Version 2 (modified by lnerger, 10 years ago) (diff)


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)