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| Titel |
Tropospheric ozone column retrieval at northern mid-latitudes from the Ozone Monitoring Instrument by means of a neural network algorithm |
| VerfasserIn |
P. Sellitto, B. R. Bojkov, X. Liu, K. Chance, F. Frate |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 4, no. 11 ; Nr. 4, no. 11 (2011-11-03), S.2375-2388 |
| Datensatznummer |
250002130
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| Publikation (Nr.) |
 copernicus.org/amt-4-2375-2011.pdf |
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| Zusammenfassung |
| Monitoring tropospheric ozone from space is of critical importance
in order to gain more thorough knowledge on phenomena affecting air
quality and the greenhouse effect. Deriving information on
tropospheric ozone from UV/VIS nadir satellite spectrometers is
difficult owing to the weak sensitivity of the measured radiance
spectra to variations of ozone in the troposphere. Here we
propose an alternative method of analysis to retrieve tropospheric
ozone columns from Ozone Monitoring Instrument radiances by means of
a neural network algorithm. An extended set of ozone sonde
measurements at northern mid-latitudes for the years 2004–2008 has been considered as the
training and test data set. The design of the algorithm is
extensively discussed. Our retrievals are compared to both
tropospheric ozone residuals and optimal estimation retrievals over
a similar independent test data set. Results show that our algorithm
has comparable accuracy with respect to both correlative methods and
its performance is slightly better over a subset containing only
European ozone sonde stations. Possible sources of errors are
analyzed. Finally, the capabilities of our algorithm to derive
information on boundary layer ozone are studied and the results
critically discussed. |
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