Global mapped data of Particulate Organic Carbon (POC) concentration derived from MODIS ocean-color reflectance. The dataset supports biogeochemical and carbon export studies, providing ecological context alongside other ocean variables. It is produced by OB_CLOUD and represents version 2022.0.
Use Cases
- Quantify surface carbon stocks by analyzing the `poc` concentration variable across ocean basins.
- Support biogeochemical modeling by correlating `poc` data with other suite variables like chlor_a, bbp, Kd_490, and SST.
- Study carbon export fluxes using the global spatial distribution of the `poc` geophysical variable.
- Provide ecological context for marine productivity by mapping `poc` concentrations derived from the 443/555 nm algorithm.
Strengths
- Global spatial coverage provides a complete view of surface ocean POC.
- Data is derived from the established MODIS satellite sensor.
- Algorithm is based on peer-reviewed work from 2007 and updated for PACE in 2022.
Limitations
- Specific row count, temporal range, and spatial resolution are unknown.
- Relies on satellite reflectance, which can be affected by atmospheric conditions and cloud cover.
- The POC algorithm (443/555 version) may have regional biases or uncertainties.
Provenance
- Source
- NASA Earthdata (nasa_earthdata) via OB_CLOUD.
- Collection Method
- Derived from MODIS satellite ocean-color reflectance using the D. Stramski (2007) algorithm.
- Time Range
- null
- Freshness
- null
- Geography
- Global ocean coverage.