Full catalog/VIIRSJ2_L3m_IOP
VIIRSJ2_L3m_IOP·v2025.0·dataset

How ocean water absorbs and scatters light (NOAA-21 VIIRS)

NOAA-21 VIIRS Level-3 Global Mapped Inherent Optical Properties (IOP) Data, version 2025.0
ocean NASA OB_CLOUD Level 3 active netCDF-4
In plain English

What it measures. Describes how seawater itself absorbs and scatters light—properties like total light absorption and backscattering, plus how much is due to phytoplankton versus dissolved and detrital matter—independent of sun angle.

How it's made. A gridded product derived from VIIRS ocean-color reflectance on the NOAA-21 satellite, run through the GIOP model that infers these optical properties from the measured color of the water.

How & where you'd use it. Supports classifying water types, assessing water clarity, studying ocean biology and chemistry, and comparing results reliably across different satellites.

What's measured

Oceans › Ocean Optics › AbsorptionOceans › Ocean Optics › ScatteringOceans › Ocean Optics › GelbstoffBiosphere › Ecosystems › Aquatic Ecosystems › Plankton › Phytoplankton

Coverage & cadence

  • Time span2022-11-10 → ongoing
  • Measured byNOAA-21 (VIIRS)
  • Processing levelLevel 3
  • Spatial extent-180, -90, 180, 90
  • FormatsnetCDF-4
  • StatusACTIVE

What you can do with it

  • Watch sea-surface temperature and marine heatwaves
  • Spot algal blooms and ocean-colour shifts
  • Support fisheries and coastal monitoring
Official description

The Inherent Optical Properties (IOP) suite provides per-pixel inherent optical properties - quantities that describe how seawater and its constituents absorb and scatter light, independent of illumination or viewing geometry. IOPs are retrieved from spectral Remote Sensing Reflectance (Rrs) using the default configuration of the Generalized Inherent Optical Properties (GIOP) model framework. These products support water-type classification, water-clarity assessment, biogeochemical studies, and forward/adjoint radiative-transfer applications, and they enable more robust cross-sensor comparisons than purely apparent (AOP) products. Geophysical variables in this suite include: - a — Total absorption coefficient (sum of pure water + phytoplankton + CDOM/detritus, m⁻¹) - bb — Total backscattering coefficient (m⁻¹) - aph_445 — Phytoplankton absorption coefficient at 445 nm (m⁻¹) - aph_unc_445 — Uncertainty in absorption due to phytoplankton at 445 nm (m⁻¹) - adg_445 — Combined CDOM + non-algal detritus absorption coefficient at 445 nm; accompanied by adg_s (spectral slope, units nm⁻¹). - adg_unc_445 — Uncertainty in absorption due to gelbstoff and detrital material at 445 nm (m⁻¹). - bbp_445 — Particulate backscattering coefficient at 445 nm (m⁻¹); include bbp_s (power-law slope, unitless) describing spectral shape. - bbp_unc_445 — Uncertainty in particulate backscattering at 445 nm (m⁻¹). - rrsdiff — Fractional mean Rrs difference (reconstructed from inverted IOPs - input) (needs units).

Get the data

viirsj2_l3m_iop_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="VIIRSJ2_L3m_IOP",
    version="2025.0",
    bounding_box=(-122.5, 37.2, -121.8, 37.9),  # your area (W,S,E,N)
    temporal=("2024-01-01", "2024-12-31"),       # your dates
)
files = earthaccess.open(results)   # stream straight from OB_CLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.