Enhancing physically-based flood forecasts through fusion of long short-term memory neural network with unscented Kalman filter

Luo, Yuxuan; Zhou, Yanlai; Xu, Hanbing; Chen, Hua; Chang, Fi-John; Xu, Chong-Yu

doi:10.1016/j.jhydrol.2024.131819

Journal of Hydrology

2024

DOI: 10.1016/j.jhydrol.2024.131819

|View full text |Cite

Enhancing physically-based flood forecasts through fusion of long short-term memory neural network with unscented Kalman filter

Yuxuan Luo,

Yanlai Zhou,

Hanbing Xu

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Evaluating the impact of improved filter-wrapper input variable selection on long-term runoff forecasting using local and global climate information

Yang,

Chen,

et al. 2024

Journal of Hydrology

View full text Add to dashboard Cite

Evaluating the impact of improved filter-wrapper input variable selection on long-term runoff forecasting using local and global climate information

Yang,

Chen,

et al. 2024

Journal of Hydrology

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Enhancing physically-based flood forecasts through fusion of long short-term memory neural network with unscented Kalman filter

Cited by 1 publication

References 47 publications

Evaluating the impact of improved filter-wrapper input variable selection on long-term runoff forecasting using local and global climate information

Evaluating the impact of improved filter-wrapper input variable selection on long-term runoff forecasting using local and global climate information

Contact Info

Product

Resources

About