Understanding hydrological flow paths in conceptual catchment models using uncertainty and sensitivity analysis
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TLDR
Assessment of internal flow path partitioning in conceptual hydrological models demonstrates that simulated groundwater contribution should be constrained by independent data to ensure results within realistic bounds if such models are to be used in the broader environmental sustainability decision making context.About:
This article is published in Computers & Geosciences.The article was published on 2016-05-01 and is currently open access. It has received 47 citations till now. The article focuses on the topics: Groundwater flow & Hydrological modelling.read more
Citations
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Journal ArticleDOI
Using multi-tracer inference to move beyond single-catchment ecohydrology
Benjamin W. Abbott,Viktor Baranov,Clara Mendoza-Lera,Myrto Nikolakopoulou,Astrid Harjung,Tamara Kolbe,Mukundh N. Balasubramanian,Timothy N. Vaessen,Francesco Ciocca,Audrey Campeau,Marcus B. Wallin,Paul Romeijn,Marta Antonelli,José Leonardo de Moraes Gonçalves,Thibault Datry,Anniet M. Laverman,Jean-Raynald de Dreuzy,David M. Hannah,Stefan Krause,Carolyn Oldham,Gilles Pinay +20 more
TL;DR: In this article, the authors synthesize the history of hydrological and biogeochemical theory, summarize modern tracer methods, and discuss how improved understanding of flowpath, residence time, and bio-geochemical transformation can help ecohydrology move beyond description of site-specific heterogeneity.
Journal ArticleDOI
Assessing the relative importance of parameter and forcing uncertainty and their interactions in conceptual hydrological model simulations
TL;DR: In this article, an analysis of variance model was used to decompose the total uncertainty in streamflow simulations into contributions from forcing data, identification of model parameters and interactions between the two.
Journal ArticleDOI
Using a Scenario-Neutral Framework to Avoid Potential Maladaptation to Future Flood Risk.
Ciaran Broderick,Conor Murphy,Robert L. Wilby,Tom Matthews,Christel Prudhomme,Christel Prudhomme,Mark Adamson +6 more
TL;DR: Catchments with relatively less storage are sensitive to seasonal amplification in the annual cycle of precipitation and warrant special attention.
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Calibration of hydrological models for ecologically relevant streamflow predictions: a trade-off between fitting well to data and estimating consistent parameter sets?
TL;DR: In this paper, the authors investigated the performance of specially developed and tailored criteria formed from combinations of those specific streamflow characteristics (SFCs) found to be ecologically relevant in previous ecohydrological studies.
Journal ArticleDOI
Hydrological post-processing of streamflow forecasts issued from multimodel ensemble prediction systems
TL;DR: This paper studies the use of Bayesian model averaging (BMA) to post-process multimodel hydrological forecasts and shows that the BMA scheme is capable to improve the accuracy and reliability of the hydrology forecasts in that case as well.
References
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Journal ArticleDOI
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.
Book
Global Sensitivity Analysis: The Primer
TL;DR: In this article, the authors present a method for setting up Uncertainty and Sensitivity Analyses using Monte Carlo and Linear Regression (MCF) models and a set of experiments.
Journal ArticleDOI
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.
Journal ArticleDOI
Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
TL;DR: In this article, global sensitivity indices for rather complex mathematical models can be efficiently computed by Monte Carlo (or quasi-Monte Carlo) methods, which are used for estimating the influence of individual variables or groups of variables on the model output.
Journal Article
Factorial sampling plans for preliminary computational experiments
TL;DR: The proposed experimental plans are composed of individually randomized one-factor-at-a-time designs, and data analysis is based on the resulting random sample of observed elementary effects, those changes in an output due solely to changes in a particular input.
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River flow forecasting through conceptual models part I — A discussion of principles☆
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