The sensitivity of pCO2 reconstructions in the Southern Ocean to sampling scales: a semi-idealized model sampling and reconstruction approach

• Main Authors: Djeutchouang, Laique Merlin, Chang, Nicolette, Gregor, Luke, Vichi, Marcello, Monteiro, Pedro M. S.
• Format: Dataset
• Language: unknown
• Published: Zenodo 2021
• Subjects: Marine carbonate system, Observing system simulation experiment, Machine learning, Surface ocean pCO2 predictions,; Southern Ocean
• Online Access: https://dx.doi.org/10.5281/zenodo.5788735; https://zenodo.org/record/5788735

The data stored in this repository are part of the manuscript entitled "The sensitivity of pCO2 reconstructions in the Southern Ocean to sampling scales: a semi-idealized model sampling and reconstruction approach" submitted in consideration for publication for in European Geosciences Union: Biogeosciences. The netcdf file includes oceanographic (physical + biogeochemical) data, namely the partial pressure of carbon dioxide (pCO2) data at the surface ocean from the high-resolution (±10km) forced NEMO-PISCES coupled ocean model (BIOPERIANT12) and from the semi-idealized observing system simulation experiments (OSSEs) we performed.