On the use of spatial regularization strategies to improve calibration of distributed watershed models
By P. Pokhrel, Hoshin V. Gupta. 2010
80 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/207f50ad82e236537b52d0d6302fd3db25909918
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In Environmental Engineering
In Global and Planetary Change
In Water Science and Technology
Citations in the corpus
- Estimating epistemic and aleatory uncertainties during hydrologic modeling: An information theoretic approach (2013, methodology): “Close to the focus of this paper, information theory has been applied for model evaluation and uncertainty analysis as far back as the 1970s [e.g., Amorocho and Espildor, 1973; Chapman, 1986; Weijs et al., 2010a, 2010b; Weijs and van de Giesen, 2011; Abebe and Price, 2003; Pokhrel and Gupta, 2010].”
- On typical range, sensitivity, and normalization of Mean Squared Error and Nash‐Sutcliffe Efficiency type metrics (2011, methodology): “[15] Nonetheless, the analysis indicates that in the ‘‘optimized’’ case, an appropriate normalization would be the following, which is sometimes used in the literature [e.g., Pokhrel and Gupta, 2010]: NMSE ¼ MSE 2o ¼ 1 2so þ so o 2 1 2so ; ð10Þ which is, of course, related to NSE (NSE ¼ 1 NMSE).”
- Towards a comprehensive assessment of model structural adequacy (2012, methodology): “…et al., 2001], whereas in SW it is usually inferred from some combination of prior estimation using soils and vegetation data [Koren et al., 2000; Samaniego et al., 2010] and spatially regularized inverse estimation from rainfallrunoff data [Pokhrel et al., 2008, 2009; Pokhrel and Gupta, 2010].”
- Use of an entropy‐based metric in multiobjective calibration to improve model performance (2014, background): “Various studies have indicated that the use of such measures in model parameter identification [Herbst et al., 2009; Pokhrel and Gupta, 2010] and regionalization [Yadav et al., 2007; Oudin et al., 2008; Bulygina et al., 2011] shows promise.”
- A generalized grid connectivity–based parameterization for subsurface flow model calibration (2011, methodology): “…addressed using regularization, which stabilizes the solution by imposing one or more assumptions related to the underlying geologic model [Carrera and Neuman, 1986a, 1986b; Tikhonov and Arsenin, 1977; Tarantola, 2005; Tonkin and Doherty, 2009; Oliver et al., 2008; Pokhrel and Gupta, 2010].”