Copy this text
30 months dataset of glider physico-chemical data off Mayotte Island near the Fani Maore volcano
In May 2018, an unprecedented long and intense seismic-volcanic crisis broke out off the island of Mayotte (Indian Ocean) and was associated with the birth of the Fani Maoré underwater volcano. Since then, an integrated observation network has been created (REVOSIMA), with the given objective of monitoring and better understanding underwater volcanic phenomena. Recently, an unmanned submarine glider (SeaExplorer) has been deployed to supplement the data obtained during oceanographic surveys (MAYOBS) which are carried out on an annual basis. This glider is operated by ALSEAMAR and performed a continuous monitoring of 30 months of the water column with the objective to acquire hydrological properties, water currents and dissolved gas concentrations.
This monitoring already showed that it is feasible and valuable to measure autonomously, continuously and at a high spatio-temporal scale, physical (TEMP, SAL, water currents) and biogeochemical parameters (O2, CH4, PCO2, bubbles/droplets, vertical speeds) over several months from a SeaExplorer glider. In particular, innovating sensing capabilities (e.g., MINI-CO2, ADCP) have shown a great potential in the context of the Mayotte seismic volcano crisis, despite technical challenges (complex algorithms, sensor capabilities, etc.).
This dataset provides these physical and biogeochemical parameters from September 17, 2021 to April 02, 2024 and the quality flags associated.
Disciplines
Chemical oceanography, Physical oceanography
Keywords
Glider, Underwater volcano, CTD, Dissolved oxygen, Methane, Carbon dioxide, Mayotte
Location
-12.562798N, -13.2134S, 45.718762E, 44.951093W
Devices
Find sensors metadata in the Metadata docx file
Data
File | Size | Format | Processing | Access | |
---|---|---|---|---|---|
Metadata file | 562 Ko | ||||
acoustic backscatter data derived from ADCP | 241 Mo | CSV | Quality controlled data | ||
hydrological and dissolved gases data | 67 Mo | CSV | Quality controlled data | ||
honrizontal current data derived from ADCP | 10 Mo | CSV | Quality controlled data | ||
vertical current anomaly data derived from ADCP | 187 Mo | CSV | Quality controlled data |