The implication of information theory for estimating and detangling hydrological modelling uncertainty

Author:

Findanis Evangelos,Loukas AthanasiosORCID

Publisher

Elsevier BV

Reference30 articles.

1. Development of a Rainfall-Runoff Model, its Calibration and Validation;Abulohom;Water Resources Management,2001

2. Entropy in the assessment of uncertainty in hydrologic systems and models;Amorocho;Water Resources Research,1973

3. Blöschl G. et al, Twenty-three unsolved problems in hydrology (UPH) – A community perspective, Hydrological Sciences Journal, 64(10), 1141–1158, 2019, https://doi.org/ 10.1080/02626667.2019.1620507.

4. Cabaneros S. M., Ben Hughes B., Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting, Environmental Modelling & Software (158), 105529, 2022, https://doi.org/10.1016/j.envsoft.2022.105529.

5. On Entropy, Information, and Conservation of Information;Çengel;Entropy,2021

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