Nonparametric Approach for Estimating Return Periods of Droughts in Arid Regions

By Tae‐Woong Kim, Juan B. Valdes, C. Yoo. 2003

162 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/b69d78f05ca329aec5cd8dda381e7b42e550ccf7

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Citations in the corpus

NONLINEAR MODEL FOR DROUGHT FORECASTING BASED ON A CONJUNCTION OF WAVELET TRANSFORMS AND NEURAL NETWORKS (2003, background): “The spatial and recurrence characteristics of the PDSI in the Conchos River Basin have been examined by Kim et al. (2002, 2003).”
Multivariate drought characteristics using trivariate Gaussian and Student t copulas (2013, background): “A number of studies (Cancelliere et al., 1998; Fernández and Salas, 1999; Chung and Salas, 2000; Shiau and Shen, 2001; González and Valdés, 2003; Kim et al., 2003, 2006; Shiau, 2003; Cancelliere and Salas, 2004; Loáiciga, 2005; Salas et al., 2005; Nadarajah, 2007; Shiau et al., 2007; Mishra et al.,…”
Frequency analysis via copulas: Theoretical aspects and applications to hydrological events (2004, background): “[28] Archimedean copulas are (1) symmetric (i.e., for all u, v 2 I, C(u, v )= C(v, u)) and (2) associative (i.e., for all u, v, w 2 I, C(C(u, v), w )= C(u, C(v, w))); note that the symmetry condition 1 can be relaxed [ Joe, 1997 ].”
Probabilistic characterization of drought properties through copulas (2009, methodology): “(2007), until now, the joint analysis was focused on the bivariate case (e.g. Shiau and Shen, 2001; Bonaccorso et al., 2003b; Kim et al., 2003; González and Valdés, 2003; Salas et al., 2005) exploiting different methods to model the joint distribution of drought duration and drought”
Bivariate drought frequency analysis using the copula method (2012, background): “The planning and management of water resources systems under drought conditions requires the estimation of the return periods of drought events, which are characterized by high severities (Kim et al. 2003).”
A copula-based joint deficit index for droughts. (2010, background): “Many hydrologic drought analyses have followed this rationale (such as Dracup et al., 1980; Zelenhasić and Salvai, 1987; Frick et al., 1990; Kim et al., 2003; Abi-Zeid et al., 2004; Cancelliere and Salas, 2004; Salas et al., 2005).”
Bivariate flood frequency analysis: Part 1. Determination of marginals by parametric and nonparametric techniques (2008, methodology): “For an asymptotically optimal choice for h, an overall measure of the effectiveness of f̂ ðxÞis provided by the mean integrated squared error (MISE), described by the following equation (Bowman and Azzalini, 1997; Kim et al., 2003):”
Spatial analysis of meteorological drought return periods in China using Copulas (2015, methodology): “Before 2006, drought frequency and return period analysis were mainly based on univariate statistical analysis by calculating the frequency of drought duration, severity, peak and area (Bonaccorso et al. 2003; Kim et al. 2003).”
Multivariate multiparameter extreme value models and return periods: A copula approach (2010, background): “[2] The multivariate extreme problems in hydrology and water resources engineering include, among others, (1) flood and drought occurrences at different sites [Singh, 1986; Pons, 1992; Kim et al., 2003; Keef et al., 2009], (2) the precipitation dynamics (rain and snow) [Wilks, 1998; Herr and Krzyszt”
Fitting Drought Duration and Severity with Two-Dimensional Copulas (2006, background): “A significant amount of researches (Gupta and Duckstein, 1975; Sen, 1976, 1977, 1980; Dracup et al., 1980a, b; Zelenhastic and Salvai, 1987; Frick et al., 1990; Kendall and Dracup, 1992; Rossi et al., 1992; Lo´ aiciga and Leipnik, 1996; Cancelliere et al., 1998; Fern´ andez and Salas, 1999; Chung ”
Multivariate L‐moment homogeneity test (2007, background): “…and De Michele, 2004b]; flood peak, volume and duration [Ashkar, 1980; Yue et al., 1999; Ouarda et al., 2000; Yue, 2001b; Yue and Rasmussen, 2002; Shiau, 2003; De Michele et al., 2005; Zhang and Singh, 2006]; and drought volume, duration and magnitude [Kim et al., 2003; Ashkar et al., 1998].”