Table 2 Table showing the Pearson correlation and uncertainty (relative RMSE) between the CO2 emission time series of (A) CHETNA-Road and CM-Cities, (B) CHETNA-Road and EDGAR.

From: High-resolution gridded CO2 and pollutant emission data from road traffic in Indian cities

City

(A) Temporal

(B) Spatial

Grids

Correlation

RRMSE

Correlation

RRMSE

Bengaluru

0.52

0.39

0.77

0.42

9

Chandigarh

0.74

0.98

1.00*

0.58

1

Chennai

0.55

0.49

0.16

0.55

6

Delhi

0.71

0.16

0.58

0.92

25

Guwahati

0.63

0.84

1.00*

0.72

2

Hyderabad

0.65

0.96

0.65

0.50

9

Indore

0.70

0.62

0.46*

1.00

4

Jaipur

0.68

0.76

−0.95*

0.58

4

Kolkata

0.62

0.31

0.99*

0.63

3

Lucknow

0.68

0.39

0.78

0.72

6

Mangaluru

0.58

0.92

−1.00*

0.52

2

Mumbai

0.59

0.51

0.86

0.60

8

Pune

0.65

0.50

−0.96*

0.66

4

Tiruppur

0.62

0.94

1.00*

0.18

2

Vadodara

0.61

0.32

0.84*

0.42

4

  1. Grids column refers to the number of coarsened grids used for spatial comparison.
  2. *Some cities only had a few emission points inside the city boundary, which was not enough to make a good comparison. This could lead to unmeaningful correlations. We marked them if the number of grids were lower than 6.