Journal ArticleDOI
River flow forecasting through conceptual models part I — A discussion of principles☆
J.E. Nash,J.V. Sutcliffe +1 more
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TLDR
In this article, the principles governing the application of the conceptual model technique to river flow forecasting are discussed and the necessity for a systematic approach to the development and testing of the model is explained and some preliminary ideas suggested.About:
This article is published in Journal of Hydrology.The article was published on 1970-04-01. It has received 19601 citations till now. The article focuses on the topics: Conceptual model & Flood forecasting.read more
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LISFLOOD: a GIS-based distributed model for river basin scale water balance and flood simulation
TL;DR: The spatially distributed LISFLOOD model is described, which is a hydrological model specifically developed for the simulation ofhydrological processes in large European river basins, and how the model is parameterized is discussed.
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A meteorological distribution system for high-resolution terrestrial modeling (MicroMet)
Glen E. Liston,Kelly Elder +1 more
TL;DR: In this article, an intermediate-complexity, quasi-physically based, meteorological model (MicroMet) is developed to produce high-resolution (e.g., 30-m to 1-km horizontal grid increment) atmospheric forcings required to run spatially distributed terrestrial models over a wide variety of landscapes.
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HydroTest: A web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts
TL;DR: An open access web site that can be used by hydrologists and other scientists to evaluate time series models and includes an open forum that is intended to encourage further discussion and debate on the topic of hydrological performance evaluation metrics.
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The impact of climate change on the water resources of Hindukush–Karakorum–Himalaya region under different glacier coverage scenarios
TL;DR: In this article, the authors presented estimates of water resources changes in three river basins in the Hindukush-Karakorum-Himalaya (HKH) region associated with climate change.
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Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition
TL;DR: Wang et al. as mentioned in this paper proposed an ensemble empirical mode decomposition (EEMD)-ARIMA model for forecasting annual runoff time series from Biuliuhe reservoir, Dahuofang reservoir and Mopanshan reservoir in China.