对 "贝叶斯非均质隐马尔科夫模型对东亚雨季日降雨量的可预测性 "的更正

IF 3 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Journal of Flood Risk Management Pub Date : 2024-05-16 DOI:10.1111/jfr3.12990

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引用次数: 0

摘要

Cao, Q., Zhang, H., Lall, U., & Holsclaw, T. (2024).贝叶斯非均质隐马尔可夫模型对东亚雨季日降雨量的可预测性。Journal of Flood Risk Management, 17(1), e12942. https://doi.org/10.1111/jfr3.12942The 以下内容已添加到文章中。*添加作者 5 已征得文章所有作者（包括作者 5 和期刊编辑部）的同意。

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Correction to “The predictability of daily rainfall during rainy season over East Asia by a Bayesian nonhomogeneous hidden Markov model”

Cao, Q., Zhang, H., Lall, U., & Holsclaw, T. (2024). The predictability of daily rainfall during rainy season over East Asia by a Bayesian nonhomogeneous hidden Markov model. Journal of Flood Risk Management, 17(1), e12942. https://doi.org/10.1111/jfr3.12942

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*Author 5 has been added with the consent of all the authors of the article, including author 5 and the journal editorial office.

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来源期刊

Journal of Flood Risk Management ENVIRONMENTAL SCIENCES-WATER RESOURCES

CiteScore

8.40

自引率

7.30%

发文量

审稿时长

12 months

期刊介绍： Journal of Flood Risk Management provides an international platform for knowledge sharing in all areas related to flood risk. Its explicit aim is to disseminate ideas across the range of disciplines where flood related research is carried out and it provides content ranging from leading edge academic papers to applied content with the practitioner in mind. Readers and authors come from a wide background and include hydrologists, meteorologists, geographers, geomorphologists, conservationists, civil engineers, social scientists, policy makers, insurers and practitioners. They share an interest in managing the complex interactions between the many skills and disciplines that underpin the management of flood risk across the world.