Fig. 2 | Scientific Data

Fig. 2

From: Global Soil Hydraulic Properties dataset based on legacy site observations and robust parameterization

Fig. 2

Performance of linear regression PTF to estimate θs and of the Tuller and Or29 model to estimate θr for SWCCs without wet- and dry-end information, respectively. (a) Relationship between measured values and cross-validation predictions of θs (measured θs are the values deduced from fitting the vG model to measured SWCCs). The solid black line is the 1:1 line, and the blue dashed line is the LOWESS (locally weighted scatter plot smoothing) curve. Cross-validation resulted in R2 = 0.645 and RMSE = 0.061 m3/m3 with BIAS = −0.009 m3/m3. (b) Performance of PTF that uses only bulk density to estimate θs for SWCCs without wet-end information measurements. Cross-validation resulted in R2 = 0.611 and RMSE = 0.066 m3/m3 with BIAS = −0.008 m3/m3. (c) Relation between measured and predicted water content at 150 m matric potential. Quantitative validation yielded the R2 = 0.752, RMSE = 0.053 m3/m3 with BIAS = −0.002 m3/m3.

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