Physical and biogeochemical data from SEA-EXPLORER gliders in the Ligurian Sea in 2018

The dataset regroups the 7 Sea-Explorer glider sections with TSO2, Chla, BB700 and CDOM profiles from 0 to 600m depth from Jan to May 2018.  Each section represents a round-trip from Nice to Calvi. The files include a dataset of TA, DIC, pH predicted from CANYON-MED neural network based on TSO2 glider profiles. The pCO2 has been estimated from DIC-pH using the CO2SYS v3 toolbox. All data are in Matlab format and QC 1 (good data).
Dataset Identifier
physical-and-biogeochemical-data-from-sea-explorer-gliders-in-the-ligurian-sea-in-2018@pndb
Source
PNDB
Last processing
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Dataset schema

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