An MADM framework for assessing the overall behaviors of confidence interval in uncertainty analysis of hydrological simulations-Reference-Cited by-同舟云学术

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An MADM framework for assessing the overall behaviors of confidence interval in uncertainty analysis of hydrological simulations

Published:2024-05 Issue:11 Volume:83 Page:
ISSN:1866-6280
Container-title:Environmental Earth Sciences
language:en
Short-container-title:Environ Earth Sci

Author:

Li Zhenya,Li Shu,Lai Xijun,Shi Pengfei

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Science and Technology Planning Project of NIGLAS

Open Foundation of the Yellow River Institute of Hydraulic Research

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12665-024-11662-7.pdf

Reference64 articles.

1. Ajami NK, Duan Q, Sorooshian S (2007) An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction. Water Resour Res. https://doi.org/10.1029/2005WR004745

2. Alvisi S, Franchini M (2012) Grey neural networks for river stage forecasting with uncertainty. Phys Chem Earth 42:108–118. https://doi.org/10.1016/j.pce.2011.04.002

3. Beven K, Binley A (1992) The future of distributed models: model calibration and uncertainty prediction. Hydrol Process 6:279–298. https://doi.org/10.1002/hyp.3360060305

4. Beven K, Freer J (2001) Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology. J HYDROL 249(1):11–29. https://doi.org/10.1016/S0022-1694(01)00421-8

5. Blasone RS, Madsen H, Rosbjerg D (2008) Uncertainty assessment of integrated distributed hydrological models using GLUE with Markov chain Monte Carlo sampling. J HYDROL 353(1):18–32. https://doi.org/10.1016/j.jhydrol.2007.12.026

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