Model averaging versus model selection: estimating design floods with uncertain river flow data

Author:

Okoli Kenechukwu12ORCID,Breinl Korbinian12,Brandimarte Luigia3,Botto Anna4,Volpi Elena5,Di Baldassarre Giuliano12

Affiliation:

1. Department of Earth Sciences, Uppsala University, Uppsala, Sweden

2. Centre of Natural Hazards and Disaster Science (CNDS), Uppsala, Sweden

3. Department of Sustainable Development, Environmental Science and Engineering, Royal Institute of Technology, Stockholm, Sweden

4. Department of Civil, Environmental and Architectural Engineering, University di Padova, Padova, Italy

5. Department of “Scienze dell’ Ingegneria Civile”, University of “Roma Tre”, Rome, Italy

Publisher

Informa UK Limited

Subject

Water Science and Technology

Reference59 articles.

1. Akaike, H., 1973. Information theory and an extension of the maximum likelihood principle. In: B.N. Petrov and F. Csáki, eds. 2nd International Symposium on Information Theory, Tsahkadsor, Armenia, USSR, September 2–8, 1971, Budapest: Akadémiai Kiadó, 267–281.

2. Prophecy, reality and uncertainty in distributed hydrological modelling

3. A manifesto for the equifinality thesis

4. Rainfall-Runoff Modelling

5. The future of distributed models: Model calibration and uncertainty prediction

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