Evaluation of an integrated modelling system containing a multi-layer perceptron model and the numerical weather prediction model HIRLAM for the forecasting of urban airborne pollutant concentrations

Atmospheric Environment

Volumn 39, Issue 35, 2005, Pages 6524-6536

  Niska, Harri ^a   Rantamäki, Minna ^b   Hiltunen, Teri ^a   Karppinen, Ari ^b   Kukkonen, Jaakko ^b   Ruuskanen, Juhani ^a   Kolehmainen, Mikko ^a  

^a UNIVERSITY OF EASTERN FINLAND   (Finland)

^b FINNISH METEOROLOGICAL INSTITUTE   (Finland)

Author keywords

Air quality forecasting; Genetic algorithms; Model input selection; Multi layer perceptron; Numerical weather prediction

Indexed keywords

AIR QUALITY; GENETIC ALGORITHMS; MATHEMATICAL MODELS; METEOROLOGY; NUMERICAL ANALYSIS; SENSITIVITY ANALYSIS; WEATHER FORECASTING;

AIR QUALITY FORECASTING; MODEL INPUT SELECTION; MULTI-LAYER PERCEPTRON; NUMERICAL WEATHER PREDICTION;

AIR POLLUTION;

NITROGEN DIOXIDE;

AIR QUALITY; ATMOSPHERIC POLLUTION; FORECASTING METHOD; NUMERICAL MODEL; PARTICULATE MATTER; WEATHER FORECASTING;

AIR POLLUTANT; AIR QUALITY; ARTICLE; ARTIFICIAL NEURAL NETWORK; DATA ANALYSIS; GENETIC ALGORITHM; MATHEMATICAL ANALYSIS; PARTICULATE MATTER; PREDICTION; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; STATISTICAL SIGNIFICANCE; URBAN AREA; WEATHER;

EID: 26444607469     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2005.07.035     Document Type: Article

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