Data-assimilation with GOTM

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Karsten Bolding

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Jan 5, 2024, 6:19:50 AMJan 5
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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.

A high-level description of EAT, including examples, can be found in the preprint: https://doi.org/10.5194/gmd-2023-238

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.

Any questions regarding the use of EAT - and potential issues - should be recorded on the EAT Issues page: https://github.com/BoldingBruggeman/eat/issues.

Hans Burchard

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Jan 5, 2024, 11:31:04 AMJan 5
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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.

Best regards, Hans.
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Hans Burchard, Prof. Dr.

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Leibniz Institute for Baltic Sea Research Warnemünde
Physical Oceanography and Instrumentation
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