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Full catalog/TRPSCRNO22H2D
TRPSCRNO22H2D·v1·dataset

Nitrogen dioxide pollution at the surface, every 2 hours

TROPESS Chemical Reanalysis Surface NO2 2-Hourly 2-dimensional Product V1 (TRPSCRNO22H2D) at GES DISC
atmosphere NASA GES_DISC Level 4
In plain English

What it measures. Surface-level nitrogen dioxide pollution, given every two hours across the day, on a coarse global grid covering the years 2005 to 2021.

How it's made. Produced by a chemical reanalysis (TCR-2) that blends readings from multiple satellite sensors into a model, simultaneously adjusting both pollution amounts and emissions.

How & where you'd use it. Useful for studying how air pollution rises and falls through the day and over the years, and for research into emissions and atmospheric chemistry.

What's measured

ATMOSPHERE › ATMOSPHERIC CHEMISTRY › NITROGEN COMPOUNDS › NITROGEN DIOXIDE

Coverage & cadence

  • Time span2005-01-01 → 2021-12-31
  • 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 2-Hourly 2-dimensional Product contains surface concentrations of nitrogen dioxide. 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 2-hourly resolution, and a spatial resolution of 1.125 x 1.125 degrees. The principal investigator for the TCR-2 data is Miyazaki, Kazuyuki.

Get the data

trpscrno22h2d_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="TRPSCRNO22H2D",
    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.