Full catalog/VIIRSJ1_L2_IOP_NRT
VIIRSJ1_L2_IOP_NRT·v2022.0·dataset

How ocean water absorbs and scatters light, live (NOAA-20)

NOAA-20 VIIRS Level-2 Regional Inherent Optical Properties (IOP) - Near Real-time (NRT) Data, version 2022.0
ocean NASA OB_CLOUD Level 2 active netCDF-4
In plain English

What it measures. Per-pixel descriptions of how ocean water and the things in it soak up and scatter light, including total absorption, total backscattering, and how much light phytoplankton absorb. These properties don't depend on lighting or viewing angle. This is a quick-turnaround version made from less-than-ideal inputs.

How it's made. Calculated from the VIIRS sensor on the NOAA-20 satellite by feeding its measured ocean color into the GIOP optical model; produced in near real-time so it's available fast but less polished than the standard product.

How & where you'd use it. Useful for judging water clarity, classifying water types, studying ocean biology and chemistry, and comparing results across different sensors.

What's measured

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

Coverage & cadence

  • Time span2017-11-29 → ongoing
  • Measured byNOAA-20 (VIIRS)
  • Processing levelLevel 2
  • 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 Ocean Biology DAAC produces near real-time (NRT) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Near real-time products provide a snapshot of the data during a short time period within a single orbit. 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) - l2_flags – Level-2 processing flags (bitmask; see per-variable attributes for flag_masks and flag_meanings). - 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

viirsj1_l2_iop_nrt_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="VIIRSJ1_L2_IOP_NRT",
    version="2022.0",
    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.