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9 October 2009 Improvement of optical depth relations to PM2.5 concentrations using lidar derived PBL heights
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Abstract
To provide reasonable forcasts of near surface PM2.5 levels, it necessary that satellite measurments provide a reasonable estimator of PM2.5 which can be coupled to a transport model. Unfortunately this requires that the aerosol be homogeneously mixed and that the extent of the PBL be sufficiently accurate. For example, the IDEA product (Infusing satellite Data into Environmental Applications) used by the EPA relies on a static relationship connecting PM2.5 to MODIS aerosol optical depth (AOD) which relies on a static model of the PBL aerosol height. In this paper, we show that the PBL height is far from static and by taking the variable PBL into account, a better prediction of PM2.5 from the MODIS (AOD) measurements is obtained. In addition, seasonal variations in the microphysical properties are also demonstrated and accounting for the additional variability further improves the PM25/AOD slope predictor.
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S. Chaw, Y. Wu, B. Gross, F. Moshary, and S. Ahmed "Improvement of optical depth relations to PM2.5 concentrations using lidar derived PBL heights", Proc. SPIE 7479, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing V, 747906 (9 October 2009); https://doi.org/10.1117/12.830664
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