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Implications of model uncertainty for the mapping of hillslope-scale soil erosion predictions.

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

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Implications of model uncertainty for the mapping of hillslope-scale soil erosion predictions. / Brazier, Richard E.; Beven, Keith J.; Anthony, Steven G. et al.
In: Earth Surface Processes and Landforms, Vol. 26, No. 12, 11.2001, p. 1333-1352.

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

Harvard

Brazier, RE, Beven, KJ, Anthony, SG & Rowan, JS 2001, 'Implications of model uncertainty for the mapping of hillslope-scale soil erosion predictions.', Earth Surface Processes and Landforms, vol. 26, no. 12, pp. 1333-1352. https://doi.org/10.1002/esp.266

APA

Brazier, R. E., Beven, K. J., Anthony, S. G., & Rowan, J. S. (2001). Implications of model uncertainty for the mapping of hillslope-scale soil erosion predictions. Earth Surface Processes and Landforms, 26(12), 1333-1352. https://doi.org/10.1002/esp.266

Vancouver

Brazier RE, Beven KJ, Anthony SG, Rowan JS. Implications of model uncertainty for the mapping of hillslope-scale soil erosion predictions. Earth Surface Processes and Landforms. 2001 Nov;26(12):1333-1352. doi: 10.1002/esp.266

Author

Brazier, Richard E. ; Beven, Keith J. ; Anthony, Steven G. et al. / Implications of model uncertainty for the mapping of hillslope-scale soil erosion predictions. In: Earth Surface Processes and Landforms. 2001 ; Vol. 26, No. 12. pp. 1333-1352.

Bibtex

@article{19c977487a4e4de9bb49a391bd577116,
title = "Implications of model uncertainty for the mapping of hillslope-scale soil erosion predictions.",
abstract = "An integrated modelling approach (MIRSED) which utilizes the process-based soil erosion model WEPP (Water Erosion Prediction Project) is presented for the assessment of hillslope-scale soil erosion at five sites throughout England and Wales. The methodology draws upon previous uncertainty analysis of the WEPP hillslope soil erosion model by the authors to qualify model results within an uncertainty framework. A method for incorporating model uncertainty from a range of sources is discussed as a first step towards using and learning from results produced through the GLUE (Generalized Likelihood Uncertainty Estimation) technique. Results are presented and compared to available observed data, which illustrate that levels of uncertainty are significant and must be taken into account if a meaningful understanding of output from models such as WEPP is to be achieved. Furthermore, the collection of quality, observed data is underlined for two reasons: as an essential tool in the development of soil erosion modelling and also to allow further constraint of model uncertainty.",
keywords = "soil erosion, erosion modelling, uncertainty estimation, GLUE, WEPP",
author = "Brazier, {Richard E.} and Beven, {Keith J.} and Anthony, {Steven G.} and Rowan, {John S.}",
year = "2001",
month = nov,
doi = "10.1002/esp.266",
language = "English",
volume = "26",
pages = "1333--1352",
journal = "Earth Surface Processes and Landforms",
issn = "0197-9337",
publisher = "Wiley",
number = "12",

}

RIS

TY - JOUR

T1 - Implications of model uncertainty for the mapping of hillslope-scale soil erosion predictions.

AU - Brazier, Richard E.

AU - Beven, Keith J.

AU - Anthony, Steven G.

AU - Rowan, John S.

PY - 2001/11

Y1 - 2001/11

N2 - An integrated modelling approach (MIRSED) which utilizes the process-based soil erosion model WEPP (Water Erosion Prediction Project) is presented for the assessment of hillslope-scale soil erosion at five sites throughout England and Wales. The methodology draws upon previous uncertainty analysis of the WEPP hillslope soil erosion model by the authors to qualify model results within an uncertainty framework. A method for incorporating model uncertainty from a range of sources is discussed as a first step towards using and learning from results produced through the GLUE (Generalized Likelihood Uncertainty Estimation) technique. Results are presented and compared to available observed data, which illustrate that levels of uncertainty are significant and must be taken into account if a meaningful understanding of output from models such as WEPP is to be achieved. Furthermore, the collection of quality, observed data is underlined for two reasons: as an essential tool in the development of soil erosion modelling and also to allow further constraint of model uncertainty.

AB - An integrated modelling approach (MIRSED) which utilizes the process-based soil erosion model WEPP (Water Erosion Prediction Project) is presented for the assessment of hillslope-scale soil erosion at five sites throughout England and Wales. The methodology draws upon previous uncertainty analysis of the WEPP hillslope soil erosion model by the authors to qualify model results within an uncertainty framework. A method for incorporating model uncertainty from a range of sources is discussed as a first step towards using and learning from results produced through the GLUE (Generalized Likelihood Uncertainty Estimation) technique. Results are presented and compared to available observed data, which illustrate that levels of uncertainty are significant and must be taken into account if a meaningful understanding of output from models such as WEPP is to be achieved. Furthermore, the collection of quality, observed data is underlined for two reasons: as an essential tool in the development of soil erosion modelling and also to allow further constraint of model uncertainty.

KW - soil erosion

KW - erosion modelling

KW - uncertainty estimation

KW - GLUE

KW - WEPP

U2 - 10.1002/esp.266

DO - 10.1002/esp.266

M3 - Journal article

VL - 26

SP - 1333

EP - 1352

JO - Earth Surface Processes and Landforms

JF - Earth Surface Processes and Landforms

SN - 0197-9337

IS - 12

ER -