Spatial scale effect on the upper soil effective parameters of a distributed hydrological model

Barrios, Miguel; Francés, Félix

doi:10.1002/hyp.8193

Cited by 29 publications

(19 citation statements)

References 50 publications

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“…In other words, the parameter at the fine scale 0 represents the minimum support at which the proposed equations are still valid. Barrios and Francés (2011) indicated that a suitable estimate of 0 for a given parameter could be near its correlation length. The subgrid variability of a parameter β 0 depends, in turn, on the spatial heterogeneity of geophysical and biophysical characteristics (u 0 ), such as terrain elevation, slope and aspect, soil texture, geological formation, and land cover, which are now available at hyper-resolution for the entire globe.…”

Section: The Mpr Approachmentioning

confidence: 99%

Toward seamless hydrologic predictions across spatial scales

Samaniego

Kumar

Thober

et al. 2017

Hydrol. Earth Syst. Sci.

111

134

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Abstract. Land surface and hydrologic models (LSMs/HMs) are used at diverse spatial resolutions ranging from catchment-scale (1-10 km) to global-scale (over 50 km) applications. Applying the same model structure at different spatial scales requires that the model estimates similar fluxes independent of the chosen resolution, i.e., fulfills a fluxmatching condition across scales. An analysis of state-of-theart LSMs and HMs reveals that most do not have consistent hydrologic parameter fields. Multiple experiments with the mHM, Noah-MP, PCR-GLOBWB, and WaterGAP models demonstrate the pitfalls of deficient parameterization practices currently used in most operational models, which are insufficient to satisfy the flux-matching condition. These examples demonstrate that J. Dooge's 1982 statement on the unsolved problem of parameterization in these models remains true. Based on a review of existing parameter regionalization techniques, we postulate that the multiscale parameter regionalization (MPR) technique offers a practical and robust method that provides consistent (seamless) parameter and flux fields across scales. Herein, we develop a general model protocol to describe how MPR can be applied to a particular model and present an example application using the PCR-GLOBWB model. Finally, we discuss potential advantages and limitations of MPR in obtaining the seamless prediction of hydrological fluxes and states across spatial scales.

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Section: The Mpr Approachmentioning

confidence: 99%

Toward seamless hydrologic predictions across spatial scales

Samaniego

Kumar

Thober

et al. 2017

Hydrol. Earth Syst. Sci.

111

134

View full text Add to dashboard Cite

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“…The variation of rainfall in the basin directly affects the behavior of specific flow discharge. Therefore, the inclusion of rainfall as an explanatory variable of streamflow may be a significant improvement in the regionalization model (DINPASHOH et al, 2004). The climate variable used in regionalization is the average annual rainfall.…”

Section: Streamflow Regionalizationmentioning

confidence: 99%

“…Regression equations are used to estimate streamflows based on the most relevant traits associated with the drainage area (MALEKINEZHAD et al, 2011), but because the gauge stations are located in sections with large drainage areas, the streamflow estimation for small areas is not recommended because of the extrapolation of regression equations. Nonlinear dynamics and spatial variability in hydrological systems make the formulation of scaling theories difficult; therefore, the development of knowledge related to scale effects, scaling techniques, parameterization and linkages of parameters across scales is highly relevant (BARRIOS & FRANCÉS, 2012).…”

Section: Introductionmentioning

confidence: 99%

Extrapolation of regionalization equations for long-term average flow

et al. 2016

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Knowledge about long-term average flow is essential for planning and managing water resources because it represents the potential water availability. One technique used to determine streamflow is regionalization, but because most gauge stations normally are associated with large drainage areas, the extrapolation of regionalization equations does not accurately represent the water availability; therefore, this method is not recommended. The main objective of the present paper is to propose a new method of estimating water availability that minimizes the risks of extrapolating regionalization equations for long-term average flow. The method is based on the use of a threshold value of the runoff coefficient to obtain the long-term average flow at the positions of the basin where the runoff coefficient estimated by the regionalization equation exceeds the threshold value. It was found that values of the runoff coefficient estimated average flows greater than twice those of the threshold values. The use of this method allows a reliable estimation for long-term average flows in regions of extrapolation without compromising the security of the available water supply.KEY WORDS: water availability, planning and management of water resources, water safety.

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“…Nonlinear dynamics and spatial variability in hydrological systems make the formulation of scaling theories difficult; therefore, the development of knowledge related to scale effects, scaling techniques, parameterization and linkages of parameters across scales, is highly relevant (BARRIOS & FRANCÉS, 2012). NAGHETTINI & PINTO (2007) note that extrapolating regression equations beyond the limits of sample data used to estimate the parameters of the linear regression model is not usually recommended and has been discouraged for two main reasons.…”

Section: Introductionmentioning

confidence: 99%

Low-flow estimates in regions of extrapolation of the regionalization equations: a new concept

Pruski¹,

Rodríguez²,

Nunes³

et al. 2015

Eng. Agríc.

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Knowledge of natural water availability, which is characterized by low flows, is essential for planning and management of water resources. One of the most widely used hydrological techniques to determine streamflow is regionalization, but the extrapolation of regionalization equations beyond the limits of sample data is not recommended. This paper proposes a new method for reducing overestimation errors associated with the extrapolation of regionalization equations for low flows. The method is based on the use of a threshold value for the maximum specific low flow discharge estimated at the gauging sites that are used in the regionalization. When a specific low flow, which has been estimated using the regionalization equation, exceeds the threshold value, the low flow can be obtained by multiplying the drainage area by the threshold value. This restriction imposes a physical limit to the low flow, which reduces the error of overestimating flows in regions of extrapolation. A case study was done in the Urucuia river basin, in Brazil, and the results showed the regionalization equation to perform positively in reducing the risk of extrapolation.KEYWORDS: water availability, planning and management of water resources, water safety ESTIMATIVA DE VAZÕES MÍNIMAS EM REGIÕES DE EXTRAPOLAÇÃO DAS EQUAÇÕES DE REGIONALIZAÇÃO: UM NOVO CONCEITORESUMO: O conhecimento da disponibilidade hídrica natural, caracterizada pelas vazões mínimas, é essencial para o planejamento e a gestão dos recursos hídricos. Uma das técnicas hidrológicas mais utilizadas para estimar a vazão é a regionalização, mas a extrapolação das equações de regionalização para além dos limites dos dados usados para estimar os parâmetros do modelo de regressão não é recomendada. Este trabalho propõe um novo método para minimizar o risco associado à extrapolação das equações de regionalização de vazões mínimas. O método baseia-se na utilização de um valor de limiar, que é a máxima vazão mínima específica estimada nas estações fluviométricas utilizadas no estudo de regionalização. Quando a vazão mínima específica estimada a partir da equação de regionalização excede o valor limiar, a vazão mínima é obtida multiplicando-se a área de drenagem pelo valor limiar. Esta restrição impõe um limite físico para as vazões mínimas, o que reduz o risco de superestimar as vazões nas regiões de extrapolação. Um estudo de caso foi realizado para a bacia Urucuia, no Brasil, e os resultados obtidos mostraram um bom desempenho da equação de regionalização, o que reduz o risco de extrapolação. PALAVRAS-CHAVE:disponibilidade hídrica, planejamento e gestão de recursos hídricos, segurança hídrica.

show abstract

Spatial scale effect on the upper soil effective parameters of a distributed hydrological model

Cited by 29 publications

References 50 publications

Toward seamless hydrologic predictions across spatial scales

Toward seamless hydrologic predictions across spatial scales

Extrapolation of regionalization equations for long-term average flow

Low-flow estimates in regions of extrapolation of the regionalization equations: a new concept

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