Influence of surface observations in mesoscale data assimilation using an ensemble Kalman filter

Monthly Weather Review

Volumn 142, Issue 4, 2014, Pages 1489-1508

  Ha, So Young ^a   Snyder, Chris ^a  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

Data assimilation; Numerical weather prediction forecasting

Indexed keywords

KALMAN FILTERS; MOISTURE; RESEARCH; STORMS;

DATA ASSIMILATION; ENSEMBLE DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; NUMERICAL WEATHER PREDICTION/FORECASTING; PLANETARY BOUNDARY LAYERS; PRECIPITATION FORECAST; STRUCTURE AND DYNAMICS; WEATHER RESEARCH AND FORECASTING MODELS;

WEATHER FORECASTING;

BOUNDARY LAYER; DATA ASSIMILATION; ENSEMBLE FORECASTING; KALMAN FILTER; MESOSCALE METEOROLOGY; NUMERICAL MODEL; OBSERVATIONAL METHOD; PRECIPITATION ASSESSMENT; PRECIPITATION INTENSITY; RAINFALL; SQUALL LINE; WEATHER FORECASTING;

OKLAHOMA PANHANDLE; OKLAHOMA [UNITED STATES]; UNITED STATES;

EID: 84897457111     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-13-00108.1     Document Type: Article

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