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A new scheme for probabilistic forecasting with an ensemble model based on CEEMDAN and AM-MCMC and its application in precipitation forecasting

Yinan Wang, Ze Yuan, Haoqi Liu, Zhenxiang Xing, Yi Ji, Heng Li, Qiang Fu, Chongxun Mo

2021Expert Systems with Applications40 citationsDOI

Topics & Concepts

Quantitative precipitation forecastProbabilistic logicPrecipitationMarkov chain Monte CarloProbabilistic forecastingAutocorrelationComputer scienceSeries (stratigraphy)Noise (video)Markov chainEnsemble forecastingStatisticsStandard deviationInterval (graph theory)Monte Carlo methodMathematicsMeteorologyArtificial intelligenceImage (mathematics)BiologyPhysicsCombinatoricsPaleontologyHydrological Forecasting Using AIEnergy Load and Power ForecastingHydrology and Drought Analysis
A new scheme for probabilistic forecasting with an ensemble model based on CEEMDAN and AM-MCMC and its application in precipitation forecasting | Litcius