Data Assimilation and Inverse Problems:
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DLiDA:
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Ensemble-based Ultr-High-Resolution Data Assimilation with Doppler Lidar Data.
- Check the documentation here.
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Ensemble-based Ultr-High-Resolution Data Assimilation with Doppler Lidar Data.
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DAPack(PY-DA*):
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An Extensible Python Package for Data Assimilation.
- Check the documentation here.
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An Extensible Python Package for Data Assimilation.
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DATeS:
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A highly-extensible data assimilation testing suite.
The core of DATeS is implemented in Python to enable for Object-Oriented capabilities.
The main functionalities, such as the models, the data assimilation algorithms,
the linear algebra solvers, and the time discretization routines are independent of each other,
such as to offer maximum flexibility to configure data assimilation applications.
DATeS can interface easily with large third-party models written in Fortran or C, and with various external solvers.
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check DATeS Article, or
- go to the Download DATeS page.
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check DATeS Article, or
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A highly-extensible data assimilation testing suite.
The core of DATeS is implemented in Python to enable for Object-Oriented capabilities.
The main functionalities, such as the models, the data assimilation algorithms,
the linear algebra solvers, and the time discretization routines are independent of each other,
such as to offer maximum flexibility to configure data assimilation applications.
DATeS can interface easily with large third-party models written in Fortran or C, and with various external solvers.
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Examples and Tutorials: