SEAMLESS EAT

SEAMLESS has developed an open-source, user-friendly assimilative modelling tool: SEAMLESS Ensemble and Assimilation Tool (EAT)

SEAMLESS Ensemble and Assimilation Tool

The SEAMLESS has developed the EAT (SEAMLESS Ensemble and Assimilation Tool) (EAT) and it is publicly available on GitHub via – https://github.com/BoldingBruggeman/eat. EAT will be continually developed over and the GitHub page will always have the authoritative version.


Access EAT

The core system of the prototype is a software made up of a 1-dimensional physical model coupled to five biogeochemical models and enabled with data-assimilation capabilities. The five biogeochemical models are used operationally in the Copernicus Marine Service, namely: PISCES, ERSEM, BFM, ECOSMO and ERGOM.
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Training Suite

SEAMLESS provided a range of training to support the uptake and implementation of EAT. Hands-on and virtual workshops provided an opportunity for a range of stakeholders and students to engage and learn how they might be able to use the tool to support their work.

EAT Video tutorial

This demonstration shows you install the ensemble and assimilation tool EAT on a windows and linux system.  You will need anaconda or miniconda installed in order to follow this tutorial.  More information can be found on the EAT wiki here.

Click here to view tutorial

Virtual Training

EAT and Ocean Predict MEAP-Task Team hands-on training workshop.

Workshop recording Workshop slides

Hands-on Training

Workshop in November 2023 explored ocean forecasting and its applications in the Mediterranean sea:  present status, gaps and ways forward. Using Ensemble Assimilation Tool (”EAT") through hands-on training session. In collaboration with MonGOOS.  Training slides available here.
Training

More About EAT

The core system of the prototype is a software made up of a 1-dimensional physical model coupled to five biogeochemical  models and  enabled with data-assimilation capabilities. The five biogeochemical models are used operationally in the Copernicus Marine Service, namely: PISCES, ERSEM, BFM, ECOSMO and ERGOM.

We have named to prototype EAT (SEAMLESS Ensemble and Assimilation Tool) (EAT) and it is publicly available on GitHub via – https://github.com/BoldingBruggeman/eat. EAT will be continually developed over the next few years of the SEAMLESS project and the GitHub page will always have the authoritative version.

EAT builds on other software projects – notably General Ocean Turbulence Model (GOTM – https://gotm.net), Framework for Aquatic Biogeochemical Models (FABM  - https://fabm.net) and the Parallel Data Assimilation Framework (PDAF – http://pdaf.awi.de) and integrates these different components into a software product capable of doing data-assimilation simulations for any GOTM configuration where observations are available.

EAT will not only be a development platform for testing new assimilation methods and new biogeochemical models – but – also a production ready assimilation system for realistic 1D setups.

Realistic set-up are available for using the prototype straightforwardly in five data-reach sites in coastal areas, shelf-seas and open-ocean (stations BATS, L4, M, BOUSSOLE, Arkona) and with biogeochemical-Argo float transects.  

The SEAMLESS prototype was been developed by BB and AWI. Its configurations by PML, OGS, UGA, NERSC and AWI.