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Table 2 Statistical summary of the climate data validation. Bias on 78 plots was calculated as a difference between the daily empirical and interpolated values and aggregated into mean for each plot. Mean bias in the table below depicts the mean value of the climatic variables on the plots, so do the SD, mean correlation, mean R2, and mean RMSE

From: Interpolated daily temperature and precipitation data for Level II ICP Forests plots in Germany

 

Variable

Tmean

Tmin

Tmax

P

Before bias correction

Mean bias

0.52 °C

0.41 °C

0.44 °C

0.1 mm

SD

1.05 °C

1.58 °C

1.27 °C

3.60 mm

Mean correlation

0.989

0.969

0.988

0.752

Mean R2

0.978

0.940

0.977

0.57

RMSE

1.26 °C

1.90 °C

1.51 °C

3.61 mm

After bias correction

Mean bias

0 °C

0 °C

0 °C

0 mm

SD

1.02 °C

1.54 °C

1.21 °C

3.54 mm

Mean correlation

0.989

0.97

0.989

0.754

Mean R2

0.978

0.941

0.978

0.57

RMSE

1.02 °C

1.54 °C

1.21 °C

3.54 mm

  1. Explanation of statistic: (1) SD, standard deviation of the mean bias; (2) mean correlation, mean Pearson’s correlation coefficient of all the plots; (3) mean R2, mean regression coefficient; (4) RMSE, root-mean-square error. 2, 3, and 4 are the agreement between the interpolated (before and after the bias correction) and the measured Level II data