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Full catalog/GozSmlpT
GozSmlpT·v1·dataset

Atmospheric temperature by latitude and height, monthly

GOZCARDS Source Temperature 1 month L4 10 degree Zonal Averages on a Vertical Pressure Grid V1 (GozSmlpT) at GES DISC
atmosphere NASA GES_DISC Level 4
In plain English

What it measures. Monthly air temperature averaged around bands of latitude and stacked from near the surface up high into the atmosphere. It also includes spread statistics like the highest, lowest, and typical variation.

How it's made. Calculated as zonal averages from the GMAO MERRA model's temperature output, rather than directly from a satellite instrument.

How & where you'd use it. A reference for studying how atmospheric temperature varies by latitude and altitude, often used alongside other long-term atmospheric chemistry records.

What's measured

ATMOSPHERE › ATMOSPHERIC TEMPERATURE › UPPER AIR TEMPERATURE

Coverage & cadence

  • Time span1979-01-01 → 2012-12-31
  • Measured byMERRA (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 GOZCARDS Source Data for Temperature 1 month L4 10 degree Zonal Averages on a Vertical Pressure Grid product (GozSmlpT) contains zonal means and related information (standard deviation, minimum/maximum value, etc.), calculated from the original products. The source Temperature data are from the GMAO MERRA model product DAS 3d analyzed state MAI6NVANA (v5.2.0; 1979 - onward). The vertical pressure range for Temperature is from 1000 to 0.015 hPa. The GozSmlpT source data are distributed in netCDF4 format.

Get the data

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

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