Great Lakes data collection for validating NASA PACE OCI satellite ocean color measurements. The program employs a three-tiered strategy including seasonal cruises, a dedicated super-site, and opportunistic sampling. It is managed by the OB_DAAC organization.
Use Cases
- Validate satellite-derived chlorophyll-a concentrations from PACE OCI using paired laboratory-measured biochemical parameters.
- Model inherent optical properties (IOPs) like absorption and scattering from discrete station vertical profile data.
- Calibrate apparent optical properties (AOPs) such as remote sensing reflectance with flow-through surface observations.
- Assess spatial and temporal variability in Great Lakes water quality by linking cruise data to externally funded monitoring programs.
Strengths
- Data collection follows best practices and protocols established in the IOCCG series.
- Measurement activities include documented uncertainty estimates for reliability.
- Strategy includes multiple data sources: recurring seasonal cruises, a super-site, and cruises of opportunity.
Limitations
- Specific sample size, temporal coverage, and geographic resolution within the Great Lakes are unknown.
- Data availability and access details for end-users are not specified.
Provenance
- Source
- OB_DAAC via NASA Earthdata (nasa_earthdata).
- Collection Method
- Collected via ship-based monitoring cruises, including discrete station vertical profiles and flow-through surface observations, following IOCCG protocols.
- Time Range
- null
- Freshness
- null
- Geography
- Great Lakes region.