Articles | Volume 16, issue 17
https://doi.org/10.5194/acp-16-11379-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-11379-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Validation and update of OMI Total Column Water Vapor product
Smithsonian Astrophysical Observatory, Cambridge, Massachusetts,
02421, USA
Gonzalo Gonzalez Abad
Smithsonian Astrophysical Observatory, Cambridge, Massachusetts,
02421, USA
Xiong Liu
Smithsonian Astrophysical Observatory, Cambridge, Massachusetts,
02421, USA
Kelly Chance
Smithsonian Astrophysical Observatory, Cambridge, Massachusetts,
02421, USA
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- Five decades observing Earth’s atmospheric trace gases using ultraviolet and visible backscatter solar radiation from space G. Gonzalez Abad et al. 10.1016/j.jqsrt.2019.04.030
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- Spatio-temporal analysis of precipitable water vapour over northwest china utilizing MERSI/FY-3A products S. Gong et al. 10.1080/01431161.2018.1437298
- Review on the Role of GNSS Meteorology in Monitoring Water Vapor for Atmospheric Physics J. Vaquero-Martínez & M. Antón 10.3390/rs13122287
- Global validation of columnar water vapor derived from EOS MODIS-MAIAC algorithm against the ground-based AERONET observations V. Martins et al. 10.1016/j.atmosres.2019.04.005
- Ozone Monitoring Instrument (OMI) Total Column Water Vapor version 4 validation and applications H. Wang et al. 10.5194/amt-12-5183-2019
- An improved OMI ozone profile research product version 2.0 with collection 4 L1b data and algorithm updates J. Bak et al. 10.5194/amt-17-1891-2024
- TROPOspheric Monitoring Instrument observations of total column water vapour: Algorithm and validation K. Chan et al. 10.1016/j.scitotenv.2022.153232
1 citations as recorded by crossref.
Latest update: 14 Dec 2024
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...
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