Inverse Problems are encountered in many fields of Geosciences. One class
of inverse problems, in the context of predictability, is assimilation of
observations in dynamical models of the system under study.

This session will be devoted to the presentation and discussion of methods
for inverse problems and data assimilation, in ocean and atmosphere
dynamics, solid earth geophysics, atmospheric chemistry, hydrology and,
more generally, in all fields of geophysics.

We encourage reports on advanced methods, and related mathematical
developments, suitable for situations in which local linear and Gaussian
hypotheses are not valid and/or for situations in which significant model
errors are present. Contributions dealing with algorithmic aspects and
numerical implementation of the solution of inverse problems are welcome,
as well as contributions dealing with quantification of uncertainty in
inverse and data assimilation problems.

Invited speakers
Ehouarn Simon (ENSEEIHT, Toulouse)
Tijana Janjic-Pfander (Hans Ertel Centre for Weather Research, Munich)