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This tool was developed for CES/CP to perform sensitivity tests for multiple parameters on small simulations of NEMO 4.0. It uses [Autosubmit](https://earth.bsc.es/gitlab/es/autosubmit) and a biased random key genetic algorithm (BRKGA) to produce a set of parameters that best fit a corresponding set of observed data.
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This tool was developed for CES/CP to perform sensitivity tests for multiple parameters on small simulations of NEMO 4.0. It uses [Autosubmit](https://earth.bsc.es/gitlab/es/autosubmit) and a biased random key genetic algorithm (BRKGA) to produce a set of parameters that best fit a corresponding set of observed data. At this point, the workflow calculates the ST score as a cost function and uses biogeochemical (chla and bbp700) data.
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