Model-data fusion: Using observations to understand and reduce uncertainty in hydrological models
Without corroborating observations, hydrological models should not be trusted. Hydrometric observations are the basis for any statistical or empirical hydrological model, and are widely used for 'calibration' - tweaking model parameter values to reduce the disagreement between model and observations. However there are other, less travelled paths to understand, quantify, and reduce hydrological model uncertainty using observations. A wealth of new observation types has become available from in...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of MODSIM 2011 International Congress on Modelling and Simulation|
|Access Rights:||Open Access|
|01_Van Dijk_Model-data_fusion:_Using_2011.pdf||423.49 kB||Adobe PDF|
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