Tree-based threshold modeling for short-term forecast of daily maximum ozone level

Stochastic Environmental Research and Risk Assessment

Volumn 24, Issue 1, 2010, Pages 19-28

  Kim, Sung Eun ^a  

^a CALIFORNIA STATE UNIVERSITY   (United States)

Author keywords

Autoregression; Meteorological adjustment; Nonlinear time series; Ozone forecast

Indexed keywords

AUTO REGRESSIVE MODELS; AUTOREGRESSION; COVARIATES; DATA SETS; ENVIRONMENTAL MODELING; LINEAR TIME SERIES MODEL; METEOROLOGICAL VARIABLES; MONITORING STATIONS; NON-LINEARITY; NON-STATIONARITIES; NONLINEAR TIME SERIES; OZONE CONCENTRATION; OZONE FORECAST; OZONE LEVELS; REFERENCE MODELS; REGRESSION TREES; SHORT-TERM FORECASTS; SOUTHERN CALIFORNIA; THRESHOLD AUTO REGRESSIVE MODELS; THRESHOLD MODEL; TREE-BASED; TREE-BASED MODEL;

OZONE; REGRESSION ANALYSIS; TIME SERIES;

WEATHER FORECASTING;

ATMOSPHERIC MODELING; CONCENTRATION (COMPOSITION); COVARIANCE ANALYSIS; DATA SET; ENVIRONMENTAL MONITORING; FORECASTING METHOD; OZONE; REGRESSION ANALYSIS; TIME SERIES ANALYSIS;

CALIFORNIA; SAN BERNARDINO COUNTY; UNITED STATES;

EID: 77949774686     PISSN: 14363240     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00477-008-0295-6     Document Type: Article

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