A new study has developed a generative statistical approach to reanalyse a rare and highly variable phytoplankton dataset collected in a frontal zone south of the Balearic Islands in 2018. This method will be applied to larger datasets, including both global satellite analyses and in situ data (nutrients, fluxes, phytoplankton, zooplankton and grazing rates), such as those acquired during the BioSWOT-Med campaign.
The article entitled A statistical approach to unveil phytoplankton adaptation to ocean fronts (A statistical approach to reveal phytoplankton adaptation to oceanic fronts) has been published in Advances in Statistical Climatology, Meteorology and Oceanography. The study developed a generative statistical approach to reanalyse a rare and highly variable phytoplankton dataset collected in a frontal zone south of the Balearic Islands in the western Mediterranean in 2018.
More information
