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Full catalog/TRPSCRENOXTM2D
TRPSCRENOXTM2D·v1·dataset

Total nitrogen-oxide emissions, monthly map

TROPESS Chemical Reanalysis Surface Total NOx emissions Monthly 2-dimensional Product V1 (TRPSCRENOXTM2D) at GES DISC
atmosphere NASA GES_DISC Level 4 active
In plain English

What it measures. Monthly maps of total nitrogen-oxide emissions (NO and NO2) from all sources combined, both natural and human.

How it's made. Produced by the same reanalysis system that merges multiple satellites' observations with chemistry models, spanning 2005 to 2021 on a coarse global grid.

How & where you'd use it. Useful for seeing the full picture of where nitrogen oxides enter the air worldwide and how those totals shift over time, which matters for air-quality and climate research.

What's measured

ATMOSPHERE › ATMOSPHERIC CHEMISTRY › NITROGEN COMPOUNDS › NITROGEN OXIDES

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 Surface Total NOx emissions Monthly 2-dimensional Product contains nitrogen oxides (NO and NO2) emissions from the total of all sources. 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. The principal investigator for the TCR-2 data is Miyazaki, Kazuyuki.

Get the data

trpscrenoxtm2d_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="TRPSCRENOXTM2D",
    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.