A 2013 survey collected optical backscatter, oxidation-reduction potential, temperature, salinity, and pressure data over a mid-ocean ridge. The data was gathered using a towed CTD instrument package by the organization AMD_KOPRI. It is designed for detecting hydrothermal plumes based on turbidity and chemical reduction signals.
Use Cases
- Map hydrothermal plume distribution by analyzing spatial patterns in optical backscatter and oxidation-reduction potential signals.
- Correlate temperature and salinity anomalies with chemical sensor data to characterize plume water mass properties.
- Model plume rise height and dispersal using pressure (depth) data alongside turbidity and chemical potential measurements.
Strengths
- Includes multiple sensor types (optical, electrochemical, conventional CTD) for cross-verification of plume signals.
- Data collected via a tow-yo survey method, providing spatial coverage across the ridge.
Limitations
- Dataset size, row count, and specific geographic coordinates are unknown.
- Data is from a single survey in 2013, limiting temporal analysis and long-term trend assessment.
Provenance
- Source
- AMD_KOPRI, accessed via NASA Earthdata.
- Collection Method
- Collected during a tow-yo survey using a CTD instrument package equipped with optical backscatter and oxidation-reduction potential sensors.
- Time Range
- 2013
- Freshness
- null
- Geography
- A mid-ocean ridge (specific location unknown).