A study on copula-based bivariate and trivariate drought assessment in Godavari River basin and the teleconnection of drought with large-scale climate indices

Dixit, Soumyashree; Jayakumar, K.

doi:10.1007/s00704-021-03792-w

Cited by 21 publications

(2 citation statements)

References 52 publications

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“…Here the multivariate perturbation of stimuli, for example, meteorological drought, could potentially affect the responder drought type in close succession of a time window through the mechanism of pooling (i.e., merging meteorological drought into a persistent hydrological drought) and lengthening (i.e., increase in drought persistency moving from meteorological-soil moisture depletion-to hydrological) ( Van Loon et al, 2014). Further, most of the literature on multivariate drought hazard assessments has primarily analyzed a single type of drought, such as either meteorological (Das et al, 2020;Dixit & Jayakumar, 2021;Mirabbasi et al, 2012;Poonia et al, 2021;Shiau, 2006) or streamflow-based (Kao & Govindaraju, 2010;Wang et al, 2020) droughts. The imprints of precipitation deficit onto streamflow droughts across different climate regimes of the globe considering mutually dependent drought attributes and its response to milder versus extreme droughts remains unclear.…”

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confidence: 99%

Observational Evidence for Multivariate Drought Hazard Amplifications Across Disparate Climate Regimes

2022

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Drought poses significant challenges to global water security in a warming world. A global‐scale synthesis of the multivariate drought risk considering interdependencies between drought attributes across disparate climate regimes is still lacking. Leveraging precipitation and streamflow observations of 270 large catchments over the globe, we show that multivariate drought hazard amplifies significantly (at ∼65–76% of catchments) considering dependence between drought duration and severity. A signifying nature of this amplification (A) is the power‐law scaling with dependence metric (A∝τλ;0.25emλ=5−12; $A\propto {\tau }^{\lambda };\,\lambda =5-12;$ where τ and λ are Kendall's correlation and the scaling exponent), revealing current approaches considering drought attributes as independent or linearly dependent will severely underestimate likelihood of extreme droughts. Furthermore, we find disparate responses in the multivariate imprints of meteorological to hydrological droughts across climate types, with strengths varying from large to modest in Tropics and Mid‐latitudes, which indicates weaker overlap between rain‐deficit and streamflow droughts. In contrast, a strong overlap in multivariate hazards of rain‐deficit and streamflow droughts is apparent across transitional Subtropics. Our study highlights the relevance of accounting for multivariate aspects of drought hazards to inform adaptation to water scarcity in a changing climate.

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Observational Evidence for Multivariate Drought Hazard Amplifications Across Disparate Climate Regimes

2022

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“…In this paper, we used the SRI series and the run theory to compute drought duration (D), severity (S), and peak (P) of 1951 and 2008. In addition, we identified marginal distribution for drought duration, severity, and intensity peak series, and identified the most suitable copula functions for joint frequency distribution [36][37][38][39][40]. Moreover, we appraised the performance of four bivariate and eight trivariate Archimedean copulas and computed the probabilistic drought properties using the best-fitted copula functions.…”

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Analysis of Hydrologic Drought Frequency Using Multivariate Copulas in Shaying River Basin

Cui

Hao

et al. 2022

Water

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Droughts, considered one of the most dangerous and costly water cycle expressions, always occurs over a certain region, lasting several weeks or months, and involving multiple variables. In this work, a multivariate approach was used for the statistical characterization of hydrological droughts in Shaying River Basin with data from 1959–2008. The standard runoff index (SRI) and the run theory were employed to defined hydrological drought character variables (duration, severity, and intensity peak). Then, a multivariate joint probability analysis with four symmetric and corresponding asymmetric Archimedean Copulas was presented; and the multivariate frequency analysis with the joint return periods (Tand and Tor) were estimated. The results showed that the hydrological droughts have a severity of 4.79 and 5.09, and the drought intensity peak is of 1.35 and 1.50 in Zhoukou station and Luohe station, respectively; the rank correlation coefficients τ are more than 0.5, which means multivariate copulas can effectively describe the joint frequency distributions among multivariate variables. Drought risk shows a spatial variation: the downstream observed at Zhoukou station is characterized by a higher multivariate drought risk. In general, multivariate copulas provide a reliable method when constructing a comprehensive drought index and evaluating multivariate drought characteristics. Thus, this paper can provide useful indications for the multi-dimensional droughts’ risks assessment in Shaying River Basin.

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Hydrological Drought and Trend Analysis in Kızılırmak, Yeşilırmak and Sakarya Basins

Kartal,

Emiroglu

2024

Pure Appl. Geophys.

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A study on copula-based bivariate and trivariate drought assessment in Godavari River basin and the teleconnection of drought with large-scale climate indices

Cited by 21 publications

References 52 publications

Observational Evidence for Multivariate Drought Hazard Amplifications Across Disparate Climate Regimes

Observational Evidence for Multivariate Drought Hazard Amplifications Across Disparate Climate Regimes

Analysis of Hydrologic Drought Frequency Using Multivariate Copulas in Shaying River Basin

Hydrological Drought and Trend Analysis in Kızılırmak, Yeşilırmak and Sakarya Basins

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