Journal Article10.1364/AO.45.000201
Principal component-based radiative transfer model for hyperspectral sensors : theoretical concept
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TL;DR: The principal component-based radiative transfer model (PCRTM) predicts the principal component (PC) scores of these quantities and has great potential for superfast one-dimensional physical retrieval and for numerical weather prediction large volume radiance data assimilation applications.
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Abstract: Modern infrared satellite sensors such as the Atmospheric Infrared Sounder (AIRS), the Cross-Track Infrared Sounder (CrIS), the Tropospheric Emission Spectrometer (TES), the Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS), and the Infrared Atmospheric Sounding Interferometer (IASI) are capable of providing high spatial and spectral resolution infrared spectra To fully exploit the vast amount of spectral information from these instruments, superfast radiative transfer models are needed We present a novel radiative transfer model based on principal component analysis Instead of predicting channel radiance or transmittance spectra directly, the principal component-based radiative transfer model (PCRTM) predicts the principal component (PC) scores of these quantities This prediction ability leads to significant savings in computational time The parameterization of the PCRTM model is derived from the properties of PC scores and instrument line-shape functions The PCRTM is accurate and flexible Because of its high speed and compressed spectral information format, it has great potential for superfast one-dimensional physical retrieval and for numerical weather prediction large volume radiance data assimilation applications The model has been successfully developed for the NAST-I and AIRS instruments The PCRTM model performs monochromatic radiative transfer calculations and is able to include multiple scattering calculations to account for clouds and aerosols
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Citations
Hyperspectral Earth Observation from IASI: Five Years of Accomplishments
F. Hilton,Raymond Armante,Thomas August,Christopher D. Barnet,A. Bouchard,Claude Camy-Peyret,Virginie Capelle,Lieven Clarisse,Cathy Clerbaux,Pierre-François Coheur,Andrew Collard,Cyril Crevoisier,Gaëlle Dufour,David P. Edwards,Francois Faijan,Nadia Fourrié,Antonia Gambacorta,Mitchell D. Goldberg,Vincent Guidard,Daniel Hurtmans,Sam Illingworth,Nicole Jacquinet-Husson,Tobias Kerzenmacher,Dieter Klaes,L. Lavanant,Guido Masiello,Marco Matricardi,A. P. McNally,Stuart M. Newman,Edward Pavelin,Sébastien Payan,Eric Péquignot,Sophie Peyridieu,Thierry Phulpin,John Remedios,Peter Schlüssel,Carmine Serio,L. Larrabee Strow,Claudia J. Stubenrauch,Jonathan P. Taylor,David C. Tobin,Walter Wolf,D. K. Zhou +42 more
TL;DR: The Infrared Atmospheric Sounding Interferometer (IASI) as discussed by the authors is the main sounding component of EUMETSAT's Metop-A satellite, which was launched in October 2006.
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