Particulate Organic Carbon (POC) concentration data derived from ocean-color reflectance measured by the VIIRS instrument on the NOAA-21 satellite. The dataset supports quantification of surface carbon stocks and biogeochemical studies, produced by OB_CLOUD and identified as version 2025.0.
Use Cases
- Model surface carbon stocks by analyzing the 'poc' concentration variable across global ocean regions.
- Study biogeochemical cycles by correlating 'poc' data with other geophysical variables like chlor_a and SST mentioned in the suite.
- Validate satellite-derived POC algorithms, such as the Stramski et al. 2022 version for PACE, using the provided 'poc' field.
- Investigate ecological contexts by examining spatial and temporal patterns in the mapped 'poc' concentration data.
Strengths
- Provides a globally mapped geophysical variable ('poc') for ocean surface analysis.
- Integrates with a suite of related variables (chlor_a, bbp, Kd_490, SST) for contextual studies.
- Based on the NOAA-21 VIIRS instrument, a recognized source for Earth observation data.
Limitations
- Specific row count, spatial resolution, and temporal coverage for the 2025.0 version are unknown.
- Data quality and uncertainty metrics for the 'poc' variable are not provided in the description.
- Relies on satellite reflectance, which can be affected by atmospheric conditions and cloud cover.
Provenance
- Source
- NASA Earthdata (platform), with data from the NOAA-21 satellite VIIRS instrument.
- Collection Method
- Derived from ocean-color reflectance measurements processed into Level-3 mapped products.
- Time Range
- null
- Freshness
- null
- Geography
- Global ocean coverage.