Inherent optical properties of seawater are derived from satellite-measured remote sensing reflectance using the Generalized Inherent Optical Properties model framework. The dataset includes variables like total absorption and backscattering coefficients, phytoplankton absorption at 445 nm, and associated uncertainties. It is produced by OB_CLOUD from NOAA-20 VIIRS sensor data for the 2022.0 version.
Use Cases
- Classify water types by analyzing the spectral slope (adg_s) and particulate backscattering slope (bbp_s) across global pixels.
- Assess phytoplankton biomass dynamics using the phytoplankton absorption coefficient at 445 nm (aph_445).
- Model underwater light fields for radiative transfer applications using the total absorption (a) and backscattering (bb) coefficients.
- Evaluate retrieval uncertainty in biogeochemical studies by comparing derived IOPs with the provided uncertainty columns (e.g., aph_unc_445, bbp_unc_445).
- Study colored dissolved organic material (CDOM) distribution via the combined CDOM and detritus absorption coefficient (adg_445).
Strengths
- Provides globally mapped data for key ocean optical properties.
- Includes uncertainty estimates for core variables like aph_unc_445 and bbp_unc_445.
- Derived using a standardized model framework (GIOP) for consistency.
Limitations
- Specific row count, spatial resolution, and temporal coverage are not provided in the input.
- Data quality is contingent on the performance of the GIOP model and input Rrs accuracy.
- The version (2022.0) may indicate the data is not the most recent available.
Provenance
- Source
- NASA Earthdata (nasa_earthdata), organization OB_CLOUD.
- Collection Method
- Retrieved from NOAA-20 VIIRS satellite spectral Remote Sensing Reflectance (Rrs) using the Generalized Inherent Optical Properties (GIOP) model.
- Time Range
- null
- Freshness
- null
- Geography
- Global ocean coverage.