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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A comparative analysis of projected impacts of climate change on river runoff from global and catchment-scale hydrological models
TL;DR: In this paper, a comparative analysis of projected impacts of climate change on river runoff from two types of distributed hydrological models, a global hydrologogical model (GHM) and a catchment-scale hydroglobal model (CHM), is presented.
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Hydrological modelling of the Chaohe Basin in China: Statistical model formulation and Bayesian inference
TL;DR: In this paper, the authors developed a procedure to overcome the problem of non-identifiability of distributed parameters by introducing aggregate parameters and using Bayesian inference, and they demonstrated the good performance of this approach to uncertainty analysis, particularly with respect to the fulfilment of statistical assumptions of the error model.
Reference EntryDOI
Model Calibration and Uncertainty Estimation
TL;DR: In this paper, the authors present an overview of the current state of the art in model calibration for rainfall-runoff models, including manual and automatic approaches. But, the authors do not consider the effects of uncertainty in the modeling process, and some potential directions.
Journal ArticleDOI
The european flood alert system EFAS - Part 2: statistical skill assessment of probabilistic and deterministic operational forecasts.
TL;DR: Two years of existing operational EFAS forecasts are statistically assessed and the skill ofEFAS forecasts is analysed with several skill scores, which shows the benefit of incorporating past forecasts in the probability analysis, for medium-range forecasts, which effectively increases theskill of the forecasts.
Journal ArticleDOI
Application of a watershed model to evaluate management effects on point and nonpoint source pollution
TL;DR: In this paper, the Soil and Water Assessment Tool (SWAT) was applied to quantify the effects of Best Management Practices (BMPs) related to dairy manure management and municipal wastewater treatment plant effluent.