From aaed70c2339e9b456ce489246b8af3c7af93f343 Mon Sep 17 00:00:00 2001 From: Thea Vuik Date: Fri, 27 Feb 2026 12:06:44 +0100 Subject: [PATCH] Update README --- README.md | 25 ++++++++----------------- 1 file changed, 8 insertions(+), 17 deletions(-) diff --git a/README.md b/README.md index 421101ccf..00ca663be 100644 --- a/README.md +++ b/README.md @@ -3,14 +3,10 @@ # OpenDA -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. +OpenDA is an open interface standard for (and free implementation of) a set of tools to quickly apply data-assimilation and calibration to arbitrary numerical models. It aims to lower implementation costs and promote the sharing of software among researchers and practitioners. +Models compatible with the OpenDA standard can access all OpenDA tools, enabling experimentation with data-assimilation and calibration methods without extensive programming. Similarly, developers who make their methods OpenDA-compatible can share them with all users, either freely or commercially. OpenDA has been designed for high performance, making it suitable for large-scale models. It allows users to optimize the interaction between their models and the data-assimilation or calibration methods, achieving efficiency comparable to custom implementations. -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. - -OpenDA is an Open Source project. Contributions are welcome from anyone wishing to participate in the further development of the OpenDA toolset. -More information about the development process is found [here](./INSTALL.md) +OpenDA is an open-source project. The OpenDA documentation is available at https://docs.openda.org. Contributions are welcome from anyone interesting in enhancing the toolset. More information about the development process can be found [here](./INSTALL.md). ## Features of OpenDA @@ -26,17 +22,14 @@ Data-assimilation methods Parameter estimation (calibration) methods: -- Dud -- Sparse Dud -- Simplex -- Powell +- Dud and Sparse Dud +- Simplex, Powell - Gridded full search -- Shuffled Comples Evolution (SCE) +- Shuffled Complex Evolution (SCE) - Generalized Likelihood Uncertainty Estimation (GLUE) - (L)BFGS - Conjugate Gradient: Fleetjer-Reeves, Polak-Ribiere, Steepest Descent -- Uncertainty Analaysis methods -- GLUE +- Uncertainty Analysis methods - DELSA Language interfaces @@ -45,6 +38,4 @@ Language interfaces - Java - Fortran77/90 -These files are part of the OpenDA software. For more information see our website at -http://www.openda.org - +For more information, visit the OpenDA website: https://openda.org.