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Full catalog/TEMPO_O3TOT_L3
TEMPO_O3TOT_L3·vV04·dataset

Total ozone overhead, mapped (TEMPO)

TEMPO gridded ozone total column V04 (PROVISIONAL) 
atmosphere NASA LARC_CLOUD Level 3 active netCDF-4
In plain English

What it measures. The total amount of ozone in the column of air overhead, mapped onto a regular grid across the area TEMPO watches, along with some cloud and surface details.

How it's made. Made by combining many individual TEMPO scenes from one East-West scan into a single gridded map using an area-weighted method.

How & where you'd use it. Useful for monitoring ozone over North America, which matters for air quality and for how much harmful ultraviolet light reaches the surface. This is a provisional product.

What's measured

ATMOSPHERE › ATMOSPHERIC CHEMISTRY › OXYGEN COMPOUNDS › ATMOSPHERIC OZONEATMOSPHERE › AEROSOLS › AEROSOL OPTICAL DEPTH/THICKNESS › UV AEROSOL INDEXATMOSPHERE › CLOUDS › CLOUD PROPERTIES › CLOUD FRACTION

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

Total ozone Level 3 (PROVISIONAL) 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="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.