Probabilistic 0-1-h convective initiation nowcasts that combine geostationary satellite observations and numerical weather prediction model data

Journal of Applied Meteorology and Climatology

Volumn 54, Issue 5, 2015, Pages 1039-1059

  Mecikalski, John R ^a   Williams, John K ^b   Jewett, Christopher P ^a   Ahijevych, David ^b   LeRoy, Anita ^a   Walker, John R ^a  

^a UNIVERSITY OF ALABAMA IN HUNTSVILLE   (United States)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

Cumulus clouds; Nowcasting; Satellite observations; Statistical techniques

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION TREES; ERRORS; FORECASTING; GEOSTATIONARY SATELLITES; SATELLITES; TRACKING (POSITION);

CUMULUS CLOUD; ENVIRONMENTAL CONDITIONS; GEOSTATIONARY OPERATIONAL ENVIRONMENTAL SATELLITE-R; NOWCASTING; NUMERICAL WEATHER PREDICTION; NUMERICAL WEATHER PREDICTION MODELS; SATELLITE OBSERVATIONS; STATISTICAL TECHNIQUES;

WEATHER FORECASTING;

ARTIFICIAL INTELLIGENCE; CLIMATE PREDICTION; CUMULUS; GEOSTATIONARY SATELLITE; NOWCASTING; REGRESSION ANALYSIS; SATELLITE DATA; STORM TRACK; WEATHER FORECASTING;

EID: 84943743955     PISSN: 15588424     EISSN: 15588432     Source Type: Journal    
DOI: 10.1175/JAMC-D-14-0129.1     Document Type: Article

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