Table 2 Four statistical indicators for examining the simulation precision of the model.

From: Investigating spatiotemporal changes of the land-surface processes in Xinjiang using high-resolution CLM3.5 and CLDAS: Soil temperature

Names of the statistical indicators Equations
RMSE \(RMSE=\sqrt{\frac{{\sum _{i=1}^{n}({V}_{oi}-{V}_{pi})}^{2}}{n}}\)
MAE \(MAE=\frac{1}{n}\cdot \sum _{i=1}^{n}ABS({V}_{oi}-{V}_{pi})\)
ME \(ME=\frac{1}{n}\cdot \sum _{i=1}^{n}({V}_{oi}-{V}_{pi})\)
COR \(COR={\rm{corr}}({V}_{oi},{V}_{pi})=\frac{\mathrm{cov}({V}_{oi,}{V}_{pi})}{{\sigma }_{{V}_{oi}}{\sigma }_{{V}_{pi}}}\)
  1. V oi : observed soil temperature value (K); V pi : simulated soil temperature value (K); n: number of stations.