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Titel |
Chemistry-transport modeling of the satellite observed distribution of tropical troposheric ozone |
VerfasserIn |
W. Peters, M. Krol, F. Dentener, A. M. Thompson, J. Lelieveld |
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 ; 2, no. 2 ; Nr. 2, no. 2 (2002-05-30), S.103-120 |
Datensatznummer |
250000481
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Publikation (Nr.) |
copernicus.org/acp-2-103-2002.pdf |
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Zusammenfassung |
We have compared the 14-year record of satellite derived tropical
tropospheric ozone columns (TTOC) from the NIMBUS--7 Total Ozone Mapping Spectrometer (TOMS) to TTOC calculated by
achemistry-transport model (CTM). An objective measure of error, based on the zonal distribution of TTOC in the
tropics, is applied to perform this comparison systematically. In addition,
the sensitivity of the model to several key processes in the tropics is quantified to select directions for future improvements. The comparisons
indicate a widespread, systematic (20%) discrepancy over the tropical Atlantic Ocean, which maximizes during austral Spring. Although independent
evidence from ozonesondes shows that some of the disagreement is due to satellite overestimate of TTOC, the Atlantic mismatch is largely due to a
misrepresentation of seasonally recurring processes in the model. Only minor
differences between the model and observations over the Pacific occur, mostly
due to interannual variability not captured by the model. Although chemical
processes determine the TTOC extent, dynamical processes dominate the TTOC
distribution, as the use of actual meteorology pertaining to the year of observations always leads to a better agreement with TTOC observations than
using a random year or a climatology. The modeled TTOC is remarkably insensitive to many model parameters due to efficient feedbacks in the ozone
budget. Nevertheless, the simulations would profit from an improved biomass
burning calendar, as well as from an increase in NOx abundances in
free tropospheric biomass burning plumes. The model showed the largest response to lightning
NOx emissions, but systematic improvements could not be found. The use of multi-year satellite derived tropospheric data
to systematically test and improve a CTM is a promising new addition to existing methods of model validation, and is a first step to integrating
tropospheric satellite observations into global ozone modeling studies. Conversely, the CTM may suggest improvements to evolving satellite retrievals
for tropospheric ozone. |
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