Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.414 IF 5.414
  • IF 5-year value: 5.958 IF 5-year
    5.958
  • CiteScore value: 9.7 CiteScore
    9.7
  • SNIP value: 1.517 SNIP 1.517
  • IPP value: 5.61 IPP 5.61
  • SJR value: 2.601 SJR 2.601
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 191 Scimago H
    index 191
  • h5-index value: 89 h5-index 89
Volume 16, issue 17
Atmos. Chem. Phys., 16, 11379–11393, 2016
https://doi.org/10.5194/acp-16-11379-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Ten years of Ozone Monitoring Instrument (OMI) observations...

Atmos. Chem. Phys., 16, 11379–11393, 2016
https://doi.org/10.5194/acp-16-11379-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 14 Sep 2016

Research article | 14 Sep 2016

Validation and update of OMI Total Column Water Vapor product

Huiqun Wang et al.

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 Huiqun Wang on behalf of the Authors (06 Jul 2016)  Author's response
ED: Referee Nomination & Report Request started (20 Jul 2016) by Viktoria Sofieva
RR by Anonymous Referee #1 (14 Aug 2016)
ED: Publish subject to technical corrections (24 Aug 2016) by Viktoria Sofieva
Publications Copernicus
Download
Short summary
Water vapor is highly important. The OMI total column water vapor product retrieved using SAO's version 1.0 algorithm agrees well with other reference products over the land but has a low bias over the ocean. The updated OMI water vapor product retrieved using SAO's version 2.1 algorithm largely eliminates the low bias over the ocean, improving the land/ocean consistency and the overall data quality. This dataset can benefit a variety of scientific studies and practical applications.
Water vapor is highly important. The OMI total column water vapor product retrieved using SAO's...
Citation