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
Global Evaluation of the Noah‐MP Land Surface Model and Suggestions for Selecting Parameterization Schemes
Jianduo Li,Chiyuan Miao,Guo Zhang,Yuanhao Fang,Wei Shangguan,Guo Yue Niu +5 more
- 03 Feb 2022
TL;DR: In this article , the authors examined the overall performance of the Noah with multiparameterization (Noah•MP) land surface model in simulating key land-atmosphere variables at a global scale and explored the feasibility of running Noah•MP with regionally different combinations of parameterization schemes.
24
Estimating catchment-scale groundwater dynamics from recession analysis – enhanced constraining of hydrological models
Thomas Skaugen,Zelalem Mengistu +1 more
TL;DR: In this paper, a new formulation of subsurface water storage dynamics for use in rainfall-runoff models is proposed, where the temporal distribution of catchment-scale storage is considered to have the same shape as the distribution of observed recessions.
Streamflow Prediction in Highly Regulated, Transboundary Watersheds Using Multi‐Basin Modeling and Remote Sensing Imagery
TL;DR: In this paper , the authors investigated the extent to which reservoir releases can be inferred across different spatial and temporal scales through evaluating 21 reservoirs in the highly regulated Greater Mekong region and found that remote sensing imagery was useful in estimating daily storage volumes for within-year and over-year reservoirs (correlation coefficients [CC] ≥ 0.9, normalized root mean squared error [NRMSE] ≤ 31%), but not for run-of-river reservoirs (CC < 0.4, 40% ≤ NRMSE ≤ 270%).
24
Potential in improving monthly streamflow forecasting through variational assimilation of observed streamflow
TL;DR: In this article, the authors proposed a variational data assimilation (VAR DA) method for correcting the initial conditions of variable infiltration capacity (VIC) Land Surface Model (LSM) by assimilating gauge-observed streamflow.
24
Impact of mesoscale spatial variability of climatic inputs and parameters on the hydrological response
Laura Rouhier,Laura Rouhier,Matthieu Le Lay,Federico Garavaglia,Nicolas Le Moine,Frédéric Hendrickx,Céline Monteil,Pierre Ribstein +7 more
TL;DR: In this article, the authors investigated the impact of two spatial variabilities: climatic forcing and physiographic characteristics on streamflow modelling in a large catchment. But their analysis was conducted according to a spatial split-sample test.
24
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