Streamflow prediction in ungauged catchments using copula‐based dissimilarity measures
By Luis Samaniego, András Bárdossy, Rohini Kumar. 2010
138 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/e7a48180358f322add7c2876e6760862d27bfc60
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
In Water Science and Technology
Citations in the corpus
- Flow Prediction in Ungauged Catchments Using Probabilistic Random Forests Regionalization and New Statistical Adequacy Tests (2019, background): “…in gauged catchments and then transferred to ungauged catchments according to assumed relationships between model parameters and catchment characteristics (see Pechlivanidis et al., 2010; Samaniego et al., 2010; Wagener et al., 2004; see He et al., 2011, for a review of the corresponding methods).”
- Maximum entropy-Gumbel-Hougaard copula method for simulation of monthly streamflow in Xiangxi river, China (2015, background): “Moreover, as a critical part of nonparametric models, assumptions of the marginal distribution are not required (Yakowitz 1979; Kahya and Kalaycı 2004; Nowak et al. 2010; Samaniego et al. 2010).”