Articles | Volume 12, issue 9
Atmos. Meas. Tech., 12, 4745–4778, 2019
https://doi.org/10.5194/amt-12-4745-2019
Atmos. Meas. Tech., 12, 4745–4778, 2019
https://doi.org/10.5194/amt-12-4745-2019

Research article 06 Sep 2019

Research article | 06 Sep 2019

Ozone profile climatology for remote sensing retrieval algorithms

Kai Yang and Xiong Liu

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Kai Yang on behalf of the Authors (12 Jul 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (08 Aug 2019) by Mark Weber
AR by Kai Yang on behalf of the Authors (09 Aug 2019)  Author's response    Manuscript
Download
Short summary
We constructed total-ozone-dependent and tropopause-dependent climatologies from MERRA-2 ozone data to describe the dynamic variations in the ozone profile in response to changing meteorological conditions. The new climatologies contain the first quantitative characterization of ozone profile covariances, which facilitate a new approach to improve ozone profiles using the most probable patterns of profile adjustments represented by the empirical orthogonal functions of the covariance matrices.