PACE OCI Level-3 data provides global mapped concentrations of particulate organic carbon (POC) derived from ocean-color reflectance. The dataset supports quantification of surface carbon stocks and biogeochemical studies, produced by OB_CLOUD for NASA's Earthdata platform. It utilizes algorithms from Stramski (2007) and Stramski et al. (2022) for the PACE mission.
Use Cases
- Estimating global surface carbon stocks using the mapped poc concentration field.
- Conducting biogeochemical and export-flux studies by analyzing spatial and temporal patterns in poc data.
- Providing ecological context by correlating poc with other oceanographic variables like chlor_a, bbp, Kd_490, and SST.
Strengths
- Derived from the PACE OCI instrument, a state-of-the-art ocean color sensor.
- Provides a global mapped product for consistent spatial analysis.
- Based on established algorithms from Stramski (2007) and updated for PACE in 2022.
Limitations
- Specific temporal coverage, spatial resolution, and validation metrics are not provided in the input.
- Uncertainty regarding data completeness and potential gaps in global coverage is unknown.
- The relationship between the 2007 and 2022 algorithm versions may require careful interpretation.
Provenance
- Source
- NASA Earthdata via OB_CLOUD, utilizing the PACE OCI instrument.
- Collection Method
- Derived from satellite ocean-color reflectance measurements using the Stramski et al. algorithm.
- Time Range
- null
- Freshness
- null
- Geography
- Global ocean coverage.