Articles | Volume 17, issue 2
https://doi.org/10.5194/amt-17-471-2024
https://doi.org/10.5194/amt-17-471-2024
Research article
 | 
24 Jan 2024
Research article |  | 24 Jan 2024

MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm

James A. Limbacher, Ralph A. Kahn, Mariel D. Friberg, Jaehwa Lee, Tyler Summers, and Hai Zhang

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Cited articles

ABI AOD ATBD: GOES-R Advanced Baseline Imager (ABI) algorithm theoretical basis document for suspended matter/aerosol optical depth and aerosol size parameter, NOAA/NESDIS/STAR, Version 4.2, https://www.star.nesdis.noaa.gov/smcd/spb/aq/AerosolWatch/docs/GOES-R_ABI_AOD_ATBD_V4.2_20180214.pdf (last access: 5 March 2021), 2018. 
Baldassari, E.: Camp Fire death toll grows to 29, matching 1933 blaze as state's deadliest, East Bay Times, 11, https://www.presstelegram.com/2018/11/12/camp-fire-death- toll-grows-to-29-matching-1933-griffith-park-blaze-for-deadliest-in-california/ (last access: 9 January 2024), 12 November 2018. 
Bian, Q., Kreidenweis, S., Chiu, J. C., Miller, S. D., Xu, X., Wang, J., Kahn, R. A., Limbacher, J. A., Remer, L. A., and Levy, R. C.: Constraining Aerosol Phase Function Using Dual-View Geostationary Satellites, J. Geophys. Res.-Atmos., 126, e2021JD035209, https://doi.org/10.1029/2021JD035209, 2021. 
Cal Fire: Kincade Fire Incident, https://www.fire.ca.gov/incidents/2019/10/23/kincade-fire (last access: 4 September 2022), 2020. 
Ceamanos, X., Six, B., Moparthy, S., Carrer, D., Georgeot, A., Gasteiger, J., Riedi, J., Attié, J.-L., Lyapustin, A., and Katsev, I.: Instantaneous aerosol and surface retrieval using satellites in geostationary orbit (iAERUS-GEO) – estimation of 15 min aerosol optical depth from MSG/SEVIRI and evaluation with reference data, Atmos. Meas. Tech., 16, 2575–2599, https://doi.org/10.5194/amt-16-2575-2023, 2023. 
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Short summary
We present the new Multi-Angle Geostationary Aerosol Retrieval Algorithm (MAGARA) that fuses observations from GOES-16 and GOES-17 to retrieve information about aerosol loading (at 10–15 min cadence) and aerosol particle properties (daily), all at pixel-level resolution. We present MAGARA results for three case studies: the 2018 California Camp Fire, the 2019 Williams Flats Fire, and the 2019 Kincade Fire. We also compare MAGARA aerosol loading and particle properties with AERONET.
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