Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 13, issue 7
Articles | Volume 13, issue 7
https://doi.org/10.5194/amt-13-4035-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-4035-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 7
Research article
 | 
27 Jul 2020
Research article |  | 27 Jul 2020

Improvement in cloud retrievals from VIIRS through the use of infrared absorption channels constructed from VIIRS+CrIS data fusion

Yue Li, Bryan A. Baum, Andrew K. Heidinger, W. Paul Menzel, and Elisabeth Weisz

Viewed

Total article views: 5,476 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,355 1,013 108 5,476 150 147
  • HTML: 4,355
  • PDF: 1,013
  • XML: 108
  • Total: 5,476
  • BibTeX: 150
  • EndNote: 147
Views and downloads (calculated since 30 Jan 2020)
Cumulative views and downloads (calculated since 30 Jan 2020)

Viewed (geographical distribution)

Total article views: 5,476 (including HTML, PDF, and XML) Thereof 5,052 with geography defined and 424 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 09 Jun 2026
Download
Short summary
Use of VIIRS+CrIS fusion products, which provide VIIRS with MODIS-like IR sounding channels, improves cloud mask, cloud phase, and cloud top height retrievals when compared to those using VIIRS data only. NOAA CLAVR-x cloud retrievals for both S-NPP and NOAA-20 data are evaluated through comparisons to the CALIPSO v4 and MODIS Collection 6.1 cloud products. Cloud height retrievals show significant improvement for semitransparent ice clouds, with a reduction in retrieval uncertainties.
Read more
Share