Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 13, issue 10
Articles | Volume 13, issue 10
https://doi.org/10.5194/amt-13-5259-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-5259-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 10
Research article
 | 
06 Oct 2020
Research article |  | 06 Oct 2020

Cloud-top pressure retrieval with DSCOVR EPIC oxygen A- and B-band observations

Bangsheng Yin, Qilong Min, Emily Morgan, Yuekui Yang, Alexander Marshak, and Anthony B. Davis

Viewed

Total article views: 2,000 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,296 629 75 2,000 73 73
  • HTML: 1,296
  • PDF: 629
  • XML: 75
  • Total: 2,000
  • BibTeX: 73
  • EndNote: 73
Views and downloads (calculated since 04 Feb 2020)
Cumulative views and downloads (calculated since 04 Feb 2020)

Viewed (geographical distribution)

Total article views: 2,000 (including HTML, PDF, and XML) Thereof 1,860 with geography defined and 140 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 10 May 2025
Download
Short summary
Cloud-top pressure (CTP) is an important cloud property for climate and weather studies. Based on differential oxygen absorption, both oxygen A-band and B-band pairs can be used to retrieve CTP. However, it is currently very challenging to perform a CTP retrieval accurately due to the complicated in-cloud penetration effect. To address this issue, we propose an analytic transfer inverse model for DSCOVR EPIC observations to retrieve CTP considering in-cloud photon penetration.
Read more
Share