Articles | Volume 12, issue 7
https://doi.org/10.5194/amt-12-3521-2019
https://doi.org/10.5194/amt-12-3521-2019
Research article
 | 
02 Jul 2019
Research article |  | 02 Jul 2019

Cloud identification and classification from high spectral resolution data in the far infrared and mid-infrared

Tiziano Maestri, William Cossich, and Iacopo Sbrolli

Viewed

Total article views: 3,127 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,073 984 70 3,127 105 118
  • HTML: 2,073
  • PDF: 984
  • XML: 70
  • Total: 3,127
  • BibTeX: 105
  • EndNote: 118
Views and downloads (calculated since 12 Feb 2019)
Cumulative views and downloads (calculated since 12 Feb 2019)

Viewed (geographical distribution)

Total article views: 3,127 (including HTML, PDF, and XML) Thereof 3,014 with geography defined and 113 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 05 Nov 2025
Download
Short summary
An innovative and flexible methodology for cloud identification and classification, CIC, is tested on a synthetic dataset of high spectral resolution radiances in the far- and mid-infrared part of the spectrum, simulating measurements from the FORUM (Far Infrared Outgoing Radiation Understanding and Monitoring) mission. Results show that classification scores are greatly increased when far-infrared channels are accounted for and the identification of thin cirrus clouds is improved.
Share