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Full catalog/TRPSCRQ2H2D
TRPSCRQ2H2D·v1·dataset

How humid the air is near the ground (every 2 hours)

TROPESS Chemical Reanalysis Surface Specific Humidity 2-Hourly 2-dimensional Product V1 (TRPSCRQ2H2D) at GES DISC
atmosphere NASA GES_DISC Level 4
In plain English

What it measures. How humid the air is right near the ground (surface specific humidity), provided every two hours across the globe for the years 2005 to 2021.

How it's made. Comes from a chemical reanalysis that blends a model with many satellite observations to produce a consistent record, at roughly 1-degree resolution.

How & where you'd use it. A meteorological field useful for studying near-surface moisture and supporting atmospheric chemistry and climate analyses.

What's measured

ATMOSPHERE › ATMOSPHERIC WATER VAPOR › WATER VAPOR INDICATORS › HUMIDITY › SPECIFIC HUMIDITY

Coverage & cadence

  • Time span2005-01-01 → 2021-12-31
  • 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 Specific Humidity 2-Hourly 2-dimensional Product contains surface specific humidity values, a meteorological field. 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 2-hourly 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

trpscrq2h2d_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="TRPSCRQ2H2D",
    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.