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.
Research article
| 
24 Nov 2022
Research article |
| 24 Nov 2022
| 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
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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Cited
24 citations as recorded by crossref.
- A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia S. Jin et al.
- An updated review of satellite constraints on airborne dust: Current status and future prospects R. Kahn et al.
- Smoke absorption retrieval algorithm using critical reflectance method with geostationary satellite over North America R. Mishra et al.
- Particle Size Characteristics at the Top of Biomass Burning Plumes Based on Two Case Studies M. Nakata et al.
- A multilevel downscaling model for enhancing nocturnal aerosol optical depth reanalysis from CAMS over the Beijing-Tianjin-Hebei region, China S. Wang et al.
- Satellite Multi‐Angle Observations of Wildfire Smoke Plumes During the CalFiDE Field Campaign: Aerosol Plume Heights, Particle Property Evolution, and Aging Timescales K. Noyes & R. Kahn
- Improving Aerosol Retrieval From MISR With a Physics-Informed Deep Learning Method W. Man et al.
- Aerosol Fine-Mode-Fraction Retrieval From GEO-KOMPSAT-2A/AMI Using a Deep Neural Network and Spectral Deconvolution Algorithm M. Kim et al.
- Retrieval of aerosol single scattering albedo using joint satellite and surface visibility measurements Y. Dong et al.
- Time series retrieval of Multi-wavelength Aerosol optical depth by adapting Transformer (TMAT) using Himawari-8 AHI data L. She et al.
- Analysis of a saline dust storm from the Aralkum Desert – Part 1: Consistency between multisensor satellite aerosol products X. Xi et al.
- Substantial Underestimation of Fine-Mode Aerosol Loading from Wildfires and Its Radiative Effects in Current Satellite-Based Retrievals over the United States X. Yan et al.
- A data-driven method for aerosol FMF retrieval over land using single-view polarization satellite data Z. Shi et al.
- Biomass Burning Plume from Simultaneous Observations of Polarization and Radiance at Different Viewing Directions with SGLI S. Mukai et al.
- An improved meteorological variables-based aerosol optical depth estimation method by combining a physical mechanism model with a two-stage model F. Li et al.
- A global black carbon dataset of column concentration and microphysical information derived from MISR multi-band observations and Mie scattering simulations Z. Liu et al.
- Advanced Time series Multi-wavelength AOD Transformer (TMAT) model: joint retrieval of aerosol optical and microphysical properties using Himawari-8 AHI data L. She et al.
- Global evaluation of Fengyun-3 MERSI dark target aerosol retrievals over land L. Yang et al.
- Light-absorbing black carbon and brown carbon components of smoke aerosol from DSCOVR EPIC measurements over North America and central Africa M. Choi et al.
- MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm J. Limbacher et al.
- Satellite remote sensing of aerosol single scattering albedo: Instruments, algorithms, and challenges Y. Dong et al.
- 大气气溶胶尺度信息的卫星遥感反演：进展、挑战与展望（特邀） 晏. Yan Xing et al.
- Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al.
- Siberian wildfire smoke observations from space-based multi-angle imaging: a multi-year regional analysis of smoke particle properties, their evolution, and comparisons with North American boreal fire plumes K. Junghenn Noyes & R. Kahn
24 citations as recorded by crossref.
- A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia S. Jin et al.
- An updated review of satellite constraints on airborne dust: Current status and future prospects R. Kahn et al.
- Smoke absorption retrieval algorithm using critical reflectance method with geostationary satellite over North America R. Mishra et al.
- Particle Size Characteristics at the Top of Biomass Burning Plumes Based on Two Case Studies M. Nakata et al.
- A multilevel downscaling model for enhancing nocturnal aerosol optical depth reanalysis from CAMS over the Beijing-Tianjin-Hebei region, China S. Wang et al.
- Satellite Multi‐Angle Observations of Wildfire Smoke Plumes During the CalFiDE Field Campaign: Aerosol Plume Heights, Particle Property Evolution, and Aging Timescales K. Noyes & R. Kahn
- Improving Aerosol Retrieval From MISR With a Physics-Informed Deep Learning Method W. Man et al.
- Aerosol Fine-Mode-Fraction Retrieval From GEO-KOMPSAT-2A/AMI Using a Deep Neural Network and Spectral Deconvolution Algorithm M. Kim et al.
- Retrieval of aerosol single scattering albedo using joint satellite and surface visibility measurements Y. Dong et al.
- Time series retrieval of Multi-wavelength Aerosol optical depth by adapting Transformer (TMAT) using Himawari-8 AHI data L. She et al.
- Analysis of a saline dust storm from the Aralkum Desert – Part 1: Consistency between multisensor satellite aerosol products X. Xi et al.
- Substantial Underestimation of Fine-Mode Aerosol Loading from Wildfires and Its Radiative Effects in Current Satellite-Based Retrievals over the United States X. Yan et al.
- A data-driven method for aerosol FMF retrieval over land using single-view polarization satellite data Z. Shi et al.
- Biomass Burning Plume from Simultaneous Observations of Polarization and Radiance at Different Viewing Directions with SGLI S. Mukai et al.
- An improved meteorological variables-based aerosol optical depth estimation method by combining a physical mechanism model with a two-stage model F. Li et al.
- A global black carbon dataset of column concentration and microphysical information derived from MISR multi-band observations and Mie scattering simulations Z. Liu et al.
- Advanced Time series Multi-wavelength AOD Transformer (TMAT) model: joint retrieval of aerosol optical and microphysical properties using Himawari-8 AHI data L. She et al.
- Global evaluation of Fengyun-3 MERSI dark target aerosol retrievals over land L. Yang et al.
- Light-absorbing black carbon and brown carbon components of smoke aerosol from DSCOVR EPIC measurements over North America and central Africa M. Choi et al.
- MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm J. Limbacher et al.
- Satellite remote sensing of aerosol single scattering albedo: Instruments, algorithms, and challenges Y. Dong et al.
- 大气气溶胶尺度信息的卫星遥感反演：进展、挑战与展望（特邀） 晏. Yan Xing et al.
- Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al.
- Siberian wildfire smoke observations from space-based multi-angle imaging: a multi-year regional analysis of smoke particle properties, their evolution, and comparisons with North American boreal fire plumes K. Junghenn Noyes & R. Kahn
Saved (final revised paper)
Latest update: 06 May 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...
