Adaptive thinning of atmospheric observations in data assimilation with vector quantization and filtering methods

Quarterly Journal of the Royal Meteorological Society

Volumn 131, Issue 613, 2006, Pages 3427-3437

  Ochotta, T ^a   Gebhardt, C ^b   Saupe, D ^a   Wergen, W ^b  

^a UNIVERSITY OF KONSTANZ   (Germany)

^b DEUTSCHER WETTERDIENST   (Germany)

Author keywords

Clustering; Numerical weather prediction; Redundant satellite data

Indexed keywords

ASSIMILATION SYSTEM; ATMOSPHERIC OBSERVATIONS; CLUSTERING; CLUSTERING METHODS; COMPUTATIONAL COSTS; DATA ASSIMILATION; DATA SETS; DISTANCE METRICS; FILTERING METHOD; FUTURE OBSERVATIONS; GEOMETRIC ERRORS; INFORMATION CONTENTS; INITIAL STATE; NUMERICAL WEATHER PREDICTION; OBSERVATION ERRORS; OBSERVATION SYSTEMS; REDUNDANT DATA; REDUNDANT SATELLITE DATA; SATELLITE DATA; SATELLITE INSTRUMENTS; SPATIAL DISTANCE; TEMPORAL DENSITY; THINNING ALGORITHM; THINNINGS; UNIFORM SAMPLING;

DATA PROCESSING; SATELLITES; SET THEORY; VECTOR QUANTIZATION; WEATHER FORECASTING;

CLUSTER ANALYSIS;

EID: 38849194996     PISSN: 00359009     EISSN: None     Source Type: Journal    
DOI: 10.1256/qj.05.94     Document Type: Article

References (6)

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