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The validation results of the CTsoil and CTtopo applications show model efficiencies of 83% and 67%, respectively.
Model efficiencies for simulated soil temperature approached or exceeded 0.90 for nearly all residue treatments and locations.
The full model (Fig. 2a) predicted sterility with RMSE values of 8to12%2% and model efficiencies of 0.88 to 0.94 (Table 2).
Besides, tissue-specific equations for liver in G. melastomus provided non-significant differences between δ13Ccorrected and δ13Clipid free values, but all model efficiencies were fairly low.
The goodness of fit was statistically assessed for observed and simulated peak flows, hydrograph volumes, Nash-Sutcliffe model efficiencies (NSE), and soil water content (SWC) in swale soil layers.
Grouping species into categories of: (i) non-eucalypts, (ii) tree-form eucalypts, (iii) unharvested mallee eucalypts, and (iv) coppiced mallee eucalypts, provided equations with model efficiencies of 0.64 0.90.
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Methods of dramatically improving joint model efficiency were highlighted.
Essentially, the closer the model efficiency is to 1, the more accurate the model is.
The Nash Sutcliffe model efficiency coefficient is used to assess the predictive power of hydrological models.
Two statistical criteria were examined: adjusted model efficiency (ME adj ) and root mean square error (RMSE).
Nash Sutcliffe model efficiency coefficients (E f) for LVC and LPC using MVRA are −344.5627 and −633.2961 respectively.
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