Articles | Volume 15, issue 22
Atmos. Meas. Tech., 15, 6865–6887, 2022
https://doi.org/10.5194/amt-15-6865-2022
Atmos. Meas. Tech., 15, 6865–6887, 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 et al.

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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. 
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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.