Table 1 Summary statistics of the model dataset.

From: Improving satellite-based PM2.5 estimates in China using Gaussian processes modeling in a Bayesian hierarchical setting

 

Mean

Standard Deviation

Min

Max

PM2.5 (µg/m3)

AOD

PM2.5 (µg/m3)

AOD

PM2.5 (µg/m3)

AOD

PM2.5 (µg/m3)

AOD

Annual

67.9

0.77

60.6

0.63

0.63

−0.03*

902

4.38

Spring

58.2

0.76

40.1

0.50

3.00

0.01

407

3.75

Summer

42.8

0.77

33.5

0.67

1.62

−0.01

417

4.28

Autumn

65.5

0.76

50.4

0.66

2.43

−0.03

902

4.37

Winter

106

0.81

85.7

0.67

0.63

0.01

852

3.61

  1. *Note that the MODIS Dark Target (DT) algorithm allows retrievals of small negative AOD values (down to −0.05)28.
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