Changes between Version 6 and Version 7 of WikiStart

Timestamp:

Aug 17, 2010, 9:16:21 PM (14 years ago)

Author:

lnerger

Comment:

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WikiStart

@@ -13 +13 @@
 
  1. PDAF provides fully implemented, parallelized, and optimized ensemble-based algorithms for data assimilation. Currently, these are ensemble-based Kalman filters like the LSEIK, LETKF, and EnKF methods. 
- 1. PDAF is attached to the model source code by minimal changes to the code. These changes only concern the general part of the code, but not the numerics of it. 
+ 1. PDAF is attached to the model source code by minimal changes to the code. These changes only concern the general part of the code, but not the numerics of it. In addition, a small set of routines is required that are specific to the model or the observations to be assimilated. These routines can be implemented like routines of the model.
  1. PDAF is called through a well-defined standard interface. This allows, for example, to switch between the LSEIK and LETKF methods without additional coding. In addition, different observational data sets can be used within a single executable.
  1. PDAF provides parallelization support for the data assimilation system. If your numerical model is already parallelized, PDAF enables the data assimilation system to run several model tasks in parallel within a single executable. However, PDAF can also be used without parallelization, for example to test small systems.
+ 1. PDAF does not require that your model can be called as a subroutine. Rather PDAF is added to the model and the formed data assimilation system can be pretty much executed like the model-program would without data assimilation. 
 
 This Wiki contains a growing documentation for PDAF. We will also add a possibility to register and download PDAF.