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Full catalog/TRPSCRO3SM3D
TRPSCRO3SM3D·v1·dataset

Uncertainty in reanalyzed ozone, monthly (3D)

TROPESS Chemical Reanalysis O3 Spread Monthly 3-dimensional Product V1 (TRPSCRO3SM3D) at GES DISC
atmosphere NASA GES_DISC Level 4 active
In plain English

What it measures. How uncertain the reanalyzed ozone estimates are, month by month and at many altitudes. Rather than ozone itself, it reports the 'spread' among model runs as a confidence indicator.

How it's made. Produced from the same chemical reanalysis system that blends multiple satellite sensors into a model; this product captures the disagreement (ensemble spread) across that analysis from 2005 to 2021.

How & where you'd use it. A companion error estimate that researchers use alongside the ozone data to judge how trustworthy the values are in different places and times.

What's measured

ATMOSPHERE › ATMOSPHERIC CHEMISTRY › OXYGEN COMPOUNDS › ATMOSPHERIC OZONE

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 O3 Spread Monthly 3-dimensional Product contains the ozone 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

trpscro3sm3d_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="TRPSCRO3SM3D",
    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.