Full catalog/FIREXAQ_Satellite_Data
FIREXAQ_Satellite_Data·v2·dataset

Wildfire and air-quality satellite data (FIREX-AQ)

FIREX-AQ Satellite And Related Ancillary Data
atmosphere NASA LARC_CLOUD Level 2 netCDF-3PNG
In plain English

What it measures. A collection of satellite and supporting data gathered during the 2019 FIREX-AQ wildfire field study, pulling together observations relevant to fire plumes and air quality.

How it's made. Assembled from the VIIRS instrument on Suomi-NPP and the GOES-16 and GOES-17 weather satellites, packaged alongside the campaign's aircraft and ground measurements.

How & where you'd use it. Helps researchers study how wildfire smoke forms, spreads, and affects air quality, complementing the detailed aircraft sampling done during the campaign.

What's measured

ATMOSPHERE › AIR QUALITYHUMAN DIMENSIONS › ENVIRONMENTAL IMPACTS › BIOMASS BURNINGATMOSPHERE › AIR QUALITY › EMISSIONS

Coverage & cadence

  • Time span2019-07-01 → 2019-09-06
  • Measured bySuomi-NPP (VIIRS) · GOES-17 (CCD IMAGER) · GOES-16 (GOES-16 Imager)
  • Processing levelLevel 2
  • FormatsnetCDF-3, PNG
  • 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

FIREXAQ_Satellite_Data are supplementary satellite and related ancillary data collected during FIREX-AQ. This product includes data from the VIIRS, GOES-16, and GOES-17 satellites. Data collection for this product is complete. Completed during summer 2019, FIREX-AQ utilized a combination of instrumented airplanes, satellites, and ground-based instrumentation. Detailed fire plume sampling was carried out by the NASA DC-8 aircraft, which had a comprehensive instrument payload capable of measuring over 200 trace gas species, as well as aerosol microphysical, optical, and chemical properties. The DC-8 aircraft completed 23 science flights, including 15 flights from Boise, Idaho and 8 flights from Salina, Kansas. NASA’s ER-2 completed 11 flights, partially in support of the FIREX-AQ effort. The ER-2 payload was made up of 8 satellite analog instruments and provided critical fire information, including fire temperature, fire plume heights, and vegetation/soil albedo information. NOAA provided the NOAA-CHEM Twin Otter and the NOAA-MET Twin Otter aircraft to measure chemical processing in the lofted plumes of Western wildfires. The NOAA-CHEM Twin Otter focused on nighttime plume chemistry, from which data is archived at the NASA Atmospheric Science Data Center (ASDC). The NOAA-MET Twin Otter collected measurements of air movements at fire boundaries with the goal of understanding the local weather impacts of fires and the movement patterns of fires. NOAA-MET Twin Otter data will be archived at the ASDC in the future. Additionally, a ground-based station in McCall, Idaho and several mobile laboratories provided in-situ measurements of aerosol microphysical and optical properties, aerosol chemical compositions, and trace gas species. The Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) campaign was a NOAA/NASA interagency intensive study of North American fires to gain an understanding on the integrated impact of the fire emissions on the tropospheric chemistry and composition and to assess the satellite’s capability for detecting fires and estimating fire emissions. The overarching goal of FIREX-AQ was to provide measurements of trace gas and aerosol emissions for wildfires and prescribed fires in great detail, relate them to fuel and fire conditions at the point of emission, characterize the conditions relating to plume rise, and follow plumes downwind to understand chemical transformation and air quality impacts. Data collection is complete.

Get the data

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

results = earthaccess.search_data(
    short_name="FIREXAQ_Satellite_Data",
    version="2",
    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 LARC_CLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.