2,126
Views
50
CrossRef citations to date
0
Altmetric
Technical Papers

Prediction of daily fine particulate matter concentrations using aerosol optical depth retrievals from the Geostationary Operational Environmental Satellite (GOES)

, , , &
Pages 1022-1031 | Published online: 21 Aug 2012

Figures & data

Figure 1. PM2.5 monitoring site locations within the study domain.

Figure 1. PM2.5 monitoring site locations within the study domain.

Table 1. Site bias (μg m 3) estimates for 26 EPA PM2.5 monitoring sites

Figure 2. The relationship between column aerosol optical depth (AOD) derived from the GOES satellite and 24-hr integrated PM2.5 concentrations measurements at the 26 EPA sites in New England.

Figure 2. The relationship between column aerosol optical depth (AOD) derived from the GOES satellite and 24-hr integrated PM2.5 concentrations measurements at the 26 EPA sites in New England.

Figure 3. (a–c) Frequency distributions of AOD values as a function of PM2.5 concentrations. (d–f) Frequency distribution of PM2.5 mass as a function of AOD values.

Figure 3. (a–c) Frequency distributions of AOD values as a function of PM2.5 concentrations. (d–f) Frequency distribution of PM2.5 mass as a function of AOD values.

Figure 4. Frequency distribution of the random slopes and intercepts.

Figure 4. Frequency distribution of the random slopes and intercepts.

Figure 5. (a, b) Mixed-effects model cross-validation performance as assessed by 576 measured and predicted daily PM2.5 concentrations (10% of data). The solid line represents the regression line, and the dashed line displays the 1:1 line. (c) Cross-sectional comparisons between the average predicted and measured PM2.5 site concentrations.

Figure 5. (a, b) Mixed-effects model cross-validation performance as assessed by 576 measured and predicted daily PM2.5 concentrations (10% of data). The solid line represents the regression line, and the dashed line displays the 1:1 line. (c) Cross-sectional comparisons between the average predicted and measured PM2.5 site concentrations.

Table 2. Comparisons between the measured and predicted PM2.5 concentrations using mixed-effects model

Figure 6. Spatial variability in PM2.5 levels in the study region. Note that PM2.5 levels are expressed as differences between grid-specific predicted and regional PM2.5 concentrations (µg m−3).

Figure 6. Spatial variability in PM2.5 levels in the study region. Note that PM2.5 levels are expressed as differences between grid-specific predicted and regional PM2.5 concentrations (µg m−3).

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.