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In the EU-funded project SEAMLESS (https://www.seamlessproject.org/) we have developed EAT - Ensemble and Assimilation Tool - that combines GOTM/FABM and PDAF (https://pdaf.awi.de/trac/wiki) in a user-friendly tool that allows doing realistic data assimilation experiments in a 1D model context.
Further information can be found at the wiki: https://github.com/BoldingBruggeman/eat/wiki. Here extensive documentation on the installation and use of EAT is provided, including topics like ensemble generation, observation handling and the use of built-in and user-developed plugins.
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Dear Karsten and Jorn,
thanks a lot about this information on EAT. I am deeply impressed that
GOTM can now do data assimilation. Congratulation to this implementation
and congratulations also to your submitted manuscript. I hope that this
tool will be widely used in marine research.