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On runoff generation and the distribution of storage deficits

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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On runoff generation and the distribution of storage deficits. / Wood, Andrew; Beven, K. J.
In: Hydrology Research, Vol. 44, No. 4, 2013, p. 673-689.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Wood, A & Beven, KJ 2013, 'On runoff generation and the distribution of storage deficits', Hydrology Research, vol. 44, no. 4, pp. 673-689. https://doi.org/10.2166/nh.2013.119

APA

Wood, A., & Beven, K. J. (2013). On runoff generation and the distribution of storage deficits. Hydrology Research, 44(4), 673-689. https://doi.org/10.2166/nh.2013.119

Vancouver

Wood A, Beven KJ. On runoff generation and the distribution of storage deficits. Hydrology Research. 2013;44(4):673-689. doi: 10.2166/nh.2013.119

Author

Wood, Andrew ; Beven, K. J. / On runoff generation and the distribution of storage deficits. In: Hydrology Research. 2013 ; Vol. 44, No. 4. pp. 673-689.

Bibtex

@article{11a0905dbd5c43f58d406c77009dc324,
title = "On runoff generation and the distribution of storage deficits",
abstract = "A number of hydrological models use a distribution function to develop the non-linear rainfall-runoff catchment response. In this study the beta function is applied to represent a distribution of soil moisture storages in conjunction with a fast and slow pathway routing. The BETA3 and BETA4 modules, presented in this paper, have a distribution of discrete storage elements that have variable and redistributed water levels at each timestep. The PDM-BETA5 is an analytical solution with a similar structure to the commonly used probability distribution model (PDM). Model testing was performed on three catchments in the Northern Pennine region in England. The performances of the BETA models were compared with a commonly used formulation of the PDM. The BETA models performed marginally better than the PDM in calibration and parameter estimation was better with the BETA models than for the PDM. The BETA models had a small advantage in validation on the hydrologically fast responding test catchments.",
keywords = "beta function, PDM, parameter estimation, uncertainty, UNIT-HYDROGRAPH, MODEL, CALIBRATION, EQUIFINALITY, FUTURE, GLUE",
author = "Andrew Wood and Beven, {K. J.}",
year = "2013",
doi = "10.2166/nh.2013.119",
language = "English",
volume = "44",
pages = "673--689",
journal = "Hydrology Research",
issn = "0029-1277",
publisher = "Nordic Association for Hydrology",
number = "4",

}

RIS

TY - JOUR

T1 - On runoff generation and the distribution of storage deficits

AU - Wood, Andrew

AU - Beven, K. J.

PY - 2013

Y1 - 2013

N2 - A number of hydrological models use a distribution function to develop the non-linear rainfall-runoff catchment response. In this study the beta function is applied to represent a distribution of soil moisture storages in conjunction with a fast and slow pathway routing. The BETA3 and BETA4 modules, presented in this paper, have a distribution of discrete storage elements that have variable and redistributed water levels at each timestep. The PDM-BETA5 is an analytical solution with a similar structure to the commonly used probability distribution model (PDM). Model testing was performed on three catchments in the Northern Pennine region in England. The performances of the BETA models were compared with a commonly used formulation of the PDM. The BETA models performed marginally better than the PDM in calibration and parameter estimation was better with the BETA models than for the PDM. The BETA models had a small advantage in validation on the hydrologically fast responding test catchments.

AB - A number of hydrological models use a distribution function to develop the non-linear rainfall-runoff catchment response. In this study the beta function is applied to represent a distribution of soil moisture storages in conjunction with a fast and slow pathway routing. The BETA3 and BETA4 modules, presented in this paper, have a distribution of discrete storage elements that have variable and redistributed water levels at each timestep. The PDM-BETA5 is an analytical solution with a similar structure to the commonly used probability distribution model (PDM). Model testing was performed on three catchments in the Northern Pennine region in England. The performances of the BETA models were compared with a commonly used formulation of the PDM. The BETA models performed marginally better than the PDM in calibration and parameter estimation was better with the BETA models than for the PDM. The BETA models had a small advantage in validation on the hydrologically fast responding test catchments.

KW - beta function

KW - PDM

KW - parameter estimation

KW - uncertainty

KW - UNIT-HYDROGRAPH

KW - MODEL

KW - CALIBRATION

KW - EQUIFINALITY

KW - FUTURE

KW - GLUE

U2 - 10.2166/nh.2013.119

DO - 10.2166/nh.2013.119

M3 - Journal article

VL - 44

SP - 673

EP - 689

JO - Hydrology Research

JF - Hydrology Research

SN - 0029-1277

IS - 4

ER -