Haze, dust and smoke in the air, live (Aura)
What it measures. The same airborne-particle product as its standard sibling, measuring how much dust, smoke, and haze dim and absorb ultraviolet sunlight, but delivered quickly.
How it's made. A near-real-time version of the Aura Ozone Monitoring Instrument aerosol product, produced from one orbit at a 13x24 km footprint.
How & where you'd use it. Its speed makes it handy for watching unfolding events like dust outbreaks and wildfire smoke close to the time they happen.
What's measured
Coverage & cadence
- Time span2004-07-15 → ongoing
- Measured byAura (OMI)
- Processing levelLevel Not provided
- Spatial extent-180, -90, 180, 90
- StatusNOT PROVIDED
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 Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product OMAERUV (Version 004) NRT is available from the NASA OMINRT for the public access. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Optical Depth, Aerosol Single Scattering Albedo, Absorption Optical Depth, UV Aerosol Index, and Aerosol Optical Depth over clouds at three wavelengths (354, 388, and 500 nm), and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). The OMAERUV files are stored in the version 4.0 Network Common Data Form (NetCDF). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 17 Mbytes.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="OMAERUV",
version="004",
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 OMINRT Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. Official links
- GET DATA GET DATA