Using random forests to diagnose aviation turbulence

Machine Learning

Volumn 95, Issue 1, 2014, Pages 51-70

  Williams, John K ^a  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

Air traffic; Aviation; Data fusion; Random forest; Thunderstorms; Turbulence; Weather

Indexed keywords

AIR; AIR TRAFFIC CONTROL; AIR TRANSPORTATION; ALGORITHMS; ATMOSPHERIC TURBULENCE; DATA FUSION; DECISION TREES; DOPPLER RADAR; GEOSTATIONARY SATELLITES; NASA; THUNDERSTORMS; TURBULENCE; WEATHER FORECASTING; WEATHERING;

AIR TRAFFIC CONTROLLER; AIR TRAFFICS; FEDERAL AVIATION ADMINISTRATION; NATIONAL WEATHER SERVICES; NUMERICAL WEATHER PREDICTION MODELS; PROTOTYPE IMPLEMENTATIONS; RANDOM FORESTS; RECEIVER OPERATING CHARACTERISTIC CURVES;

AVIATION;

EID: 84897110479     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-013-5346-7     Document Type: Article

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