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Nonlinear Retrieval of Atmospheric Profiles from MetOp-IASI and MTG-IRS Data

Abstract:

This paper evaluates the potential use of nonlinear retrieval methods to derive cloud, surface and atmospheric properties from hyperspectral MetOp-IASI and MTG-IRS spectra. The methods are compared in terms of both accuracy and speed with the current IASI and IRS L2 PPFP implementation, which consists of a principal component extraction, typically referred as to Empirical Orthogonal Functions (EOF), and a subsequent canonical linear regression. This research proposes the evaluation of some ot...

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Publication status:
Published

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Publisher copy:
10.1117/12.864928

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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Role:
Author
Volume:
7830
Host title:
IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XVI
Publication date:
2010-01-01
DOI:
ISSN:
0277-786X
Source identifiers:
159206
ISBN:
9780819483478
Keywords:
Pubs id:
pubs:159206
UUID:
uuid:591be8ac-f864-4206-83c0-92f8dc286d6f
Local pid:
pubs:159206
Deposit date:
2012-12-19

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