Assessment of WRF/Chem PM2.5 forecasts using mobile and fixed location data from the Fairbanks, Alaska winter 2008/09 field campaign

作者：Moelders Nicole; Tran Huy N Q; Cahill Catherine F; Lee****kultum Ketsiri; Tran Trang T

来源：Atmospheric Pollution Research, 2012, 3(2): 180-191.

DOI：10.5094/APR.2012.018

• WRF/Chem
• High latitudes
• Speciation
• Mobile measurements
• PM2.5

Weather Research and Forecasting model inline coupled with a chemistry package PM2.5 forecasts were assessed using fixed-site PM2.5 concentration and specification, and mobile PM2.5 concentration and temperature measurements from the Fairbanks winter 2008/09 field campaign. Performance differs with concentrations, varies among months and sites, and best results are achieved for PM2.5 concentrations between 15 and 50 mu g/m(3). On average over half-a-year and all sites, 24 h-average PM2.5 concentrations have a fractional bias and error, and a normalized mean bias and error of 22%, 67%, 13% and 71%, respectively. The skill scores derived from the mobile measurements indicate that high data density increases the representativeness of the observations and enhances the evaluation of spatial details. The model performed well for organic carbon and acceptably for sulfate, but underestimated ammonium significantly. %26lt;br%26gt;PM2.5 concentrations measured by two different devices at the same site indicate that measurement errors at extremely low temperatures and humidities explain up to 24% of the normalized mean error. Some discrepancies can be attributed clearly to errors in emissions, chemical boundary conditions and meteorology.

• 出版日期2012-4