Bayesian spectral likelihood for hydrological parameter inference
Author:
Affiliation:
1. Faculty of Geosciences and Environment; Institute of Earth Surface Dynamics, University of Lausanne; Lausanne Switzerland
2. School of Civil, Environmental and Mining Engineering; University of Adelaide; Adelaide South Australia Australia
Funder
Swiss National Science Foundation
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016WR019465/fullpdf
Reference61 articles.
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3. The future of distributed models: Model calibration and uncertainty prediction;Beven;Hydrol. Processes,1992
4. Analytically derived runoff models based on rainfall point processes;Bierkens;Water Resour. Res.,1990
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