Data-based analysis of bivariate copula tail dependence for drought duration and severity

Author:

Lee T.1,Modarres R.2,Ouarda T. B. M. J.

Affiliation:

1. Department of Civil Engineering, ERI; Gyeongsang National University; 501 Jinju-daero; Jinju; Gyeongsangnam-do; South Korea

2. INRS-ETE; 490 De La Couronne; Québec; QC; G1K9A9; Canada

Publisher

Wiley

Subject

Water Science and Technology

Reference50 articles.

1. Multi-year drought frequency analysis at multiple sites by operational hydrology-A comparison of methods;Arena;Physics and Chemistry of the Earth,2006

2. Multivariate quantiles in hydrological frequency analysis;Chebana;Environmetrics,2011

3. A Generalized Pareto intensity-duration model of storm rainfall exploiting 2-Copulas;De Michele;Journal of Geophysical Research-Atmospheres,2003

4. A multivariate model of sea storms using copulas;De Michele;Coastal Engineering,2007

5. Stochastic application of the low-water phenomenon;El-Jabi;Canadian Journal of Civil Engineering,1997

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