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A Bayesian Hierarchical Network Model for Daily Streamflow Ensemble Forecasting
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2021
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Source: Water Resources Research, 57(9)
[PDF-3.82 MB]
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Journal Title:Water Resources Research
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Description:A novel Bayesian Hierarchical Network Model (BHNM) for ensemble forecasts of daily streamflow is presented that uses the spatial dependence induced by the river network topology and hydrometeorological variables from the upstream contributing area between station gauges. Model parameters are allowed to vary with time as functions of selected covariates for each day. Using the network structure to incorporate flow information from upstream gauges and precipitation from the immediate contributing area as covariates allows one to model the spatial correlation of flows simultaneously and parsimoniously. An application to daily monsoon period (July–August) streamflow
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Source:Water Resources Research, 57(9)
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DOI:
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ISSN:0043-1397;1944-7973;
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Rights Information:Other
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Compliance:Library
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