Hydrological uncertainty processor based on a copula function-Reference-Cited by-同舟云学术

Hydrological uncertainty processor based on a copula function

Published:2017-12-13 Issue:1 Volume:63 Page:74-86
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Liu Zhangjun¹²,Guo Shenglian¹,Xiong Lihua¹,Xu Chong-Yu¹³

Affiliation:

1. State Key Laboratory of Water Resources and Hydropower Engineering Science, Hubei Provincial Collaborative Innovative Center for Water Resources Security, Wuhan University, Wuhan, China

2. Department of Water Resources and Water Environment, Jiangxi Provincial Institute of Water Sciences, Nanchang, China

3. Department of Geosciences, University of Oslo, Oslo, Norway

Funder

National Natural Science Foundation of China

National Key Research and Development Plan of China

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2017.1410278

Reference93 articles.

1. The impact of climate change on the water resources of Hindukush–Karakorum–Himalaya region under different glacier coverage scenarios

2. Geostatistical interpolation using copulas

3. Statistical Decision Theory and Bayesian Analysis

4. Nationwide hydrological statistics for Sweden with high resolution using the hydrological model S-HYPE

5. Performance assessment of a Bayesian Forecasting System (BFS) for real-time flood forecasting

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