Changes between Version 22 and Version 23 of WikiStart

Timestamp:

Sep 6, 2010, 9:26:11 AM (14 years ago)

Author:

lnerger

Comment:

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WikiStart

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-The Parallel Data Assimilation Framework - PDAF - is a software framework that simplifies the implementation of data assimilation systems using existing numerical models. Reducing the work required for the implementation will enable users to obtain a data assimilation system with less work such that they can focus on applying data assimilation, rather than implementing it. The defined interface of PDAF allows to continue the development of the assimilation methods and the model independently. New developments on the algorithmic side can be readily made available through the interface such that they can be tested immediately with existing implementations. 
+The Parallel Data Assimilation Framework - PDAF - is a software framework that simplifies the implementation of data assimilation systems using existing numerical models. Reducing the work required for the implementation will enable users to obtain a data assimilation system with less work. Thus, they can focus on applying data assimilation, rather than implementing it. PDAF provides a well-defined interface that separates the model from the assimilation routines. This allows to continue the development of the assimilation methods and the model independently. New developments on the algorithmic side can be readily made available through the interface such that they can be tested immediately with existing implementations. 
 
-PDAF is optimized for the application with large-scale models that usually run on big parallel computers. However, also smaller models and even toy models can be used.  PDAF simplifies the implementation of data assimilation systems using existing model code by the following:
+PDAF provides fully implemented and optimized data assimilation algorithm. The Framework is optimized for the application with large-scale models that usually run on big parallel computers. However, it is also well suited for smaller models and even toy models. 
+
+PDAF simplifies the implementation of data assimilation systems using existing model code by the following:
 
  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.