Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.5194/hess-18-4861-2014
Titel (primär) A constraint-based search algorithm for parameter identification of environmental models
Autor Gharari, S.; Shafiei, M.; Hrachowitz, M.; Kumar, R. ORCID logo ; Fenicia, F.; Gupta, H.V.; Savenije, H.H.G.
Quelle Hydrology and Earth System Sciences
Erscheinungsjahr 2014
Department CHS
Band/Volume 18
Heft 12
Seite von 4861
Seite bis 4870
Sprache englisch
UFZ Querschnittsthemen 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.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=15568
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 10.5194/hess-18-4861-2014