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A stochastic space-time rainfall forecasting system for real time flow forecasting II: Application of SHETRAN and ARNO rainfall runoff models to the Brue catchment: Application of SHETRAN and ARNO rainfall runoff models to the Brue catchment

A stochastic space-time rainfall forecasting system for real time flow forecasting II: Application of SHETRAN and ARNO rainfall runoff models to the Brue catchment: Application of SHETRAN and ARNO rainfall runoff models to the Brue catchment
A stochastic space-time rainfall forecasting system for real time flow forecasting II: Application of SHETRAN and ARNO rainfall runoff models to the Brue catchment: Application of SHETRAN and ARNO rainfall runoff models to the Brue catchment

Key issues involved in converting MTB ensemble forecasts of rainfall into ensemble forecasts of runoff are addressed. The physically-based distributed modelling system, SHETRAN, is parameterised for the Brue catchment, and used to assess the impact of averaging spatially variable MTB rainfall inputs on the accuracy of simulated runoff response. Averaging is found to have little impact for wet antecedent conditions and to lead to some underestimation of peak discharge under dry catchment conditions. The simpler ARNO modelling system is also parameterised for the Brue and SHETRAN and ARNO calibration and validation results are found to be similar. Ensemble forecasts of runoff generated using both SHETRAN and the simpler ARNO modelling system are compared. The ensemble is more spread out with the SHETRAN model, and a likely explanation is that the ARNO model introduces too much smoothing. Nevertheless, the forecasting performance of the simpler model could be adequate for flood warning purposes.

ARNO, Brue, HYREX, Rainfall-runoff model, Real-time flow forecasting, SHETRAN
1027-5606
617-626
Mellor, D.
473c8d31-71b8-4a7e-8202-ae33da69ca00
Sheffield, J.
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
O'Connell, P. E.
e2364595-d542-4de5-af46-866b09c16033
Metcalfe, A. V.
f3e7156d-b9a5-417d-b486-f5dfa3ee10ef
Mellor, D.
473c8d31-71b8-4a7e-8202-ae33da69ca00
Sheffield, J.
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
O'Connell, P. E.
e2364595-d542-4de5-af46-866b09c16033
Metcalfe, A. V.
f3e7156d-b9a5-417d-b486-f5dfa3ee10ef

Mellor, D., Sheffield, J., O'Connell, P. E. and Metcalfe, A. V. (2000) A stochastic space-time rainfall forecasting system for real time flow forecasting II: Application of SHETRAN and ARNO rainfall runoff models to the Brue catchment: Application of SHETRAN and ARNO rainfall runoff models to the Brue catchment. Hydrology and Earth System Sciences, 4 (4), 617-626. (doi:10.5194/hess-4-617-2000).

Record type: Article

Abstract

Key issues involved in converting MTB ensemble forecasts of rainfall into ensemble forecasts of runoff are addressed. The physically-based distributed modelling system, SHETRAN, is parameterised for the Brue catchment, and used to assess the impact of averaging spatially variable MTB rainfall inputs on the accuracy of simulated runoff response. Averaging is found to have little impact for wet antecedent conditions and to lead to some underestimation of peak discharge under dry catchment conditions. The simpler ARNO modelling system is also parameterised for the Brue and SHETRAN and ARNO calibration and validation results are found to be similar. Ensemble forecasts of runoff generated using both SHETRAN and the simpler ARNO modelling system are compared. The ensemble is more spread out with the SHETRAN model, and a likely explanation is that the ARNO model introduces too much smoothing. Nevertheless, the forecasting performance of the simpler model could be adequate for flood warning purposes.

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More information

Published date: December 2000
Keywords: ARNO, Brue, HYREX, Rainfall-runoff model, Real-time flow forecasting, SHETRAN

Identifiers

Local EPrints ID: 480408
URI: http://eprints.soton.ac.uk/id/eprint/480408
ISSN: 1027-5606
PURE UUID: b8f519ff-d297-4f37-ae61-35030639506a
ORCID for J. Sheffield: ORCID iD orcid.org/0000-0003-2400-0630

Catalogue record

Date deposited: 01 Aug 2023 21:43
Last modified: 17 Mar 2024 03:40

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Contributors

Author: D. Mellor
Author: J. Sheffield ORCID iD
Author: P. E. O'Connell
Author: A. V. Metcalfe

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