Application of the GeoXO ACX NO2 Algorithm to GEMS and TEMPO and Intercomparisons with TROPOMI

The atmospheric composition instrument (ACX) on NOAA's GeoXO mission will enhance NOAA's air quality monitoring capabilities by providing hourly high-resolution observations of air pollutants over North America, like its predecessor, NASA's TEMPO mission. We are developing and implementing an advanced algorithm for accurate NO₂ retrieval from GeoXO ACX. Applying this algorithm to GEMS and TEMPO, we demonstrate in this presentation the success of rapid production of high-quality NO₂ data soon after the mission starts to collect Earthview measurements. We describe the technique for instrument characterization and identification of instrument artifacts for improving retrieval precisions, and the soft calibration approach for removing systematic biases in NO₂ retrieval. Using TROPOMI as a transfer standard, we show consistent NO₂ slant columns are retrieved from GEMS and TEMPO using the GeoXO ACX NO₂ algorithm.