References for DassFlow References introducing the approaches, methods, algorithms (and not those focusing on new applications, new flows, databases) Know-hows on VDA & fundamentals of DassFlow’s algorithms: basics of inverse problems, optimal control, gradient-based methods, gradient computations, adjoints (equations, codes), codes assessements, covariances operators, regularizations terms, link with BLUE - Kalman filters etc : J. Monnier, “Variationnal Data Assimilation”, Open Online Course, INSA - University of Toulouse. consult the course. Discharge estimation from altimetry data: HiVDI algorithm (based on 1D and 0.
If using one of the codes, please cite both the code website reference (see bibtex code below) and corresponding research articles. See references: For DassFlow For SMASH DassFlow1D @misc{dassflow-1d, title = {DassFlow (Data Assimilation for Free Surface Flows) computational software}, author = {K. Larnier, J. Monnier et al.}, note = {INSA, Math. Institute of Toulouse (IMT), CS Group, INRae}, url = {https://mathhydronum.insa-toulouse.fr/}, year={2023}, } Download DassFlow2D @misc{dassflow-2d, title={DassFlow (Data Assimilation for Free Surface Flows) computational software}, author={L.
Are DassFlow and SMASH freewares open-source? Yes, they are freely distributed under GNU AFFERO GENERAL PUBLIC LICENSE. If you use or adapt one of these codes, please cite: See How to Cite and References . Is it free for commercial use? No. Commercial use is allowed with an agreement in due form only. How to cite the use of the code? You can find up-to-date bibtex code for each code in How to Cite .