Regional multi-objective calibration for distributed hydrological modelling: a decision tree based approach

Large scale modelling is becoming increasingly important in hydrology, particularly to characterize and quantify changes in the hydrological regime, whose drivers are typically large-scale phenomena, up to the global scale (e.g., climate change). This can be done with distributed models by estimatin...

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Bibliographic Details
Published in:	Proceedings of the International Association of Hydrological Sciences Vol. 385; pp. 65 - 69
Main Authors:	Pesce, Matteo, Viglione, Alberto, von Hardenberg, Jost, Tarasova, Larisa, Basso, Stefano, Merz, Ralf, Parajka, Juraj, Tong, Rui
Format:	Journal Article Conference Proceeding
Language:	English
Published:	Gottingen Copernicus GmbH 18.04.2024 Copernicus Publications
Subjects:	Calibration Catchments Climate change Clouds Datasets Decision trees Efficiency Geomorphology Hydrologic models Hydrologic regime Hydrology Large-scale models Machine learning Mathematical functions Modelling MODIS Mountain regions Mountainous areas Parameter estimation Parameters Precipitation Scale models Snow Snow cover Temperature Watersheds Italy
ISSN:	2199-899X, 2199-8981, 2199-899X
Online Access:	Get full text
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