Combining deterministic and statistical approaches for PM10 forecasting in Europe

Atmospheric Environment

Volumn 43, Issue 40, 2009, Pages 6425-6434

  Konovalov, I B ^a,b   Beekmann, M ^b   Meleux, F ^c   Dutot, A ^b   Foret, G ^b  

^a INSTITUTE OF APPLIED PHYSICS   (Russian Federation)

^b LABORATOIRE INTERUNIVERSITAIRE DES SYSTÈMES ATMOSPHÉRIQUES   (France)

^c INSTITUT NATIONAL DE L ENVIRONNEMENT INDUSTRIEL ET DES RISQUES INERIS   (France)

Author keywords

Air quality; CTM; Data assimilation; Neural network; Particulate matter; Statistical model

Indexed keywords

ADVERSE HEALTH EFFECTS; AIRBORNE PARTICULATE MATTERS; CHEMISTRY TRANSPORT MODEL; COEFFICIENT OF DETERMINATION; COMBINED MODEL; CTM; DATA ASSIMILATION; DETERMINISTIC FORECASTS; INTENSIVE RESEARCH; MONITORING SITES; PARTICULATE MATTER; ROOT MEAN SQUARED ERRORS; RURAL SITE; STATISTICAL APPROACH; STATISTICAL MODELS; SUBURBAN SITES; URBAN SITE;

AIR QUALITY; DATA PROCESSING; FORECASTING; NEURAL NETWORKS; SIMULATORS;

STATISTICS;

AIR QUALITY; ARTIFICIAL NEURAL NETWORK; DATA ASSIMILATION; FORECASTING METHOD; MODELING; PARTICULATE MATTER; STATISTICAL ANALYSIS;

AIR MONITORING; AIR QUALITY; ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; EUROPE; FORECASTING; LINEAR REGRESSION ANALYSIS; PARTICULATE MATTER; POLLUTION TRANSPORT; PRIORITY JOURNAL; SEASONAL VARIATION; SIMULATION; STATISTICAL MODEL; URBAN RURAL DIFFERENCE;

EURASIA; EUROPE;

EID: 70749123472     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2009.06.039     Document Type: Article

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