The use of principal component analysis for the assimilation of high-resolution infrared sounder observations for numerical weather prediction

Quarterly Journal of the Royal Meteorological Society

Volumn 136, Issue 653, 2010, Pages 2038-2050

  Collard, A D ^a   McNally, A P ^a   Hilton, F I ^b   Healy, S B ^a   Atkinson, N C ^b  

^a EUROPEAN CENTRE FOR MEDIUM RANGE WEATHER FORECASTS   (United Kingdom)

^b MET OFFICE   (United Kingdom)

Author keywords

AIRS; Data assimilation; IASI; Satellite data

Indexed keywords

DATA ASSIMILATION; HIGH-RESOLUTION INFRARED SOUNDERS; IASI; JACOBIANS; NONLOCALITIES; NUMERICAL WEATHER PREDICTION; NUMERICAL WEATHER PREDICTION MODELS; OPERATIONAL ASSIMILATION; PRACTICAL PROBLEMS; PRINCIPAL COMPONENTS; RADIANCE SPECTRA; SATELLITE DATA;

ACOUSTIC DEVICES; DATA PROCESSING; INFRARED DEVICES; INFRARED INSTRUMENTS; MATHEMATICAL MODELS; WEATHER FORECASTING;

PRINCIPAL COMPONENT ANALYSIS;

CLIMATE PREDICTION; DATA ASSIMILATION; INFRARED IMAGERY; NUMERICAL MODEL; PRINCIPAL COMPONENT ANALYSIS; SATELLITE DATA; WEATHER FORECASTING;

EID: 78650056198     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.701     Document Type: Article

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