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Full catalog/TEMPO_NO2_L3
TEMPO_NO2_L3·vV04·dataset

Nitrogen dioxide air pollution, mapped (TEMPO)

TEMPO gridded NO2 tropospheric and stratospheric columns V04 (PROVISIONAL)
atmosphere NASA LARC_CLOUD Level 3 active netCDF-4
In plain English

What it measures. Maps of nitrogen dioxide, a common air pollutant from traffic and industry, showing how much sits in the lower atmosphere (the part we breathe) and higher up, laid out on a regular grid.

How it's made. Made from the TEMPO instrument, which watches North America from a fixed position in space; many individual scans are combined and re-gridded into these maps. The data is 'provisional', meaning validated but not final.

How & where you'd use it. Lets people track air pollution across the day and region, supporting air-quality monitoring and public health work.

What's measured

ATMOSPHERE › ATMOSPHERIC CHEMISTRY › NITROGEN COMPOUNDS › NITROGEN DIOXIDEATMOSPHERE › AIR QUALITY › NITROGEN OXIDES

Coverage & cadence

  • Time span2023-08-02 → ongoing
  • Measured byIS-40e (TEMPO)
  • Processing levelLevel 3
  • FormatsnetCDF-4
  • StatusACTIVE

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

Nitrogen dioxide Level 3 (PROVISIONAL) files provide trace gas information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on tropospheric and stratospheric nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The re-gridding algorithm uses an area-weighted approach. These data reached provisional validation on December 9, 2024.

Get the data

tempo_no2_l3_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="TEMPO_NO2_L3",
    version="V04",
    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 LARC_CLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.