Assimilating synthetic GOES-R radiances in cloudy conditions using an ensemble-based method

International Journal of Remote Sensing

Volumn 32, Issue 24, 2011, Pages 9637-9659

  Zupanski, Dusanka ^a   Zupanski, Milija ^a   Grasso, Lewis D ^a   Brummer, Renate ^a   Jankov, Isidora ^a   Lindsey, Daniel ^b   Sengupta, Manajit ^a   Demaria, Mark ^b  

^a Department of Environmental and Radiological Health Sciences   (United States)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GEOSTATIONARY SATELLITES; MAXIMUM LIKELIHOOD; WEATHER FORECASTING;

ADVANCED BASELINE IMAGER; ENSEMBLE-BASED METHOD; EXTRATROPICAL CYCLONES; GEOSTATIONARY OPERATIONAL ENVIRONMENTAL SATELLITES; MAXIMUM LIKELIHOOD ENSEMBLE FILTER; POTENTIAL IMPACTS; SIMULATED RADIANCES; WEATHER RESEARCH AND FORECASTING MODELS;

WEATHER SATELLITES;

CLOUD MICROPHYSICS; DATA ASSIMILATION; ENSEMBLE FORECASTING; ERROR ANALYSIS; ERROR CORRECTION; EXPERIMENTAL STUDY; GOES; MAXIMUM LIKELIHOOD ANALYSIS; RESEARCH WORK; WEATHER FORECASTING; WIND FIELD;

WESTERN EUROPE;

EID: 82155171362     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2011.572094     Document Type: Article

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