Active Software Projects:

• PyOED: Extensivel Toolkit for Data assimilation and Optimal Design of experiments. Source code (Gitlab).
• DOERL: Design of experiments using Reinforcement Learning. Source code (Gitlab).
• DLiDA: Doppler Lidar Data Assimilation. A PETSc\/HyPar-based package for ensemble-based data assimilation of high-resolution wind measurements into a large-scale atmospheric model. DLiDA Webpage.

Previous Software Projects:

• DATeS: Advanced Data Assimilation (DA) Testing Suit written mainly in Python but it gives the freedom to combine\/glue pieces written in different languages such as models written in Fortran, filters written in C, etc. Source code (Bitbucket;no-longer-maintained), Technical paper.
• DAPack(PY-DA*): An Extensible Python Package for Data Assimilation. Download and documentation.