Benchmarking quantitative precipitation estimation by conceptual rainfall-runoff modeling
نویسندگان
چکیده
منابع مشابه
Rainfall estimation by Remote Sensing for conceptual rainfall-runoff modeling in the Upper Blue Nile basin
...........................................................................................................iv Acknowledgement................................................................................................v Table of contents.................................................................................................vi List of figures.............................................
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Considering the importance of water and computing the amount of rainfall runoff resulted from precipitation in recent decades, using appropriate methods for predicting the amount of runoff from rainfall date has been really essential. Rainfall-runoff models are used to estimate runoff generated from precipitation in the catchment area. Rainfall-runoff process is totally a non-linear phenomenon....
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Considering the importance of water and computing the amount of rainfall runoff resulted from precipitation in recent decades, using appropriate methods for predicting the amount of runoff from rainfall date has been really essential. Rainfall-runoff models are used to estimate runoff generated from precipitation in the catchment area. Rainfall-runoff process is totally a non-linear phenomenon....
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An approach is described to the calibration of a conceptual rainfall-runoff model, the Probability Distributed Model (PDM), for estimating flood frequencies at gauged sites by continuous flow simulation. A first step was the estimation of routing store parameters by recession curve analysis. Uniform random sampling was then used to search for parameter sets that produced simulations achieving t...
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A parameter estimation method for stochastic rainfall-runoff models is presented. The model considered in the paper is a conceptual stochastic model, formulated in continuous-discrete state space form. The model is small and a fully automatic optimization is, therefore, possible for estimating all the parameters, including the noise terms. The parameter estimation method is a maximum likelihood...
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ژورنال
عنوان ژورنال: Water Resources Research
سال: 2011
ISSN: 0043-1397
DOI: 10.1029/2010wr009153