2013
DOI: 10.5194/hess-17-3639-2013
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On selection of the optimal data time interval for real-time hydrological forecasting

Abstract: Abstract. With the advancement in modern telemetry and communication technologies, hydrological data can be collected with an increasingly higher sampling rate. An important issue deserving attention from the hydrological community is which suitable time interval of the model input data should be chosen in hydrological forecasting. Such a problem has long been recognised in the control engineering community but is a largely ignored topic in operational applications of hydrological forecasting. In this study, t… Show more

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Cited by 17 publications
(8 citation statements)
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“…The PDM has been widely applied throughout the world for runoff prediction and currently in use for both operational and design purposes (Bell and Moore, 1998). It is under the category of lumped rainfall-runoff model capable of representing a variety of catchment-scale hydrological behaviors and requires only rainfall and reference evapotranspiration (ETo) for discharge prediction (Liu and Han, 2013). The model conceptual structural work flow of PDM is depicted through Fig.…”
Section: Pdm and Soil Moisture Deficitmentioning
confidence: 99%
“…The PDM has been widely applied throughout the world for runoff prediction and currently in use for both operational and design purposes (Bell and Moore, 1998). It is under the category of lumped rainfall-runoff model capable of representing a variety of catchment-scale hydrological behaviors and requires only rainfall and reference evapotranspiration (ETo) for discharge prediction (Liu and Han, 2013). The model conceptual structural work flow of PDM is depicted through Fig.…”
Section: Pdm and Soil Moisture Deficitmentioning
confidence: 99%
“…In reality, the time of concentration is correlated to different watershed parameters such as watershed area, main channel length, basin slope, soil type, and vegetation (roughness) [21]. In case of forecast of hydrological phenomena, the time of concentration significantly influences on tends of time interval [22]. Commonly the time of concentration is interpreted as critical storm duration (D kr ).…”
Section: Introductionmentioning
confidence: 99%
“…The PDM is a conceptual rainfall‐runoff model with analytical and computational simplicity (Beven, 2012; Moore, 2007). Its soil moisture storage capacity is characterized by a simple probability distribution curve (Liu & Han, 2013). This model has been widely applied in the UK and other countries.…”
Section: Methodsmentioning
confidence: 99%