Improved Hidden Markov Model Incorporated with Copula for Probabilistic Seasonal Drought Forecasting-Reference-Cited by-同舟云学术

Improved Hidden Markov Model Incorporated with Copula for Probabilistic Seasonal Drought Forecasting

Published:2020-06 Issue:6 Volume:25 Page:04020019
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Zhu Shuang¹,Luo Xiangang²,Chen Si³^ORCID,Xu Zhanya¹,Zhang Hairong⁴,Xiao Zuxiang⁵

Affiliation:

1. School of Geography and Information Engineering, China Univ. of Geosciences, Wuhan 430074, China.

2. Professor, School of Geography and Information Engineering, China Univ. of Geosciences, Wuhan 430074, China.

3. School of Resources and Environmental Science, Hubei Univ., Wuhan 430062, China; Hubei Key Laboratory of Regional Development and Environmental Response, 368 Youyi Ave., Wuhan 430062, China (corresponding author). ORCID: .

4. Dept. of Water Resources Management, China Yangtze Power Company Limited, 1 Jianshe Rd., Yichang 443133, China.

5. Ph.D. Candidate, School of Geography and Information Engineering, China Univ. of Geosciences, Wuhan 430074, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0001901

Reference51 articles.

1. Pair-copula constructions of multiple dependence

2. Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds

3. Seasonal Predictability and Change of Large-Scale Summer Precipitation Patterns over the Northeast United States

4. An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index

5. Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model

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