Articles | Volume 12, issue 2
Atmos. Meas. Tech., 12, 1059–1076, 2019
https://doi.org/10.5194/amt-12-1059-2019

Special issue: Arctic mixed-phase clouds as studied during the ACLOUD/PASCAL...

Atmos. Meas. Tech., 12, 1059–1076, 2019
https://doi.org/10.5194/amt-12-1059-2019

Research article 18 Feb 2019

Research article | 18 Feb 2019

A cloud identification algorithm over the Arctic for use with AATSR–SLSTR measurements

Soheila Jafariserajehlou et al.

Viewed

Total article views: 1,593 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,049 514 30 1,593 45 37
  • HTML: 1,049
  • PDF: 514
  • XML: 30
  • Total: 1,593
  • BibTeX: 45
  • EndNote: 37
Views and downloads (calculated since 26 Jul 2018)
Cumulative views and downloads (calculated since 26 Jul 2018)

Viewed (geographical distribution)

Total article views: 1,399 (including HTML, PDF, and XML) Thereof 1,388 with geography defined and 11 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Feb 2021
Download
Short summary
We developed a new algorithm for cloud identification over the Arctic. This algorithm called ASCIA, utilizes time-series measurements of Advanced Along-Track Scanning Radiometer (AATSR) on Envisat and Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel-3A and -3B. The data product of ASCIA is compared with three satellite products: ASCIA shows an improved performance compared to them. We validated ASCIA by ground-based measurements and a promising agreement is achieved.