Ozone estimation with the ABI

Estimating total column ozone (TCO) via regression was first developed at the Cooperative Institute for Meteorological Satellite Studies (CIMSS) in the late 1990s for use with data from the GOES Sounder. Whereas previously ozone had been seen a something that only needed daily monitoring at best, the hourly updates and 10 km resolution of the GOES Sounder showed ozone to be a dynamic quantity that correlated very well with tropopause heights and by extension the weather we experience every day. The GOES-R Advanced Baseline Imager makes it possible to continue this legacy product with better temporal and spatial resolution. TCO data is useful for aerosol transport studies and can be used to monitor tropopause fold events, and with high spatial and temporal resolution can assist in detecting potential areas of turbulence. The ABI Ozone algorithm has been developed and tested using proxy data consisting of imagery from the Meteosat Second Generation (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI). SEVIRI is substantially similar to ABI with respect to ozone estimation and allows for testing with an extensive set of proxy data. This proxy dataset allows for creation of a large validation dataset when co-located with data from the Ozone Monitoring Instrument (OMI) on NASA's Aura satellite.