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Simulations from both fields and from both years gave satisfactory results (Table 2) confirming that simulations follow the same pattern as measured values and describe the trend better than the mean of the observations.

Table 2

Statistical analysis of model performance for observed and simulated soil moisture

 Longlands South
Wyke Moor
DayCent model Longland South
Year201220132012201320122013
R 1.00 0.97 0.98 0.96 0.97 0.94 
RMSE 3.00% 9.50% 5.33% 9.59% 7.53% 13.0% 
EF 0.99 0.94 0.96 0.93 0.92 0.88 
CD 0.97 1.02 1.00 0.94 0.92 0.95 
RE −1.34 −2.54 −1.46 0.05 2.54 −2.16 
MD −0.004 −0.007 −0.005 0.0001 0.008 −0.006 
ME 0.04 0.09 0.07 0.10 0.11 0.14 
N 365 300 365 259 365 300 
 Longlands South
Wyke Moor
DayCent model Longland South
Year201220132012201320122013
R 1.00 0.97 0.98 0.96 0.97 0.94 
RMSE 3.00% 9.50% 5.33% 9.59% 7.53% 13.0% 
EF 0.99 0.94 0.96 0.93 0.92 0.88 
CD 0.97 1.02 1.00 0.94 0.92 0.95 
RE −1.34 −2.54 −1.46 0.05 2.54 −2.16 
MD −0.004 −0.007 −0.005 0.0001 0.008 −0.006 
ME 0.04 0.09 0.07 0.10 0.11 0.14 
N 365 300 365 259 365 300 

R = correlation coefficient; RMSE = root mean square error; EF = modelling efficiency; CD = coefficient of determination; RE = relative error; MD = mean deviation; ME = maximum error.

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