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Experiments with the assimilation of fine aerosols using an ensemble Kalman filter
Author(s) -
Pagowski Mariusz,
Grell Georg A.
Publication year - 2012
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2012jd018333
Subject(s) - ensemble kalman filter , data assimilation , aerosol , environmental science , meteorology , kalman filter , atmospheric sciences , air quality index , climatology , extended kalman filter , statistics , mathematics , geography , geology
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.

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