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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Latest update: 11 Oct 2024
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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.