Use of genetic algorithms for ocean model parameter optimisation: a case study using PISCES-v2_RC for North Atlantic particulate organic carbon

25 pages, 13 figures, 5 tables, 3 appendixes.-- Code availability: The code of NEMO v4.0.1 and PISCES-v2_RC are publicly available at https://www.nemo-ocean.eu/ (last access: April 2021), https://doi.org/10.5281/zenodo.3878122 (Madec et al., 2022). The PISCES 1D configuration used in this study is available at https://earth.bsc.es/gitlab/mgalitap/p1d_share/-/tree/gapoc/ (last access: May 2021) and https://doi.org/10.5281/zenodo.5243343 (Galí et al., 2021b). The code for the workflow of the genetic algorithm is readily available at https://doi.org/10.5281/zenodo.5205760 (Falls et al., 2021).-- Data availability: These data were collected and made freely available by the international Argo programme and the national programmes that contributes to it (https://argo.ucsd.edu, last access: April 2021; https://www.ocean-ops.org, last access: May 2021). The Argo programme is part of the Global Ocean Observing System. The repository that contains the processed BGC–Argo data and matching PISCES 1D simulations, titled “Datasets for the comparison between POC estimated from BGC–Argo floats and PISCES model simulations”, is readily available at https://doi.org/10.5281/zenodo.5139602 (Galí et al., 20211)

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Bibliographic Details
Main Authors: Falls, Marcus, Bernardello, Raffaele, Castrillo, Miguel, Acosta, Mario, Llort, Joan, Galí, Martí
Other Authors: Fundación "la Caixa"
Format: artículo biblioteca
Language:English
Published: European Geosciences Union 2022-07
Online Access:http://hdl.handle.net/10261/278862
http://dx.doi.org/10.13039/501100011033
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Summary:25 pages, 13 figures, 5 tables, 3 appendixes.-- Code availability: The code of NEMO v4.0.1 and PISCES-v2_RC are publicly available at https://www.nemo-ocean.eu/ (last access: April 2021), https://doi.org/10.5281/zenodo.3878122 (Madec et al., 2022). The PISCES 1D configuration used in this study is available at https://earth.bsc.es/gitlab/mgalitap/p1d_share/-/tree/gapoc/ (last access: May 2021) and https://doi.org/10.5281/zenodo.5243343 (Galí et al., 2021b). The code for the workflow of the genetic algorithm is readily available at https://doi.org/10.5281/zenodo.5205760 (Falls et al., 2021).-- Data availability: These data were collected and made freely available by the international Argo programme and the national programmes that contributes to it (https://argo.ucsd.edu, last access: April 2021; https://www.ocean-ops.org, last access: May 2021). The Argo programme is part of the Global Ocean Observing System. The repository that contains the processed BGC–Argo data and matching PISCES 1D simulations, titled “Datasets for the comparison between POC estimated from BGC–Argo floats and PISCES model simulations”, is readily available at https://doi.org/10.5281/zenodo.5139602 (Galí et al., 20211)