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Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

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TLDR
A diagnostically interesting decomposition of NSE is presented, which facilitates analysis of the relative importance of its different components in the context of hydrological modelling, and it is shown how model calibration problems can arise due to interactions among these components.
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This article is published in Journal of Hydrology.The article was published on 2009-10-20 and is currently open access. It has received 3147 citations till now. The article focuses on the topics: Mean squared error & Nash–Sutcliffe model efficiency coefficient.

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Hydrologic and Water Quality Models: Performance Measures and Evaluation Criteria

TL;DR: In this paper, a meta-analysis of performance data reported in recent peer-reviewed literature for three widely published watershed-scale models (SWAT, HSPF, WARMF), and one field-scale model (ADAPT) is performed.
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A decade of Predictions in Ungauged Basins (PUB)—a review

TL;DR: The Prediction in Ungauged Basins (PUB) initiative of the International Association of Hydrological Sciences (IAHS) launched in 2003 and concluded by the PUB Symposium 2012 held in Delft (23-25 October 2012), set out to shift the scientific culture of hydrology towards improved scientific understanding of hydrological processes, as well as associated uncertainties and the development of models with increasing realism and predictive power as discussed by the authors.
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Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios

TL;DR: In this article, an ensemble modeling approach is applied with a monthly, conceptual hydrological model for assessing future runoff conditions in the upper Danube basin (101,810 km2).
References
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Journal ArticleDOI

River flow forecasting through conceptual models part I — A discussion of principles☆

TL;DR: 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.
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The future of distributed models: model calibration and uncertainty prediction.

TL;DR: The GLUE procedure works with multiple sets of parameter values and allows that, within the limitations of a given model structure and errors in boundary conditions and field observations, different sets of values may be equally likely as simulators of a catchment.
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Evaluating the use of “goodness-of-fit” Measures in hydrologic and hydroclimatic model validation

TL;DR: In this paper, the goodness-of-fit or relative error measures (including the coefficient of efficiency and the index of agreement) that overcome many of the limitations of correlation-based measures are discussed.
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Effective and efficient global optimization for conceptual rainfall‐runoff models

TL;DR: In this article, a shuffled complex evolution (SCE-UA) method was proposed to solve the multiple optima problem for the conceptual rainfall runoff (CRR) model SIXPAR.
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Comparison of different efficiency criteria for hydrological model assessment

TL;DR: In this paper, the utility of several efficiency criteria is investigated in three examples using a simple observed streamflow hydrograph, and the selection and use of specific efficiency criteria and interpretation of the results can be a challenge for even the most experienced hydrologist since each criterion may place different emphasis on different types of simulated and observed behaviours.
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