Articles | Volume 25, issue 8
Hydrol. Earth Syst. Sci., 25, 4319–4333, 2021
Hydrol. Earth Syst. Sci., 25, 4319–4333, 2021

Research article 05 Aug 2021

Research article | 05 Aug 2021

Streamflow estimation at partially gaged sites using multiple-dependence conditions via vine copulas

Kuk-Hyun Ahn

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Manuscript not accepted for further review
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Cited articles

Aas, K., Czado, C., Frigessi, A., and Bakken, H.: Pair-copula constructions of multiple dependence, Insur. Math. Econ., 44, 182–198, 2009. 
Acar, E. F., Genest, C., and Nešlehová, J.: Beyond simplified pair-copula constructions, J. Multivar. Anal., 110, 74–90, 2012. 
Ahn, K.-H. and Palmer, R.: Regional flood frequency analysis using spatial proximity and basin characteristics: Quantile regression vs. parameter regression technique, J. Hydrol., 540, 515–526,, 2016a. 
Ahn, K.-H. and Palmer, R. N.: Use of a nonstationary copula to predict future bivariate low flow frequency in the Connecticut river basin, Hydrol. Process., 30, 3518–3532,, 2016b. 
Ahn, K.-H. and Steinschneider, S.: Hierarchical Bayesian Model for Streamflow Estimation at Ungauged Sites via Spatial Scaling in the Great Lakes Basin, J. Water Resour. Pl. Manage., 145, 04019030,, 2019. 
Short summary
This study proposes a multiple-dependence model for estimating streamflow at partially gaged sites. The evaluations are conducted on a case study of the eastern USA and show that the proposed model is suited for infilling missing values. The performance is further evaluated with six other infilling models. Results demonstrate that the proposed model produces more reliable streamflow estimates than the other approaches. The model can be applicable to other hydro-climatological variables.