Particulate Organic Carbon concentration data derived from ocean-color reflectance measured by the VIIRS instrument on the NOAA-20 satellite. The dataset is produced by OB_CLOUD and is based on the 2022.0 version of the processing algorithm. It supports quantification of surface carbon stocks and biogeochemical studies.
Use Cases
- Quantify surface ocean carbon stocks by analyzing the `poc` concentration field.
- Study biogeochemical cycles by correlating `poc` data with other variables like chlor_a or SST.
- Validate and improve ocean-color algorithms for POC retrieval, referencing the Stramski et al. 2022 method for PACE.
- Investigate ecological contexts by examining spatial and temporal patterns in the `poc` geophysical variable.
Strengths
- Provides a globally mapped product for consistent spatial analysis.
- Based on the updated 2022.0 version of the processing algorithm.
Limitations
- Specific row count, spatial resolution, and temporal coverage are unknown.
- Derived from satellite reflectance, which can be affected by atmospheric conditions and cloud cover.
Provenance
- Source
- NOAA-20 VIIRS satellite data, processed by OB_CLOUD.
- Collection Method
- Derived from ocean-color reflectance using the algorithm by D. Stramski (2007/2022).
- Time Range
- null
- Freshness
- null
- Geography
- Global ocean coverage.