2022
DOI: 10.1007/s00704-022-03981-1
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Detection and forecast of climate change effect on siltation using copulas

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Cited by 2 publications
(3 citation statements)
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“…In simpler terms, by having knowledge of only the marginal distributions of two random variables, it is theoretically possible to construct their joint distribution. Copulas have found widespread application in various fields, notably in finance [13][14][15][16][17] and hydrology [18][19][20][21][22][4][5].…”
Section: Copula For Hydroclimatic Applicationsmentioning
confidence: 99%
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“…In simpler terms, by having knowledge of only the marginal distributions of two random variables, it is theoretically possible to construct their joint distribution. Copulas have found widespread application in various fields, notably in finance [13][14][15][16][17] and hydrology [18][19][20][21][22][4][5].…”
Section: Copula For Hydroclimatic Applicationsmentioning
confidence: 99%
“…Musafer et al [29] proposed a method utilizing vine copulas to estimate prediction uncertainty within an environmental context. Pereira et al [30] employed vine copulas to achieve a stochastic simulation of stream-flow scenarios.In a more recent development, El Hannoun et al [4] utilized R-vine copulas to model the co-dependencies of five reservoirs, emphasizing hydrologic design and cascade reservoir management in the basin of the Saint-John River. This research highlights the versatility and applicability of vine copulas in addressing various aspects of hydrological studies, ranging from temperature relationships to storm variables, prediction uncertainty, stream-flow scenarios, and reservoir co-dependencies.…”
Section: Choosing the Appropriate Copula Fittingmentioning
confidence: 99%
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