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

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

doi:https://doi.org/10.5194/amt-9-1981-2016

Articles | Volume 9, issue 5

https://doi.org/10.5194/amt-9-1981-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-9-1981-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 5

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

Download

Final revised paper (published on 03 May 2016)
Preprint (discussion started on 14 Jan 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'Review comments for "A development of cloud top height retrieval using thermal infrared spectra observed with GOSAT and comparison with CALIPSO data"', Anonymous Referee #1, 29 Jan 2016
- AC1: 'Response to review comments from Anonymous Referee #1', Yu Someya, 16 Feb 2016
RC3: 'Review comments of “A development of cloud top height retrieval using thermal infrared spectra observed with GOSAT and comparison with CALIPSO data” by Someya et al.', Anonymous Referee #2, 16 Mar 2016
- AC2: 'Response to review comments from Anonynous Referee #2', Yu Someya, 18 Apr 2016

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.