scholarly journals Physically-based modelling, uncertainty, and pragmatism – Comment on: ‘Système Hydrologique Europeén (SHE): review and perspectives after 30 years development in distributed physically-based hydrological modelling’ by Jens Christian Refsgaard, Børge Storm and Thomas Clausen

2012 ◽  
Vol 43 (6) ◽  
pp. 945-947 ◽  
Author(s):  
John Ewen ◽  
Enda O'Connell ◽  
James Bathurst ◽  
Steve J. Birkinshaw ◽  
Chris Kilsby ◽  
...  
Keyword(s):  
Hydrological Modelling ◽  
Modelling Uncertainty ◽  
Distributed Modelling ◽  
Physically Based ◽  
Physically Based Modelling ◽  
Modelling System

The Système Hydrologique Europeén (SHE) modelling system and physically-based distributed modelling (PBDM) were discussed in Refsgaard et al.'s Système Hydrologique Europeén (SHE): review and perspectives after 30 years development in distributed physically-based hydrological modelling (Hydrology Research41, pp. 355–377). The opportunity is taken here to correct some oversights and potentially misleading perspectives in that paper and mount a more robust defence of PBDM.

scholarly journals 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

2000 ◽  
Vol 4 (4) ◽  
pp. 617-626 ◽  
Author(s):  
D. Mellor ◽  
J. Sheffield ◽  
P. E. O’Connell ◽  
A. V. Metcalfe
Keyword(s):  
Real Time ◽  
Rainfall Runoff ◽  
Rainfall Forecasting ◽  
Ensemble Forecasts ◽  
Flood Warning ◽  
Distributed Modelling ◽  
Time Flow ◽  
Physically Based ◽  
The Impact ◽  
Modelling System

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. Keywords: SHETRAN, ARNO, HYREX, rainfall-runoff model, Brue, real-time flow forecasting

Système Hydrologique Europeén (SHE): review and perspectives after 30 years development in distributed physically-based hydrological modelling

2010 ◽  
Vol 41 (5) ◽  
pp. 355-377 ◽  
Author(s):  
Jens Christian Refsgaard ◽  
Børge Storm ◽  
Thomas Clausen
Keyword(s):  
Scientific Progress ◽  
Development Stage ◽  
Internal Variables ◽  
Future Perspectives ◽  
Development History ◽  
Distributed Modelling ◽  
Physically Based ◽  
Hydrological System ◽  
History Of ◽  
The Right

The European Hydrological System (or Système Hydrologique Europeén, SHE) was initiated as a collaborative venture in 1976 between the Danish Hydraulic Institute (Denmark), Institute of Hydrology (UK) and SOGREAH (France). The present paper reviews the development history of the SHE and discusses the practical and scientific difficulties encountered during the different stages of the development. Comparison is made with eight other well-known model codes with respect to development stage and code dissemination among researchers and practitioners. Finally, the scientific developments and disputes on physically-based distributed modelling are discussed and the future perspectives outlined. The SHE venture has resulted in significant contributions to hydrological science, both in terms of model codes and new scientific insight. The fundamental scientific problems related to the inability to incorporate local scale spatial heterogeneity, scaling and uncertainty that were formulated are fundamentally still unresolved. Thus, in spite of the original visions, the hydrological community has not yet witnessed a model that in a universal sense (i.e. at all scales and for all internal variables) simulates accurate results for the right reasons. Instead, much of the scientific progress achieved during the recent years has dealt with how to live with these recognized problems.

Sign in / Sign up

Export Citation Format

Share Document