Prototype Geostationary Satellite and Fusion Viewer

10-Fold Cross Validation Result

Data Calendar

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Research Draft: HAQAST Geostationary Satellite AirNow Team

2023 Tiger Team Project Description (copied from HAQAST)

• Title: Enabling USEPA to ingest high-frequency satellite air quality data into the AirNow system
• Team Lead: HAQAST Investigator Yang Liu
• Partners: Phil Dickerson and Barron Henderson (USEPA), Kazuhiko Ito (New York City Department of Health and Mental Hygiene)
• HAQAST Members and Collaborators: Pawan Gupta (NASA), Jingqiu Mao (University of Alaska), Randall Martin (Washington University)

Satellite-driven fine particulate matter (PM2.5) concentration estimates with comprehensive spatial and temporal coverage are valuable to air quality (AQ) management and public health agencies in order to identify air pollution hot spots, develop effective emissions control policies, estimate the PM2.5 disease burden, and promote awareness and solutions to community-level air pollution concerns. This project aims to integrate GOES-R aerosol optical depth (AOD) data into operational air quality monitoring data systems such as EPA’s AirNow, and operational public health decision support systems such as NYC’s asthma syndromic surveillance system. Our expected deliverables include (1) an automated near-real-time daily PM2.5 model system designed for NYC and associated documentation, and (2) a machine learning algorithm to generate hourly PM2.5 concentrations based on GOES-R AOD for AirNow and associated documentation.

2021 Tiger Team Project Description (copied from HAQAST)

• Title: Enabling USEPA to ingest high-frequency satellite air quality data into the AirNow system
• Team Lead: HAQAST investigator Pawan Gupta
• Partners: Phil Dickerson and Barron Henderson with the US Environmental Protection Agency (EPA), and Shobha Kondragunta with the National Oceanic and Atmospheric Administration (NOAA)
• HAQAST Members and Collaborators: Jingqiu Mao, Yang Liu, Kel Markert, Robert Levy, Randall Martin, Amber J. Soja, Martin Stuefer, Jenny Bratburd, Emily Gargulinksi, Yanshun Li, and Daniel Tong also contribute to this team.

The EPA, in partnership with other federal and state agencies, operates the AirNow program (airnow.gov). The AirNow system is EPA's one-stop resource for accessing air quality (AQ) information. The major gap in the AirNow system is limited spatial coverage from ground monitors, limited information on smoke and dust transport, and regional AQ view. NASA, NOAA, and other U.S. agencies have been building on satellite capabilities for AQ monitoring for almost two decades using low earth-orbiting satellites and, more recently, with geostationary satellites. This project initiated a new collaboration between HAQAST members, NOAA, and USEPA to develop a value added hourly and daily PM2.5 dataset covering CONUS region and integrate it into the AirNow system.

The new data layers at high temporal and spatial resolutions in the USEPA's AirNow system will address significant monitoring gaps in many areas around the country, provide special health advisory during smoke and dust events and generate a framework for ingesting data from future NASA/NOAA missions (i.e., TEMPO, MAIA, ATMOS, GEO-XO) into a regulatory agency's monitoring system. Thus, the project is an excellent opportunity for NASA and NOAA to incorporate Earth observations into environmental monitoring by federal agencies within the United States. You can read more about this team's efforts here.

References

1. NASA Health and Air Quality Applied Science Team (HAQAST, hay-cast) 2021 Tiger Team: Enabling USEPA to ingest high-frequency satellite air quality data into the AirNow system, url: https://haqast.org/tiger-teams/#2021-tiger-teams
2. Bratburd, J., Gupta, P., Kondragunta, S., Zhang, H., Henderson, B. H., Dickerson, P., Sayeed, A., Liu, Y., Mao, J., Pruthi, D., Gudipudi, K., White, J. E., and Wyatt, R.: Air Quality Data When You Need It: Incorporating Satellite Data Updates into AirNow, EM Plus, 2022.
3. O'Dell, K., Kondragunta, S., Zhang, H., Goldberg, D., Kerr, G.H., Wei, Z., Henderson, B.H., Anenberg, S.C.: O'Dell Public Health Benefits from Improved Identification of Severe Air Pollution Events with Geostationary Satellite Data, submitted to GeoHealth, 2023.
4. Zhang, H., Wei, Z., Henderson, B. H., Anenberg, S. C., O'Dell, K., Kondragunta, S.: Nowcasting Applications of Geostationary Satellite Hourly Surface PM2.5 Data. Weather and Forecasting, 37(12), 2313-2329, 2022. doi: 10.1175/WAF-D-22-0114.1
5. Zhang, H. and Kondragunta, S.: Daily and Hourly Surface PM2.5 Estimation From Satellite AOD, Earth Space Sci, 8, doi: 10.1029/2020EA001599, 2021.