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

Viewed

Total article views: 1,654 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,126 487 41 1,654 102 31 35
  • HTML: 1,126
  • PDF: 487
  • XML: 41
  • Total: 1,654
  • Supplement: 102
  • BibTeX: 31
  • EndNote: 35
Views and downloads (calculated since 23 Mar 2022)
Cumulative views and downloads (calculated since 23 Mar 2022)

Viewed (geographical distribution)

Total article views: 1,654 (including HTML, PDF, and XML) Thereof 1,680 with geography defined and -26 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
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.