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Full catalog/TEMPO_O3TOT_L3
TEMPO_O3TOT_L3·vV03·dataset

Total ozone over North America (TEMPO, hourly)

TEMPO gridded ozone total column V03 (PROVISIONAL)
atmosphere NASA LARC_CLOUD Level 3 NetCDF-4
In plain English

What it measures. Gives total overhead ozone across North America on an hourly grid, plus extras like cloud fraction and a sulfur dioxide index.

How it's made. Built by merging a full east-west scan of Level-2 files from the TEMPO instrument, which watches the continent from a fixed vantage in geostationary orbit.

How & where you'd use it. Its hourly, daytime coverage helps track how ozone and air quality change through the day; note these are provisional (early-validation) data.

What's measured

ATMOSPHERE › ATMOSPHERIC CHEMISTRY › OXYGEN COMPOUNDS › ATMOSPHERIC OZONE

Coverage & cadence

  • Time span2023-08-02 → 2025-09-16
  • Measured byIS-40e (TEMPO)
  • Processing levelLevel 3
  • FormatsNetCDF-4
  • 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

Total ozone Level 3 files provide ozone 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 total column ozone and some auxiliary derived and ancillary input parameters including effective cloud fraction, effective cloud pressure, radiative cloud fraction, SO2 index, and terrain pressure. The re-gridding algorithm uses an area-weighted approach. These data reached provisional validation on December 9, 2024.

Get the data

tempo_o3tot_l3_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="TEMPO_O3TOT_L3",
    version="V03",
    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.