OpenDAData assimilation and calibration tools for numerical models.LGPL-3.0
Data assimilation and calibration tools for numerical models.
Connect numerical models to data-assimilation and parameter-calibration methods through a shared interface. OpenDA provides ensemble Kalman filters, a particle filter, 3DVar and optimization methods including Simplex, Powell and conjugate gradient. Researchers can compare compatible methods with their models and expose new methods through the same interface, with language interfaces for Java, C/C++ and Fortran.
OpenDA official README · Reviewed 2026-10-13
GitHub stars
104
Detected license
LGPL-3.0
Repository created
2018-05-25
Repository push
2026-10-23
2018-05-25GitHub release
2026-10-23 · v3.5.0Repository push
2026-10-23
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GitHub release
Published 2026-10-23
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