) and the MPI (Germany).
This technique reduce the computing cost of the climate simulation and
therefore made possible higher resolution for the atmospheric model as
well as investigating impact of modified physics on the atmospheric model
sensitivity. This was done in parallel to more systematic tests using the
Cess
et al. methodology to explore model feedbacks.
This methodology gave access to details of the
atmospheric response to anthropogenic climate forcing, however small scale
features are not fully described by such dynamical approach. Therefore
I looked at possible diagnostics to study some particular weather phenomenon.
Two examples of such diagnostics are:
-
The impact of global warming on snow
cover in the French Alps
-
Tropical cyclogenesis
and
its sensitivity to climate change.
