Title: Sensitivity of the KFS to the trajectory of reference

Authors: Oger N.
Pannekoucke, O.(Meteo-France)
Doerenbecher, A.
Arbogast, P

Advanced observation targeting techniques attempt to account for both model state uncertainties and properties of the data assimilation schemes. To achieve this, technical implementation exist either with ensemble-based or variational methods. Kalman Filter Sensitivity (KFS) is a data targeting technique mainly based on the adjoint technology applied to a variational data assimilation scheme. In practice, the (linear) targeting products are computed with the help of a non-linear trajectory. Through the linearisation process the targeting products depends on the non-linear trajectory. This poster provides results on the sensitivity of the KFS to the non-linear trajectory and to approximations within the data assimilation scheme.

GMAO Head: Michele Rienecker Global Modeling and Assimilation Office NASA Goddard Space Flight Center

Curator: Nikki Privé Last Updated: May 27 2011