Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 13, issue 12
Articles | Volume 13, issue 12
https://doi.org/10.5194/amt-13-7047-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-7047-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 12
Research article
 | 
22 Dec 2020
Research article |  | 22 Dec 2020

Global cloud property models for real-time triage on board visible–shortwave infrared spectrometers

Macey W. Sandford, David R. Thompson, Robert O. Green, Brian H. Kahn, Raffaele Vitulli, Steve Chien, Amruta Yelamanchili, and Winston Olson-Duvall

Viewed

Total article views: 1,983 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,299 605 79 1,983 100 88
  • HTML: 1,299
  • PDF: 605
  • XML: 79
  • Total: 1,983
  • BibTeX: 100
  • EndNote: 88
Views and downloads (calculated since 06 May 2020)
Cumulative views and downloads (calculated since 06 May 2020)

Viewed (geographical distribution)

Total article views: 1,983 (including HTML, PDF, and XML) Thereof 1,866 with geography defined and 117 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Jun 2025
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
We demonstrate an onboard cloud-screening approach to significantly reduce the amount of cloud-contaminated data transmitted from orbit. We have produced location-specific models that improve performance by taking into account the unique cloud statistics in different latitudes. We have shown that screening clouds based on their location or surface type will improve the ability for a cloud-screening tool to improve the volume of usable science data.
Read more
Share