Features of PDAF

• PDAF is implemented in Fortran90. However, the standard interface also supports models that are written in C or C++.
• The parallelization uses the MPI (Message Passing Interface) standard.
• The core routines are fully independent of the model code. They can be compiled seperately and can be used as a library

Filter algorithms

PDAF provides the following filter algorithms for data assimilation. All filters are fully implemented, optimized and parallelized.

Local filters:

• LSEIK (Nerger et al. (2006))
• LETKF (Hunt et al. (2007))

Global filters:

• SEIK (Pham et al. (1998a, 2001), the implemented variant is more detailed described by Nerger et al. (2005))
• ETKF (The implementation follows Hunt et al. (2007) but without localization)
• SEEK (The original formulation by Pham et al. (1998)
• EnKF (The classical formulation with perturbed observations by Evensen (1994)