October 11, 2022

Accessing and Analyzing Air Quality Data from Geostationary Satellites

The next generation of sensors in geostationary orbit offer unprecedented temporal resolution for air quality observations. Low Earth orbit satellites (e.g., MODIS, VIIRS, OMI, TROPOMI) can provide global coverage, but typically observe a given location one to two times per day. Sensors in geostationary orbit observe the same geographic region at all times of the day. These datasets are essential for understanding diurnal changes in air quality, monitoring real-time movement of smoke and dust events, and improving model forecasting capabilities via data assimilation.

This will be a three-part webinar series in partnership with the National Oceanic and Atmospheric Administration (NOAA) and the National Institute Of Environmental Research (NIER, South Korea) on air quality (AQ) data analysis from geostationary satellites. The webinar series will a) provide an overview of geostationary capabilities for monitoring air quality around the world; b) introduce geostationary aerosol datasets from GOES-East, GOES-West, Himawari 8, and the Geostationary Environment Monitoring Spectrometer (GEMS); and 3) present data access and python tools to read and analyze the datasets.

Relevant UN Sustainable Development Goals:
• Target 3.9: By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination

Location: Online Course
Host: NASA Applied Remote Sensing Training Program (ARSET)
Type: Online Course
Contact: brock.blevins@nasa.gov
Language: en