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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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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Regional methods for trend detection: Assessing field significance and regional consistency
Benjamin Renard,Michel Lang,Philippe Bois,Anne Dupeyrat,O. Mestre,Hélène Niel,Eric Sauquet,Christel Prudhomme,S. Parey,Emmanuel Paquet,Luc Neppel,Joël Gailhard +11 more
TL;DR: In this article, the authors describe regional methods for assessing field significance and regional consistency for trend detection in hydrological extremes, using daily discharge data arising from 195 gauging stations in France.
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An energy-budget snowmelt model for the Canadian Prairies
D. M. Gray,P. G. Landine +1 more
TL;DR: In this article, the authors proposed a method of forecasting the water quality of shallow snow covers of the Canadian Prairies. But this method is not suitable for water-management agencies.
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A refined index of model performance: a rejoinder
TL;DR: In this article, the authors argue that the coefficient of efficiency (E or E2) and its modified form (E1) are superior and preferable to many other statistics, including dr, because of intuitive interpretability and because these indices have a fundamental meaning at zero.
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Explaining spatial variability in mean annual runoff in the conterminous United States
Abstract: The hydrologic concepts needed in a water-balance model to estimate the spatial varia- tion in mean annual runoff for the 344 climate divisions in the conterminous United States (U.S.) were determined. The concepts that were evaluated were the climatic supply of water (precipitation), cli- matic demand for water (potential evapotranspiration), seasonality in supply and demand, and soil- moisture-storage capacity. Most (91%) of the spatial variability in mean annual runoff for the climate divisions in the conterminous U.S. was explained by the spatial variability of mean annual precipitation minus mean annual potential evapotranspiration. When soil-moisture-storage capacity and seasonality in supply and demand were added to the water balance, the explained variance in mean annual runoff increased slightly, and the error in estimated mean annual runoff decreased significantly. Adding soil- moisture-storage capacity and seasonality in supply and demand provided the most improvement in areas where seasonal supply and demand are out of phase.
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An open software environment for hydrological model assessment and development
TL;DR: The hydromad (Hydrological Model Assessment and Development) package provides a set of functions which work together to construct, manipulate, analyse and compare hydrological models that are dynamic, spatially-aggregated conceptual or statistical models.