Improving NOAA NAQFC PM2.5 predictions with a bias correction approach

Weather and Forecasting

Volumn 32, Issue 2, 2017, Pages 407-421

  Huang, Jianping ^a,b   McQueen, Jeffery ^b   Wilczak, James ^c   Djalalova, Irina ^c,d   Stajner, Ivanka ^c   Shafran, Perry ^a,b   Allured, Dave ^c,d   Lee, Pius ^e   Pan, Li ^e,f   Tong, Daniel ^e,f   Huang, Ho Chun ^a,b   DiMego, Geoffrey ^b   Upadhayay, Sikchya ^c,g   Monache, Luca Delle ^h  

^a IM Systems Group Inc   (United States)

^b CLIMATE PREDICTION CENTER   (United States)

^c NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^d UNIVERSITY OF COLORADO   (United States)

^e NOAA Air Resources Laboratory Silver Spring   (United States)

^f UNIVERSITY OF MARYLAND   (United States)

^g Syneren Technologies Corporation   (United States)

^h NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

Aerosols; Air quality; Bias; Ensembles; Operational forecasting

Indexed keywords

AEROSOLS; AIR NAVIGATION; AIR QUALITY;

AIR QUALITY FORECASTING; AIR QUALITY FORECASTS; BIAS; BIAS-CORRECTION METHODS; DAY-TO-DAY VARIABILITY; ENSEMBLES; OPERATIONAL FORECASTING; OPERATIONAL FORECASTS;

FORECASTING;

ACCURACY ASSESSMENT; AEROSOL; AIR QUALITY; ENSEMBLE FORECASTING; ERROR CORRECTION; NOAA SATELLITE; POLLUTION MONITORING; PREDICTION; SAMPLING BIAS;

UNITED STATES;

EID: 85016592233     PISSN: 08828156     EISSN: 15200434     Source Type: Journal    
DOI: 10.1175/WAF-D-16-0118.1     Document Type: Article

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