Comparing CMAQ forecasts with a neural network forecast model for PM2.5 in New York

Atmosphere

Volumn 8, Issue 9, 2017, Pages

  Lightstone, Samuel D ^a   Moshary, Fred ^a   Gross, Barry ^a  

^a CITY COLLEGE OF NEW YORK   (United States)

Author keywords

Aerosol Optical Depth (AOD); Air quality model; Air Quality system (AQS); Community Multi Scale Air Quality (CMAQ) model; Fine particulate matter (PM2.5)

Indexed keywords

AIR QUALITY; ATMOSPHERIC AEROSOLS; DEFORESTATION; METEOROLOGY; PARTICLES (PARTICULATE MATTER); POLLUTION;

AEROSOL OPTICAL DEPTHS; AIR QUALITY MODELING; AIR QUALITY SYSTEMS; COMMUNITY MULTI-SCALE AIR QUALITIES; FINE PARTICULATE MATTER (PM2.5);

FORECASTING;

AEROSOL; AIR QUALITY; FORECASTING METHOD; METEOROLOGY; MODELING; OPTICAL DEPTH; PARTICULATE MATTER; POLLUTANT TRANSPORT; PREDICTION;

NEW YORK [NEW YORK (STT)]; NEW YORK [UNITED STATES]; UNITED STATES;

EID: 85029860128     PISSN: None     EISSN: 20734433     Source Type: Journal    
DOI: 10.3390/atmos8090161     Document Type: Article

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