Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments
A three-dimensional global ozone distribution has been derived from assimilation of ozone profiles that were observed by satellites. By simultaneous assimilation of ozone profiles retrieved from the nadir looking satellite instruments Global Ozone Monitoring Experiment 2 (GOME-2) and Ozone Monit...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2018-02-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://www.atmos-chem-phys.net/18/1685/2018/acp-18-1685-2018.pdf |
| _version_ | 1828760841420275712 |
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| author | J. C. A. van Peet R. J. van der A R. J. van der A H. M. Kelder P. F. Levelt P. F. Levelt |
| author_facet | J. C. A. van Peet R. J. van der A R. J. van der A H. M. Kelder P. F. Levelt P. F. Levelt |
| author_sort | J. C. A. van Peet |
| collection | DOAJ |
| description | A three-dimensional global ozone distribution has been derived from
assimilation of ozone profiles that were observed by satellites. By
simultaneous assimilation of ozone profiles retrieved from the nadir
looking satellite instruments Global Ozone Monitoring Experiment 2
(GOME-2) and Ozone Monitoring Instrument (OMI), which measure the
atmosphere at different times of the day, the quality of the derived
atmospheric ozone field has been improved. The assimilation is using
an extended Kalman filter in which chemical transport model TM5 has
been used for the forecast. The combined assimilation of both GOME-2
and OMI improves upon the assimilation results of a single
sensor. The new assimilation system has been demonstrated by
processing 4 years of data from 2008 to 2011. Validation of the
assimilation output by comparison with sondes shows that biases vary
between −5 and +10 % between the surface and
100 hPa. The biases for the combined assimilation vary
between −3 and +3 % in the region between 100 and
10 hPa where GOME-2 and OMI are most sensitive. This is
a strong improvement compared to direct retrievals of ozone profiles
from satellite observations. |
| first_indexed | 2024-12-11T01:19:25Z |
| format | Article |
| id | doaj.art-5007628d5f9948eeb4187036082b3f3a |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-11T01:19:25Z |
| publishDate | 2018-02-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-5007628d5f9948eeb4187036082b3f3a2022-12-22T01:25:44ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242018-02-01181685170410.5194/acp-18-1685-2018Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instrumentsJ. C. A. van Peet0R. J. van der A1R. J. van der A2H. M. Kelder3P. F. Levelt4P. F. Levelt5Royal Netherlands Meteorological Institute (KNMI), De Bilt, the NetherlandsRoyal Netherlands Meteorological Institute (KNMI), De Bilt, the NetherlandsNanjing University of Information Science and Technology (NUIST), Nanjing, ChinaEindhoven University of Technology, Eindhoven, the NetherlandsRoyal Netherlands Meteorological Institute (KNMI), De Bilt, the NetherlandsDelft University of Technology, Delft, the NetherlandsA three-dimensional global ozone distribution has been derived from assimilation of ozone profiles that were observed by satellites. By simultaneous assimilation of ozone profiles retrieved from the nadir looking satellite instruments Global Ozone Monitoring Experiment 2 (GOME-2) and Ozone Monitoring Instrument (OMI), which measure the atmosphere at different times of the day, the quality of the derived atmospheric ozone field has been improved. The assimilation is using an extended Kalman filter in which chemical transport model TM5 has been used for the forecast. The combined assimilation of both GOME-2 and OMI improves upon the assimilation results of a single sensor. The new assimilation system has been demonstrated by processing 4 years of data from 2008 to 2011. Validation of the assimilation output by comparison with sondes shows that biases vary between −5 and +10 % between the surface and 100 hPa. The biases for the combined assimilation vary between −3 and +3 % in the region between 100 and 10 hPa where GOME-2 and OMI are most sensitive. This is a strong improvement compared to direct retrievals of ozone profiles from satellite observations.https://www.atmos-chem-phys.net/18/1685/2018/acp-18-1685-2018.pdf |
| spellingShingle | J. C. A. van Peet R. J. van der A R. J. van der A H. M. Kelder P. F. Levelt P. F. Levelt Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments Atmospheric Chemistry and Physics |
| title | Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments |
| title_full | Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments |
| title_fullStr | Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments |
| title_full_unstemmed | Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments |
| title_short | Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments |
| title_sort | simultaneous assimilation of ozone profiles from multiple uv vis satellite instruments |
| url | https://www.atmos-chem-phys.net/18/1685/2018/acp-18-1685-2018.pdf |
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