A time-varying Copula-based approach to quantify the effects of antecedent drought on hot extremes
Author:
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference39 articles.
1. Use of a nonstationary copula to predict future bivariate low flow frequency in the Connecticut river basin;Ahn;Hydrol. Process.,2016
2. A century of observations reveals increasing likelihood of continental-scale compound dry-hot extremes. Science;Alizadeh;Advances,2020
3. Multivariate L-moment based tests for copula selection, with hydrometeorological applications;Ben Nasr;J. Hydrol.,2019
4. Multivariate design in the presence of non-stationarity;Bender;J. Hydrol.,2014
5. Modeling Dependence with C- and D-Vine Copulas: The R Package CDVine;Brechmann;J. Stat. Softw.,2013
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