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| Titel |
Simultaneous assimilation of satellite NO2, O3, CO, and HNO3 data for the analysis of tropospheric chemical composition and emissions |
| VerfasserIn |
K. Miyazaki, H. J. Eskes, K. Sudo, M. Takigawa, M. van Weele, K. F. Boersma |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 12, no. 20 ; Nr. 12, no. 20 (2012-10-22), S.9545-9579 |
| Datensatznummer |
250011522
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| Publikation (Nr.) |
 copernicus.org/acp-12-9545-2012.pdf |
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| Zusammenfassung |
| We have developed an advanced chemical data assimilation system to combine
observations of chemical compounds from multiple satellites. NO2, O3,
CO, and HNO3 measurements from the Ozone Monitoring Instrument (OMI),
Tropospheric Emission Spectrometer (TES), Measurement of Pollution in the
Troposphere (MOPITT), and Microwave Limb Sounder (MLS) satellite instruments
are assimilated into the global chemical transport model CHASER for the years
2006–2007. The CHASER data assimilation system (CHASER-DAS), based on the
local ensemble transform Kalman filter technique, simultaneously optimizes
the chemical species, as well as the emissions of O3 precursors, while
taking their chemical feedbacks into account. With the available datasets, an
improved description of the chemical feedbacks can be obtained, especially
related to the NOx-CO-OH-O3 set of chemical reactions.
Comparisons against independent satellite, aircraft, and ozonesonde data show
that the data assimilation results in substantial improvements for various
chemical compounds. These improvements include a reduced negative
tropospheric NO2 column bias (by 40–85%), a reduced negative CO bias
in the Northern Hemisphere (by 40–90%), and a reduced positive O3 bias
in the middle and upper troposphere (from 30–40% to within 10%). These
changes are related to increased tropospheric OH concentrations by 5–15%
in the tropics and the Southern Hemisphere in July. Observing System
Experiments (OSEs) have been conducted to quantify the relative importance of
each data set on constraining the emissions and concentrations. The OSEs
confirm that the assimilation of individual data sets results in a strong
influence on both assimilated and non-assimilated species through the
inter-species error correlation and the chemical coupling described by the
model. The simultaneous adjustment of the emissions and concentrations is a
powerful approach to correcting the tropospheric ozone budget and profile
analyses. |
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