http://www.cnr.it/ontology/cnr/individuo/prodotto/ID175352
Technical note: Functional sliced inverse regression to infer temperature, water vapour and ozone from IASI data (Articolo in rivista)
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- Technical note: Functional sliced inverse regression to infer temperature, water vapour and ozone from IASI data (Articolo in rivista) (literal)
- Anno
- 2009-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.5194/acp-9-5321-2009 (literal)
- Alternative label
Amato U.; Antoniadis A.; De Feis I.; Masiello G.; Matricardi M.; Serio C. (2009)
Technical note: Functional sliced inverse regression to infer temperature, water vapour and ozone from IASI data
in Atmospheric chemistry and physics (Online); Copernicus Publications, Göttingen (Germania)
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- Amato U.; Antoniadis A.; De Feis I.; Masiello G.; Matricardi M.; Serio C. (literal)
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- Istituto per le Applicazioni del Calcolo \"Mauro Picone\" CNR, Napoli, Italy
Laboratoire Jean Kuntzmann, Universit´e Joseph Fourier, Grenoble, France
Dipartimento di Ingegneria e Fisica dell'Ambiente, Universit`a della Basilicata, Potenza, Italy
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK (literal)
- Titolo
- Technical note: Functional sliced inverse regression to infer temperature, water vapour and ozone from IASI data (literal)
- Abstract
- A retrieval algorithm that uses a statistical strategy based on dimension reduction is proposed. The ethodology 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 colocating in space and time profiles from the European Centre for Medium-Range Weather Forecasts analysis. (literal)
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