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Full catalog/Aqua_AIRS_MODIS1km_IND
Aqua_AIRS_MODIS1km_IND·v1·dataset

Helper file matching two instruments' pixels (Aqua)

Aqua AIRS-MODIS 1-km Matchup Indexes V1 (Aqua_AIRS_MODIS1km_IND) at GES_DISC
atmosphere NASA GES_DISC Level 2
In plain English

What it measures. Not an Earth measurement itself, but a lookup table that matches up pixels from two instruments on the same satellite, telling you which AIRS observation lines up with which 1-kilometer MODIS pixel.

How it's made. Generated as a collocation index for the Aqua satellite's AIRS and MODIS instruments, built as part of a long-term water vapor, temperature, and cloud data-records project.

How & where you'd use it. A helper file for researchers who need to combine AIRS and MODIS data accurately. It is used alongside those instruments' data rather than offering observations of its own.

What's measured

ATMOSPHERE › CLOUDS

Coverage & cadence

  • Time span2002-08-31 → 2025-11-25
  • Measured byAqua (MODIS, AIRS)
  • Processing levelLevel 2
  • 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

This dataset includes Aqua AIRS to MODIS 1-km collocation index product, within the framework of the Multidecadal Satellite Record of Water Vapor, Temperature, and Clouds (PI: Eric Fetzer) funded by NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, 2017. The dataset is built upon work by Wang et al. (doi: 10.3390/rs8010076) and Yue (doi:10.5194/amt-15-2099-2022). The short name for this collections is Aqua_AIRS_MODIS1km_IND

Get the data

aqua_airs_modis1km_ind_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="Aqua_AIRS_MODIS1km_IND",
    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.