Articles | Volume 12, issue 9
https://doi.org/10.5194/amt-12-5071-2019
https://doi.org/10.5194/amt-12-5071-2019
Research article
 | 
23 Sep 2019
Research article |  | 23 Sep 2019

Toward autonomous surface-based infrared remote sensing of polar clouds: retrievals of cloud optical and microphysical properties

Penny M. Rowe, Christopher J. Cox, Steven Neshyba, and Von P. Walden

Viewed

Total article views: 2,369 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,203 1,111 55 2,369 283 62 58
  • HTML: 1,203
  • PDF: 1,111
  • XML: 55
  • Total: 2,369
  • Supplement: 283
  • BibTeX: 62
  • EndNote: 58
Views and downloads (calculated since 12 Jun 2019)
Cumulative views and downloads (calculated since 12 Jun 2019)

Viewed (geographical distribution)

Total article views: 2,369 (including HTML, PDF, and XML) Thereof 2,111 with geography defined and 258 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2024
Download
Short summary
A better understanding of polar clouds is needed for predicting climate change, including cloud thickness and the sizes and amounts of liquid droplets and ice crystals. These properties can be estimated from an instrument (an infrared spectrometer) that sits on the surface and measures how much infrared radiation is emitted by the cloud. In this work we use model data to investigate how well such an instrument could retrieve cloud properties for different instrument and error characteristics.