Quality diagnostics for atmosphere data (Aura)
What it measures. Quality and diagnostic information that accompanies the main atmospheric measurements, helping users judge the reliability of those readings.
How it's made. Produced alongside the standard products from the MLS instrument on NASA's Aura satellite, generally on the same near-global grid.
How & where you'd use it. A supporting dataset that researchers consult to check data quality when working with Aura atmospheric products.
What's measured
Coverage & cadence
- Time span2004-08-02 → ongoing
- Measured byAura (MLS)
- Processing levelLevel 2
- Spatial extent-180, -82, 180, 82
- StatusACTIVE
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
ML2DGG is the EOS Aura Microwave Limb Sounder (MLS) product containing geophysical diagnostic quantities pertaining directly to the standard geophysical data products, generally on a similar (or identical) grid, and at different spectral ranges. The data version is 5.0. Data coverage is from August 8, 2004 to current. Spatial coverage is near-global (-82 degrees to +82 degrees latitude), with each profile spaced 1.5 degrees or ~165 km along the orbit track (roughly 15 orbits per day). Vertical resolution varies between species and typically ranges from 3 - 6 km. Users of the ML2DGG data product should read the EOS MLS Level 2 Version 5 Quality Document for more information. The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF-5. Each file contain swaths objects for each diagnostics measurement. Each swath has a set of data and geolocation fields, swath attributes, and metadata.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="ML2DGG",
version="005",
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 HTTP. GET DATA
- Use the Earthdata Search to find and retrieve data sets across multiple data centers. GET DATA
- Data Quality and Description Document VIEW RELATED INFORMATION
- List of publications. VIEW RELATED INFORMATION
- Users are encouraged to register with the MLS science team to obtain updates and information about this data product. VIEW RELATED INFORMATION
- EOS MLS Retrieval Process Algorithm Theoretical Basis VIEW RELATED INFORMATION