Earth Data School
About
Full catalog/TRPSCRNO2SM3D
TRPSCRNO2SM3D·v1·dataset

Spread in monthly air pollution (NO₂) estimates, 3D

TROPESS Chemical Reanalysis NO2 Spread Monthly 3-dimensional Product V1 (TRPSCRNO2SM3D) at GES DISC
atmosphere NASA GES_DISC Level 4 active
In plain English

What it measures. Not a pollution measurement itself, but a measure of how uncertain the nitrogen dioxide estimates are — the spread among different model runs — laid out in three dimensions through the atmosphere and averaged by month.

How it's made. Produced by a chemical reanalysis system that blends multiple satellite measurements with atmospheric models to estimate both pollution levels and their uncertainty.

How & where you'd use it. Helps scientists judge how much to trust the companion air-pollution estimates and is used in research and model evaluation rather than directly by the public.

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 Monthly 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 monthly 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

trpscrno2sm3d_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="TRPSCRNO2SM3D",
    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.