Articles | Volume 15, issue 14
https://doi.org/10.5194/acp-15-8315-2015
© Author(s) 2015. 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-15-8315-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
27 Jul 2015
Research article |
| 27 Jul 2015
A tropospheric chemistry reanalysis for the years 2005–2012 based on an assimilation of OMI, MLS, TES, and MOPITT satellite data
Japan Agency for Marine-Earth Science and Technology, Yokohama 236-0001, Japan
H. J. Eskes
Royal Netherlands Meteorological Institute (KNMI), Wilhelminalaan 10, 3732 GK, De Bilt, the Netherlands
Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan
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- Deep Learning to Evaluate US NOx Emissions Using Surface Ozone Predictions T. He et al. 10.1029/2021JD035597
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- Attribution of Chemistry-Climate Model Initiative (CCMI) ozone radiative flux bias from satellites L. Kuai et al. 10.5194/acp-20-281-2020
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Latest update: 25 Apr 2024
Short summary
This paper reports on an 8-year reanalysis of tropospheric chemistry based on an assimilation of multiple satellite-derived data sets. The reanalysis performed well on regional and global scales and for seasonal and interannual variations. The simultaneous assimilation of multiple-species data, involving the optimisation of both concentration and emission fields, provides unique information on year-to-year variations in the atmospheric environment.
This paper reports on an 8-year reanalysis of tropospheric chemistry based on an assimilation of...
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