Technical note: Functional sliced inverse regression to infer temperature, water vapour and ozone from IASI data (Articolo in rivista)

Type
Label
  • 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)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Amato U.; Antoniadis A.; De Feis I.; Masiello G.; Matricardi M.; Serio C. (literal)
Pagina inizio
  • 5321 (literal)
Pagina fine
  • 5330 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 9 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 10 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 14 (literal)
Note
  • Google S (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 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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