• W2: Prediction in Ungauged Basins, uncertainty, rainfall-runoff models

    Page: Main.W2 - Last Modified : Sat, 28 Jun 08

    Organisers

    Barry Croke, The Australian National University, Australia (contact: barry.croke@anu.edu.au)
    Thorsten Wagener, Pennsylvania State University, USA
    David Post, CSIRO Land and Water, Australia
    Jim Freer, Lancaster University, UK
    Ian Littlewood, Centre for Ecology and Hydrology (CEH), UK

    Topics

    • Prediction in Ungauged Basins
    • Uncertainty
    • Rainfall-runoff models

    Description

    The inclusion of additional information in a model should improve it's performance and reduce associated uncertainties. The additional information may take the form of higher temporal and/or spatial resolution of data already used, or additional (potentially soft) data. However, additional data is not necessarily equivalent with additional information, or with information that can be used by a particular model. Consideration of the information-to-noise ratio is needed in order to evaluate whether the information will indeed improve the model's ability to simulate the system. Evaluating the information-to-noise ratio and the information content of data in general are difficult, but one possible approach is to compare the performance and uncertainty of a model with and without the additional information. This session/workshop will focus on the use of additional information in improving the performance of and reducing the uncertainty in hydrological models. This includes consideration of the uncertainty in datasets as well as techniques to evaluate the effectiveness of the additional information in improving models.

    Workshop 2: Discussion space


    Schedule

    Tuesday 8
    Time Title Authors Place
    11:40 - 11:50 'Evaluating the information content of data for uncertainty reduction in hydrological modelling' B. Croke, T. Wagener, D. Post, J. Freer and I. Littlewood A5101
    11:50 - 12:00 'Effect of Rainfall Data Quality on Rainfall-Runoff Model Calibration and Regionalisation' D. A. Post, J. Vaze, F. H. S. Chiew, J.-M. Perraud, J. Teng and N. R. Viney A5101
    12:00 - 12:10 'Prediction of Streamflow and the Effect of Input Parameters in Small Urban Catchments' H. J. Kim, S. J. Noh, C. H. Jang and Y. J. Lee A5101
    12:10 - 12:20 'Ensemble modelling of runoff across southeast Australia and quantification of uncertainty' F.H.S. Chiew, N. R. Viney, J. Vaze, D.A. Post, J.-M. Perraud and J. Teng A5101
    12:20 - 12:30 'Lessons Learned from Experiments in Auto-Calibration of Large Scale Environmental and Hydrological Models' D.A. Swayne, M. Sloboda, S. Hood, V. Sharma, W. Booty and D. Lam A5101
    12:30 - 12:40 'Quantifying input and model errors in conceptual rainfall-runoff models using Bayesian total error analysis' D. Kavetski, B. Renard, G. Kuczera, M. Thyer and S. Franks A5101
    12:40 - 12:50 'New hybrid method to simulate discharges on ungaged catchments by combination of hydrological and hydraulic models' J. Lerat, V. Andréassian and C. Perrin A5101
    12:50 - 13:00 'Uncertainty and evolution of rating curves: a key issue for the reliability of rainfall-runoff models?' T. Mathevet, L. Oudin, V. Andreassian, C. Perrin A5101
    15:00 - 16:20 'Discussion' A5101