OpenDA

Open data assimilation toolbox. OpenDA is an open interface standard for a set of tools to quickly implement data-assimilation and calibration for arbitrary numerical models.

4
contributors

What OpenDA can do for you

  • Provides researchers with a tool for experimentation with data-assimilation/calibration methods without the need for extensive programming
  • Enables quick implementation of data-assimilation and calibration for arbitrary numerical models
  • No need to learn and implement many different Data Assimilation and calibration algorithms/methods
  • Successfully used in many applications and publications: e.g., eWaterCycle I & II, OpenFOAM, Clever Monitoring.

OpenDA is an open interface standard for (and free implementation of) a set of tools to quickly implement data-assimilation and calibration for arbitrary numerical models. OpenDA wants to stimulate the use of data-assimilation and calibration by lowering the implementation costs and enhancing the exchange of software among researchers and end-users.
A model that conforms to the OpenDA standard can use all the tools that are available in OpenDA. This allows experimentation with data-assimilation/calibration methods without the need for extensive programming. Reversely, developers of data-assimilation/calibration software that make their implementations compatible with the OpenDA interface will make their new methods usable for all OpenDA users (either for free or on a commercial basis).
OpenDA has been designed for high performance. Hence, even large-scale models can use it. Also, OpenDA allows users to optimize the interaction between their model and the data-assimilation/calibration methods. Hence, data-assimilation with OpenDA can be as efficient as with custom-made implementations of data-assimilation methods.

Keywords
Programming languages
  • Java 40%
  • Fortran 28%
  • Python 12%
  • C 8%
  • Shell 4%
  • C# 2%
  • Makefile 2%
  • C++ 1%
  • TeX 1%
  • Other 2%
License
  • LGPL-3.0
</>Source code

Participating organisations

Environment & Sustainability
Environment & Sustainability
Delft University of Technology
Deltares
Netherlands eScience Center
OpenDA
VORtech

Contributors

Niels  Drost
Niels Drost
SH
Stef Hummel
Deltares

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Overcoming the challenge of locality using a community multi-model environment

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Large Scale Data Assimilation in the eWatercycle global hydrological model

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eWaterCycle

Global water information when it matters

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