Changes between Version 22 and Version 23 of WikiStart


Ignore:
Timestamp:
Sep 6, 2010, 9:26:11 AM (10 years ago)
Author:
lnerger
Comment:

--

Legend:

Unmodified
Added
Removed
Modified
  • WikiStart

    v22 v23  
    2020
    2121
    22 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.
     22The 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.
    2323
    24 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:
     24PDAF 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.
     25
     26PDAF simplifies the implementation of data assimilation systems using existing model code by the following:
    2527
    2628 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.