Articles | Volume 9, issue 5
https://doi.org/10.5194/amt-9-1981-2016
https://doi.org/10.5194/amt-9-1981-2016
Research article
 | 
03 May 2016
Research article |  | 03 May 2016

A development of cloud top height retrieval using thermal infrared spectra observed with GOSAT and comparison with CALIPSO data

Yu Someya, Ryoichi Imasu, Naoko Saitoh, Yoshifumi Ota, and Kei Shiomi

Viewed

Total article views: 2,629 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,598 960 71 2,629 86 98
  • HTML: 1,598
  • PDF: 960
  • XML: 71
  • Total: 2,629
  • BibTeX: 86
  • EndNote: 98
Views and downloads (calculated since 14 Jan 2016)
Cumulative views and downloads (calculated since 14 Jan 2016)

Cited

Saved (final revised paper)

Latest update: 17 May 2024
Download
Short summary
This article presents an algorithm for cloud detection using TIR radiance spectra based on the CO2 slicing technique for improvement of GHG observation from space. The key techniques of the algorithm are channel reconstruction and their optimization for increasing sensitivity and accuracy. The analysis results using GOSAT data show general agreement with those from CALIPSO. It can be expected that this algorithm would improve the accuracy of cloud screening and gas retrievals from GOSAT data.