Publication Details

Category Text Publication
Reference Category Journals
DOI 10.5194/hess-18-4861-2014
Title (Primary) A constraint-based search algorithm for parameter identification of environmental models
Author Gharari, S.; Shafiei, M.; Hrachowitz, M.; Kumar, R.; Fenicia, F.; Gupta, H.V.; Savenije, H.H.G.
Journal Hydrology and Earth System Sciences
Year 2014
Department CHS
Volume 18
Issue 12
Page From 4861
Page To 4870
Language englisch
UFZ wide themes RU5;
Abstract Many environmental systems models, such as conceptual rainfall-runoff models, rely on model calibration for parameter identification. For this, an observed output time series (such as runoff) is needed, but frequently not available (e.g., when making predictions in ungauged basins). In this study, we provide an alternative approach for parameter identification using constraints based on two types of restrictions derived from prior (or expert) knowledge. The first, called parameter constraints, restricts the solution space based on realistic relationships that must hold between the different model parameters while the second, called process constraints requires that additional realism relationships between the fluxes and state variables must be satisfied. Specifically, we propose a search algorithm for finding parameter sets that simultaneously satisfy such constraints, based on stepwise sampling of the parameter space. Such parameter sets have the desirable property of being consistent with the modeler's intuition of how the catchment functions, and can (if necessary) serve as prior information for further investigations by reducing the prior uncertainties associated with both calibration and prediction.
Persistent UFZ Identifier
Gharari, S., Shafiei, M., Hrachowitz, M., Kumar, R., Fenicia, F., Gupta, H.V., Savenije, H.H.G. (2014):
A constraint-based search algorithm for parameter identification of environmental models
Hydrol. Earth Syst. Sci. 18 (12), 4861 - 4870