Articles | Volume 15, issue 22
https://doi.org/10.5194/amt-15-6865-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-6865-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
CORRESPONDING AUTHOR
Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Science Systems and Applications Inc., Lanham, MD 20706, USA
Department of Meteorology and Atmospheric Science, The Pennsylvania State University, State College, PA 16802, USA
Ralph A. Kahn
Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Jaehwa Lee
Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20742, USA
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- A multilevel downscaling model for enhancing nocturnal aerosol optical depth reanalysis from CAMS over the Beijing-Tianjin-Hebei region, China S. Wang et al. https://doi.org/10.1016/j.eti.2025.104238
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Saved (final revised paper)
Latest update: 09 Jun 2026
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.
Launched in December 1999, NASA’s Multi-angle Imaging SpectroRadiometer (MISR) has given...