Smart low flow signature metrics for an improved overall performance evaluation of hydrological models
By M. Pfannerstill, B. Guse, Nicola Fohrer. 2014
207 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/f55c82cfd44a401123e9446eece2d83e916de6f0
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In Environmental Engineering
In Global and Planetary Change
In Water Science and Technology
Citations in the corpus
- HESS Opinions : The complementary merits of competing modelling philosophies in hydrology (2017, background): “…(e.g. Gharari et al., 2014b; Hrachowitz et al., 2014) and solute dynamics (e.g. Birkel et al., 2010; Fenicia et al., 2010) as well as hydrological signatures of the system, e.g. duration curves (e.g. Euser et al., 2013; Pfannerstill et al., 2014; Guse et al., 2016; Kelleher et al., 2017).”
- Evaluating model performance: towards a non-parametric variant of the Kling-Gupta efficiency (2018, background): “…catchment characteristics such as flashiness or baseflow can be linked to specific segments of the FDC, it has become a widely used signature for model calibration (Yilmaz et al. 2008, Westerberg et al. 2011, Pokhrel et al. 2012, Euser et al. 2013, Pfannerstill et al. 2014, Garcia et al. 2017).”