Experiments with the assimilation of fine aerosols using an ensemble Kalman filter

被引:61
作者
Pagowski, Mariusz [1 ,2 ]
Grell, Georg A. [1 ]
机构
[1] NOAA, Global Syst Div, Earth Syst Res Lab, Boulder, CO 80305 USA
[2] Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA
关键词
CHEMICAL-DATA ASSIMILATION; VARIATIONAL STATISTICAL-ANALYSIS; RECURSIVE FILTERS; NUMERICAL ASPECTS; PART I; MODEL; CHEMISTRY; POLLUTION; SYSTEM; GOCART;
D O I
10.1029/2012JD018333
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
In a series of experiments we issue forecasts of fine aerosol concentration over the coterminous USA and southern Canada using the Weather Research and Forecasting - Chemistry model initialized with 3D-VAR or ensemble Kalman filter (EnKF) assimilation methods. Assimilated observations include surface measurements of fine aerosols from the United States Environmental Protection Agency AIRNow Data Exchange program. Evaluation statistics calculated over a month-and-half-long summer period demonstrate the advantage of EnKF over 3D-VAR and point to the limitations of applying a simple aerosol parameterization for predicting air quality over the forecast area. Strategies for further improvement of forecasting aerosol concentrations are discussed.
引用
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页数:15
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