Format:
1 Online-Ressource (136 Seiten, 18710 KB)
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Diagramme, Karten
Content:
Hydrological models are important tools for the simulation and quantification of the water cycle. They therefore aid in the understanding of hydrological processes, prediction of river discharge, assessment of the impacts of land use and climate changes, or the management of water resources. However, uncertainties associated with hydrological modelling are still large. While significant research has been done on the quantification and reduction of uncertainties, there are still fields which have gained little attention so far, such as model structural uncertainties that are related to the process implementations in the models. This holds especially true for complex process-based models in contrast to simpler conceptual models. Consequently, the aim of this thesis is to improve the understanding of structural uncertainties with focus on process-based hydrological modelling, including methods for their quantification. To identify common deficits of frequently used hydrological models and develop further strategies on how to ...
Note:
kumulative Dissertation
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Dissertation Universität Potsdam 2020
Additional Edition:
Erscheint auch als Druck-Ausgabe Pilz, Tobias Pursuing the understanding of uncertainties in hydrological modelling Potsdam, 2020
Language:
English
Keywords:
Hydrologische Vorhersage
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Hochschulschrift
DOI:
10.25932/publishup-47664
URN:
urn:nbn:de:kobv:517-opus4-476643
Author information:
Bronstert, Axel 1959-
Author information:
Wagener, Thorsten
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