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Full catalog/TRPSCRNO2S6H3D
TRPSCRNO2S6H3D·v1·dataset

Uncertainty in nitrogen dioxide pollution, every 6 hours, from NASA's TROPESS chemical model

TROPESS Chemical Reanalysis NO2 Spread 6-Hourly 3-dimensional Product V1 (TRPSCRNO2S6H3D) at GES DISC
atmosphere NASA GES_DISC Level 4 active
In plain English

What it measures. Rather than nitrogen dioxide levels themselves, this records the uncertainty in the modeled NO2 estimates, expressed as the spread among an ensemble of model runs. A wider spread means less confidence in the value at that spot and altitude.

How it's made. It comes from a reanalysis (a model that blends satellite measurements with chemistry simulations) covering 2005-2021, gridded across the globe at multiple altitudes every six hours.

How & where you'd use it. Mainly a companion to the NO2 concentration data: it tells researchers how much to trust the pollution estimates in a given place, which matters for air-quality studies and validating models.

What's measured

ATMOSPHERE › ATMOSPHERIC CHEMISTRY › NITROGEN COMPOUNDS › NITROGEN DIOXIDE

Coverage & cadence

  • Time span2005-01-01 → ongoing
  • Measured byREANALYSIS MODELS (NOT APPLICABLE)
  • Processing levelLevel 4
  • Spatial extent-180, -90, 180, 90
  • StatusCOMPLETE

What you can do with it

  • Map air pollutants — NO₂, aerosols, ozone
  • Track greenhouse gases and Earth's energy budget
  • Feed weather and air-quality analysis
Official description

The TROPESS Chemical Reanalysis NO2 Spread 6-Hourly 3-dimensional Product contains the nitrogen dioxide ensemble spread, a measure of data assimilation analysis uncertainty. The data are part of the Tropospheric Chemical Reanalysis v2 (TCR-2) for the period 2005-2021. TCR-2 uses JPL's Multi-mOdel Multi-cOnstituent Chemical (MOMO-Chem) data assimilation framework that simultaneously optimizes both concentrations and emissions of multiple species from multiple satellite sensors. The data files are written in the netCDF version 4 file format, and each file contains a year of data at 6-hourly resolution, and a spatial resolution of 1.125 x 1.125 degrees at 27 pressure levels between 1000 and 60 hPa. The principal investigator for the TCR-2 data is Miyazaki, Kazuyuki.

Get the data

trpscrno2s6h3d_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="TRPSCRNO2S6H3D",
    version="1",
    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 GES_DISC
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.