Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
5.2K
TL;DR: 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.
read more
About: This article is published in Journal of Hydrology. The article was published on 20 Oct 2009. and is currently open access. The article focuses on the topics: Mean squared error & Nash–Sutcliffe model efficiency coefficient.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Bayesian calibration and sensitivity analysis for a karst aquifer model using active subspaces
TL;DR: In this article, an active subspace method is used to find directions in the parameter space that dominate the Bayesian update from the prior to the posterior distribution in order to effectively reduce the dimension of the problem and for computational efficiency.
Multimodel assessment of flood characteristics in four large river basins at global warming of 1.5, 2.0 and 3.0 K above the pre-industrial level
Shaochun Huang,Shaochun Huang,Rohini Kumar,Oldrich Rakovec,Oldrich Rakovec,Valentin Aich,Valentin Aich,Xiaoyan Wang,Luis Samaniego,Stefan Liersch,Valentina Krysanova +10 more
TL;DR: In this paper, the authors assessed the flood characteristics in the pre-industrial and historical periods, and analyzed climate change impacts on floods at the warming levels of 1.5, 2.0 and 3.0 K above the preindustrial level in four large river basins as required by the Paris agreement.
26
A Streamflow Bias Correction and Performance Evaluation Web Application for GEOGloWS ECMWF Streamflow Services
Jorge Luis Sanchez Lozano,Giovanni Romero Bustamante,Riley Chad Hales,E. James Nelson,Gustavious P. Williams,Daniel P. Ames,Norman Jones +6 more
TL;DR: The development and testing of a web application that processes and visualizes observed and simulated historical stream discharge data from the global GEOGloWS ECMWF streamflow services, performs seasonally adjusted bias correction, computes goodness-of-fit metrics, and performs forward bias correction on subsequent forecasts is presented.
26
Intercomparison of multiple high-resolution precipitation products over China: Climatology and extremes
Chen, Yu-Yang,Takuma Watanabe +1 more
TL;DR: Wang et al. as discussed by the authors evaluated eight high-resolution precipitation products, including APHRODITE, CHIRPS, CMFD, CMORPH, IMERG, MSWEP, PERSIANN, and TMPA, against dense rain gauges in terms of precipitation climatology and extremes over China from 2001 to 2015.
26
Large-scale assessment of Prophet for multi-step ahead forecasting of monthly streamflow
TL;DR: The aim is to compare the results derived through two different approaches in multi-step ahead forecasting of monthly streamflow using the recently introduced Prophet model, and suggest that the compared approaches are equally useful.
References
River flow forecasting through conceptual models part I — A discussion of principles☆
J.E. Nash,J.V. Sutcliffe +1 more
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.
23.3K
The future of distributed models: model calibration and uncertainty prediction.
Keith Beven,Andrew Binley +1 more
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.
4.7K
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.
4.5K
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.
3.3K