Hourly regional SO2 monitoring with geostationary instruments for atmospheric composition: Preliminary results from TEMPO and GEMS
Abstract
Hourly, high-resolution measurements from the NASA geostationary TEMPO (Tropospheric Emissions: Monitoring of Pollution) mission are expected to significantly enhance our ability to monitor both anthropogenic and volcanic SO2 sources over North America. TEMPO will produce considerably larger data volume than similar UV-Vis spectrometers (e.g., the Ozone Monitoring Instrument, OMI) currently flying on NASA low Earth orbiting satellites. In addition, SO2 pollution over the U.S. has seen substantial decreases in recent years, owing to ~90% reductions in anthropogenic emissions since 2005. The SO2 retrieval algorithm for TEMPO will need to be sensitive to relatively small signals, and at the same time fast enough to process TEMPO data in near-real-time (NRT). In this presentation, we will introduce a TEMPO SO2 retrieval algorithm that has been adapted from the operational algorithm for NASA standard OMI and Ozone Mapping and Profiler Suite (OMPS) SO2 products. In this data-driven algorithm, we apply a principal component analysis (PCA) technique to the measured radiances over SO2-free regions to characterize and minimize the impact of various interfering processes in SO2 retrievals. Preliminary tests using synthetic radiance data suggest that our algorithm will be capable of delivering high-quality TEMPO SO2 retrievals with low latency (current estimated processing time < one hour for each hourly scan). We have also successfully tested the TEMPO SO2 algorithm using the radiance data from the Korean Geostationary Environment Monitoring Spectrometer (GEMS) and will present some examples of our experimental GEMS retrievals.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2021
- Bibcode:
- 2021AGUFM.A24E..03L