Predicting Hydrological Drought With Bayesian Model Averaging Ensemble Vine Copula (BMAViC) Model

Streamflow deficit (hydrological drought) poses a large risk to water resources management, agricultural production, water supply, hydropower generation, and ecosystem services. Reliable and robust hydrological drought predictions are critical for water and food security and ecosystem health under a...

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Veröffentlicht in:	Water resources research 2022-11, Vol.58 (11), p.n/a
Hauptverfasser:	Wu, Haijiang, Su, Xiaoling, Singh, Vijay P., Zhang, Te
Format:	Artikel
Sprache:	eng
Schlagworte:	Agricultural production Anthropogenic factors Bayesian analysis Bayesian model averaging Bayesian theory Drought drought prediction Ecosystem services ensemble prediction Food security Hydroelectric power Hydroelectric power generation Hydrologic drought Hydrologic models Hydrology meta‐Gaussian Modelling Prediction models Probability theory River basins Robustness Skills Statistical methods Stream discharge Stream flow vine copulas Water resources Water resources management Water supply
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