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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.

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Acarreta, J. R., De Haan, J. F., and Stammes, P.: Cloud pressure retrieval using the O2-O2 absorption band at 477 nm, J. Geophys. Res., 109, D05204, https://doi.org/10.1029/2003JD003915, 2004.
Bedka, S., Knuteson, R., Revercomb, H., Tobin, D., and Turner, D.: An assessment of the absolute accuracy of the Atmospheric Infrared Sounder v5 precipitable water vapor product at tropical, midlatitude, and arctic ground-truth sites: September 2002 through August 2008, J. Geophys. Res., 115, D17310, https://doi.org/10.1029/2009JD013139, 2010.
Bojkov, B.: ESA DUE GLOBVAPOUR product validation report, Combined SSMI + MERIS, Doc GlobVapour_D19_PVR_SSMI_MERIS_V3.1, 21 August 2012.
Diedrich, H., Preusker, R., Lindstrot, R., and Fischer, J.: Retrieval of daytime total columnar water vapour from MODIS measurements over land surfaces, Atmos. Meas. Tech., 8, 823–836, https://doi.org/10.5194/amt-8-823-2015, 2015.
Grossi, M., Valks, P., Loyola, D., Aberle, B., Slijkhuis, S., Wagner, T., Beirle, S., and Lang, R.: Total column water vapour measurements from GOME-2 MetOp-A and MetOp-B, Atmos. Meas. Tech., 8, 1111–1133, https://doi.org/10.5194/amt-8-1111-2015, 2015.
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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...
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