A Non-stationary and Probabilistic Approach for Drought Characterization Using Trivariate and Pairwise Copula Construction (PCC) Model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-022-03069-5.pdf
Reference46 articles.
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2. Bazrafshan J, Hejabi S (2018) A non-stationary reconnaissance drought index (NRDI) for drought monitoring in a changing climate. Water Resour Manag 32(8):2611–2624. https://doi.org/10.1007/s11269-018-1947-z
3. Brechmann EC, Schepsmeier (2013) Modeling dependence with C- and D-vine copulas: the R package CDVine. J Stat Softw 52 (3): 1–27.
4. Chen M, Papadikis K, Jun C (2021) An investigation on the non-stationarity of flood frequency across the UK. J Hydrol 597:126309. https://doi.org/10.1016/j.jhydrol.2021.126309
5. Daneshkhah A, Remesan R, Chatrabgoun O, Holman IP (2016) Probabilistic modeling of flood characterizations with parametric and minimum information pair-copula model. J Hydrol 540:469–487. https://doi.org/10.1016/j.jhydrol.2016.06.044
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