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| Titel |
Technical Note: Functional sliced inverse regression to infer temperature, water vapour and ozone from IASI data |
| VerfasserIn |
U. Amato, A. Antoniadis, I. Feis, G. Masiello, M. Matricardi, C. Serio |
| 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 ; 9, no. 14 ; Nr. 9, no. 14 (2009-07-29), S.5321-5330 |
| Datensatznummer |
250007544
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| Publikation (Nr.) |
 copernicus.org/acp-9-5321-2009.pdf |
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| Zusammenfassung |
| A retrieval algorithm that uses a statistical strategy based on
dimension reduction is proposed. The methodology and details of the
implementation of the new algorithm are presented and discussed. The
algorithm has been applied to high resolution spectra measured by the
Infrared Atmospheric Sounding Interferometer instrument to retrieve
atmospheric profiles of temperature, water vapour and ozone. The
performance of the inversion strategy has been assessed by comparing
the retrieved profiles to the ones obtained by co-locating in space
and time profiles from the European Centre for Medium-Range Weather
Forecasts analysis. |
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