Old monthly weather and temperature grids (NOAA-12)
What it measures. Monthly snapshots of atmospheric conditions like temperature, laid out on a worldwide grid of roughly 100-kilometer squares. The numbers come from older weather-sounder readings reworked into easy-to-map averages.
How it's made. Built from microwave and infrared sounding instruments on the NOAA-12 satellite, then processed with a retrieval method developed in France and averaged into monthly 1-degree grids as part of NASA's TOVS Pathfinder project.
How & where you'd use it. Useful for studying long-term weather and climate patterns from the early 1990s, especially for researchers piecing together a consistent historical record across older satellites.
What's measured
Coverage & cadence
- Time span1991-06-30 → 1995-07-01
- Measured byNOAA-12 (HIRS/2, MSU, TOVS)
- Processing levelLevel 3
- 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
Level 3 parameters from HIRS/2 and MSU radiances using the Improved Initialization Inversion (3I) classification retrieval scheme by the Laboratoire de Meteorologie Dynamique (Ecole Polytechnique) averaged over 1 month and mapped on to a 1x1 degree grid. This data was run as part of the NASA TOVS Pathfinder project and designated as Path-B. This dataset contains data from the NOAA-12 satellite.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="TOVSBMND",
version="01",
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. Official links
- Access the data via HTTPS. GET DATA
- Use the Earthdata Search to find and retrieve data sets across multiple data centers. GET DATA
- README Document VIEW RELATED INFORMATION