Articles | Volume 15, issue 22
https://doi.org/10.5194/amt-15-6865-2022
https://doi.org/10.5194/amt-15-6865-2022
Research article
 | 
24 Nov 2022
Research article |  | 24 Nov 2022

The new MISR research aerosol retrieval algorithm: a multi-angle, multi-spectral, bounded-variable least squares retrieval of aerosol particle properties over both land and water

James A. Limbacher, Ralph A. Kahn, and Jaehwa Lee

Related authors

Canadian and Alaskan wildfire smoke particle properties, their evolution, and controlling factors, from satellite observations
Katherine T. Junghenn Noyes, Ralph A. Kahn, James A. Limbacher, and Zhanqing Li
Atmos. Chem. Phys., 22, 10267–10290, https://doi.org/10.5194/acp-22-10267-2022,https://doi.org/10.5194/acp-22-10267-2022, 2022
Short summary
Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications
Priyanka deSouza, Ralph A. Kahn, James A. Limbacher, Eloise A. Marais, Fábio Duarte, and Carlo Ratti
Atmos. Meas. Tech., 13, 5319–5334, https://doi.org/10.5194/amt-13-5319-2020,https://doi.org/10.5194/amt-13-5319-2020, 2020
Short summary
Introducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol product
Michael J. Garay, Marcin L. Witek, Ralph A. Kahn, Felix C. Seidel, James A. Limbacher, Michael A. Bull, David J. Diner, Earl G. Hansen, Olga V. Kalashnikova, Huikyo Lee, Abigail M. Nastan, and Yan Yu
Atmos. Meas. Tech., 13, 593–628, https://doi.org/10.5194/amt-13-593-2020,https://doi.org/10.5194/amt-13-593-2020, 2020
Short summary
Updated MISR over-water research aerosol retrieval algorithm – Part 2: A multi-angle aerosol retrieval algorithm for shallow, turbid, oligotrophic, and eutrophic waters
James A. Limbacher and Ralph A. Kahn
Atmos. Meas. Tech., 12, 675–689, https://doi.org/10.5194/amt-12-675-2019,https://doi.org/10.5194/amt-12-675-2019, 2019
Short summary
Constraining chemical transport PM2.5 modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley
Mariel D. Friberg, Ralph A. Kahn, James A. Limbacher, K. Wyat Appel, and James A. Mulholland
Atmos. Chem. Phys., 18, 12891–12913, https://doi.org/10.5194/acp-18-12891-2018,https://doi.org/10.5194/acp-18-12891-2018, 2018
Short summary

Related subject area

Subject: Aerosols | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties
Athena Augusta Floutsi, Holger Baars, and Ulla Wandinger
Atmos. Meas. Tech., 17, 693–714, https://doi.org/10.5194/amt-17-693-2024,https://doi.org/10.5194/amt-17-693-2024, 2024
Short summary
MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm
James A. Limbacher, Ralph A. Kahn, Mariel D. Friberg, Jaehwa Lee, Tyler Summers, and Hai Zhang
Atmos. Meas. Tech., 17, 471–498, https://doi.org/10.5194/amt-17-471-2024,https://doi.org/10.5194/amt-17-471-2024, 2024
Short summary
Multi-section reference value for the analysis of horizontally scanning aerosol lidar observations
Juseon Shin, Gahyeong Kim, Dukhyeon Kim, Matthias Tesche, Gahyeon Park, and Youngmin Noh
Atmos. Meas. Tech., 17, 397–406, https://doi.org/10.5194/amt-17-397-2024,https://doi.org/10.5194/amt-17-397-2024, 2024
Short summary
Retrieval of aerosol optical depth over the Arctic cryosphere during spring and summer using satellite observations
Basudev Swain, Marco Vountas, Adrien Deroubaix, Luca Lelli, Yanick Ziegler, Soheila Jafariserajehlou, Sachin S. Gunthe, Andreas Herber, Christoph Ritter, Hartmut Bösch, and John P. Burrows
Atmos. Meas. Tech., 17, 359–375, https://doi.org/10.5194/amt-17-359-2024,https://doi.org/10.5194/amt-17-359-2024, 2024
Short summary
Quantifying particulate matter optical properties and flow rate in industrial stack plumes from the PRISMA hyperspectral imager
Gabriel Calassou, Pierre-Yves Foucher, and Jean-François Léon
Atmos. Meas. Tech., 17, 57–71, https://doi.org/10.5194/amt-17-57-2024,https://doi.org/10.5194/amt-17-57-2024, 2024
Short summary

Cited articles

Abdou, W. A., Martonchik, J. V., Kahn, R. A., West, R. A., and Diner, D. J.: A modified linear-mixing method for calculating atmospheric path radiances of aerosol mixtures, J. Geophys. Res., 102, 16883– 16888, https://doi.org/10.1029/96JD03434, 1997. 
Burkardt, J.: BVLS source, https://people.math.sc.edu/Burkardt/f_src/bvls/bvls.html (last access: 15 November 2022), 2014.  
Chen, W.-T., Kahn, R. A., Nelson, D., Yau, K., and Seinfeld, J.: Sensitivity of multi-angle imaging to optical and microphysical properties of biomass burning aerosols, J. Geophys. Res., 113, D10203, https://doi.org/10.1029/2007JD009414, 2008. 
Diner, D. J. and Martonchik, J. V.: Atmospheric Transfer of Radiation Above an Inhomogeneous Non-Lambertian Reflective Ground. I: Theory, J. Quant. Spectrosc. Ra., 31, 97–125, 1984a. 
Diner, D. J. and Martonchik, J. V.: Atmospheric Transfer of Radiation Above an Inhomogeneous Non-Lambertian Reflective Ground. II: Computational Considerations and Results, J. Quant. Spectrosc. Ra., 32, 279–304, 1984b. 
Download
Short summary
Launched in December 1999, NASA’s Multi-angle Imaging SpectroRadiometer (MISR) has given researchers qualitative constraints on aerosol particle properties for the past 22 years. Here, we present a new MISR research aerosol retrieval algorithm (RA) that utilizes over-land surface reflectance data from the Multi-Angle Implementation of Atmospheric Correction (MAIAC) to address limitations of the MISR operational aerosol retrieval algorithm and improve retrievals of aerosol particle properties.