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Regional water balance modelling using flow-duration curves with observational uncertainties

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Regional water balance modelling using flow-duration curves with observational uncertainties. / Westerberg, I. K.; Gong, L.; Beven, K. J. et al.
In: Hydrology and Earth System Sciences, Vol. 18, No. 8, 14.08.2014, p. 2993-3013.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Westerberg, IK, Gong, L, Beven, KJ, Seibert, J, Semedo, A, Xu, CY & Halldin, S 2014, 'Regional water balance modelling using flow-duration curves with observational uncertainties', Hydrology and Earth System Sciences, vol. 18, no. 8, pp. 2993-3013. https://doi.org/10.5194/hess-18-2993-2014

APA

Westerberg, I. K., Gong, L., Beven, K. J., Seibert, J., Semedo, A., Xu, C. Y., & Halldin, S. (2014). Regional water balance modelling using flow-duration curves with observational uncertainties. Hydrology and Earth System Sciences, 18(8), 2993-3013. https://doi.org/10.5194/hess-18-2993-2014

Vancouver

Westerberg IK, Gong L, Beven KJ, Seibert J, Semedo A, Xu CY et al. Regional water balance modelling using flow-duration curves with observational uncertainties. Hydrology and Earth System Sciences. 2014 Aug 14;18(8):2993-3013. doi: 10.5194/hess-18-2993-2014

Author

Westerberg, I. K. ; Gong, L. ; Beven, K. J. et al. / Regional water balance modelling using flow-duration curves with observational uncertainties. In: Hydrology and Earth System Sciences. 2014 ; Vol. 18, No. 8. pp. 2993-3013.

Bibtex

@article{c44895b18b73418c8182f9c13f7ca425,
title = "Regional water balance modelling using flow-duration curves with observational uncertainties",
abstract = "Robust and reliable water-resource mapping in ungauged basins requires estimation of the uncertainties in the hydrologic model, the regionalisation method, and the observational data. In this study we investigated the use of regionalised flow-duration curves (FDCs) for constraining model predictive uncertainty, while accounting for all these uncertainty sources. A water balance model was applied to 36 basins in Central America using regionally and globally available precipitation, climate and discharge data that were screened for inconsistencies. A rating-curve analysis for 35 Honduran discharge stations was used to estimate discharge uncertainty for the region, and the consistency of the model forcing and evaluation data was analysed using two different screening methods. FDCs with uncertainty bounds were calculated for each basin, accounting for both discharge uncertainty and, in many cases, uncertainty stemming from the use of short time series, potentially not representative for the modelling period. These uncertain FDCs were then used to regionalise a FDC for each basin, treating it as ungauged in a cross-evaluation, and this regionalised FDC was used to constrain the uncertainty in the model predictions for the basin. There was a clear relationship between the performance of the local model calibration and the degree of data set consistency - with many basins with inconsistent data lacking behavioural simulations (i.e. simulations within predefined limits around the observed FDC) and the basins with the highest data set consistency also having the highest simulation reliability. For the basins where the regionalisation of the FDCs worked best, the uncertainty bounds for the regionalised simulations were only slightly wider than those for a local model calibration. The predicted uncertainty was greater for basins where the result of the FDC regionalisation was more uncertain, but the regionalised simulations still had a high reliability compared to the locally calibrated simulations and often encompassed them. The regionalised FDCs were found to be useful on their own as a basic signature constraint; however, additional regionalised signatures could further constrain the uncertainty in the predictions and may increase the robustness to severe data inconsistencies, which are difficult to detect for ungauged basins.",
author = "Westerberg, {I. K.} and L. Gong and Beven, {K. J.} and J. Seibert and A. Semedo and Xu, {C. Y.} and S. Halldin",
year = "2014",
month = aug,
day = "14",
doi = "10.5194/hess-18-2993-2014",
language = "English",
volume = "18",
pages = "2993--3013",
journal = "Hydrology and Earth System Sciences",
issn = "1027-5606",
publisher = "Copernicus Gesellschaft mbH",
number = "8",

}

RIS

TY - JOUR

T1 - Regional water balance modelling using flow-duration curves with observational uncertainties

AU - Westerberg, I. K.

AU - Gong, L.

AU - Beven, K. J.

AU - Seibert, J.

AU - Semedo, A.

AU - Xu, C. Y.

AU - Halldin, S.

PY - 2014/8/14

Y1 - 2014/8/14

N2 - Robust and reliable water-resource mapping in ungauged basins requires estimation of the uncertainties in the hydrologic model, the regionalisation method, and the observational data. In this study we investigated the use of regionalised flow-duration curves (FDCs) for constraining model predictive uncertainty, while accounting for all these uncertainty sources. A water balance model was applied to 36 basins in Central America using regionally and globally available precipitation, climate and discharge data that were screened for inconsistencies. A rating-curve analysis for 35 Honduran discharge stations was used to estimate discharge uncertainty for the region, and the consistency of the model forcing and evaluation data was analysed using two different screening methods. FDCs with uncertainty bounds were calculated for each basin, accounting for both discharge uncertainty and, in many cases, uncertainty stemming from the use of short time series, potentially not representative for the modelling period. These uncertain FDCs were then used to regionalise a FDC for each basin, treating it as ungauged in a cross-evaluation, and this regionalised FDC was used to constrain the uncertainty in the model predictions for the basin. There was a clear relationship between the performance of the local model calibration and the degree of data set consistency - with many basins with inconsistent data lacking behavioural simulations (i.e. simulations within predefined limits around the observed FDC) and the basins with the highest data set consistency also having the highest simulation reliability. For the basins where the regionalisation of the FDCs worked best, the uncertainty bounds for the regionalised simulations were only slightly wider than those for a local model calibration. The predicted uncertainty was greater for basins where the result of the FDC regionalisation was more uncertain, but the regionalised simulations still had a high reliability compared to the locally calibrated simulations and often encompassed them. The regionalised FDCs were found to be useful on their own as a basic signature constraint; however, additional regionalised signatures could further constrain the uncertainty in the predictions and may increase the robustness to severe data inconsistencies, which are difficult to detect for ungauged basins.

AB - Robust and reliable water-resource mapping in ungauged basins requires estimation of the uncertainties in the hydrologic model, the regionalisation method, and the observational data. In this study we investigated the use of regionalised flow-duration curves (FDCs) for constraining model predictive uncertainty, while accounting for all these uncertainty sources. A water balance model was applied to 36 basins in Central America using regionally and globally available precipitation, climate and discharge data that were screened for inconsistencies. A rating-curve analysis for 35 Honduran discharge stations was used to estimate discharge uncertainty for the region, and the consistency of the model forcing and evaluation data was analysed using two different screening methods. FDCs with uncertainty bounds were calculated for each basin, accounting for both discharge uncertainty and, in many cases, uncertainty stemming from the use of short time series, potentially not representative for the modelling period. These uncertain FDCs were then used to regionalise a FDC for each basin, treating it as ungauged in a cross-evaluation, and this regionalised FDC was used to constrain the uncertainty in the model predictions for the basin. There was a clear relationship between the performance of the local model calibration and the degree of data set consistency - with many basins with inconsistent data lacking behavioural simulations (i.e. simulations within predefined limits around the observed FDC) and the basins with the highest data set consistency also having the highest simulation reliability. For the basins where the regionalisation of the FDCs worked best, the uncertainty bounds for the regionalised simulations were only slightly wider than those for a local model calibration. The predicted uncertainty was greater for basins where the result of the FDC regionalisation was more uncertain, but the regionalised simulations still had a high reliability compared to the locally calibrated simulations and often encompassed them. The regionalised FDCs were found to be useful on their own as a basic signature constraint; however, additional regionalised signatures could further constrain the uncertainty in the predictions and may increase the robustness to severe data inconsistencies, which are difficult to detect for ungauged basins.

U2 - 10.5194/hess-18-2993-2014

DO - 10.5194/hess-18-2993-2014

M3 - Journal article

AN - SCOPUS:84925358929

VL - 18

SP - 2993

EP - 3013

JO - Hydrology and Earth System Sciences

JF - Hydrology and Earth System Sciences

SN - 1027-5606

IS - 8

ER -