(2023). Physical and biogeochemical data from SEA-EXPLORER gliders in the Ligurian Sea in 2018. SEANOE. https://doi.org/10.17882/95145
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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).
Chemical oceanography, Physical oceanography
44.842982N, 42.623894S, 10.808907E, 7.506021W
File | Size | Format | Processing | Access | end of embargo | |
---|---|---|---|---|---|---|
readme | 462 octets | TEXT | - | |||
data | 442 Mo | matlab | Quality controlled data | 2025-05-01 |
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