Academic Journal
MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm
| العنوان: | MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm |
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| المؤلفون: | Limbacher, James A., Kahn, Ralph A., Friberg, Mariel D., Lee, Jaehwa, Summers, Tyler, Zhang, Hai |
| بيانات النشر: | Copernicus Publications |
| سنة النشر: | 2024 |
| المجموعة: | Niedersächsisches Online-Archiv NOA (Gottfried Wilhelm Leibniz Bibliothek Hannover) |
| مصطلحات موضوعية: | article, Verlagsveröffentlichung |
| الوصف: | For over 40 years, the Geostationary Operational Environmental Satellite (GOES) system has provided frequent snapshots of the Western Hemisphere. The advanced baseline imagers (ABIs) on the GOES-16, GOES-17, and GOES-18 platforms are the first GOES-series imagers that meet the precision requirements for high-quality, aerosol-related research. We present MAGARA, a Multi-Angle Geostationary Aerosol Retrieval Algorithm, that leverages multi-angle ABI imagery to exploit the differences in autocorrelation timescales between surface reflectance, aerosol type, and aerosol loading. MAGARA retrieves pixel-level (up to 1 km) aerosol loading and fine-mode fraction at up to the cadence of the measurements (10 min), fine- and coarse-mode aerosol particle properties at a daily cadence, and surface properties by combining the multi-angle radiances with robust surface characterization inherent to temporally tiled algorithms. We present three case studies, and because GOES-17 was not making observations for one case, we present this as a unique demonstration of the multi-angle algorithm using only a single ABI sensor. We also compare MAGARA retrievals of fine-mode (FM) aerosol optical depth (AOD), coarse-mode (CM) AOD, and single-scattering albedo (SSA) statistically, with coincident AErosol RObotic NETwork (AERONET) spectral deconvolution algorithm (SDA) and inversion retrievals for the same period, and against bias-corrected NOAA GOES-16 and GOES-17 retrieved 550 nm AOD. For MAGARA vs. coincident AERONET over-land 500 nm fine-mode fraction and AOD>0.3, MAE=0.031, RMSE=0.100, and r=0.902, indicating good sensitivity to fine-mode fraction over land, especially for smoky regions. For bias-corrected MAGARA vs. coincident AERONET spectral single-scattering albedo with MAGARA AOD>0.5 (n=116), MAE=0.010, RMSE=0.015, and the correlation is 0.87. MAGARA performs best in regions where surface reflectance varies over long timescales with minimal clouds. This represents a large portion of the western half of the United States, much ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | electronic |
| اللغة: | English |
| Relation: | Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548; https://doi.org/10.5194/amt-17-471-2024; https://noa.gwlb.de/receive/cop_mods_00071232; https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00069530/amt-17-471-2024.pdf; https://amt.copernicus.org/articles/17/471/2024/amt-17-471-2024.pdf |
| DOI: | 10.5194/amt-17-471-2024 |
| الاتاحة: | https://doi.org/10.5194/amt-17-471-2024 https://noa.gwlb.de/receive/cop_mods_00071232 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00069530/amt-17-471-2024.pdf https://amt.copernicus.org/articles/17/471/2024/amt-17-471-2024.pdf |
| Rights: | https://creativecommons.org/licenses/by/4.0/ ; uneingeschränkt ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.E3AA655D |
| قاعدة البيانات: | BASE |
| DOI: | 10.5194/amt-17-471-2024 |
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