Large-scale seasonal forecasts of river discharge by coupling local and global datasets with a stacked neural network: Case for the Loire River system.
- DOI
- 10.1016/j.scitotenv.2023.165494
- Published
- 2023 Nov 1
- Container
- The Science of the total environment
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.scitotenv.2023.165494,
title = {Large-scale seasonal forecasts of river discharge by coupling local and global datasets with a stacked neural network: Case for the Loire River system.},
author = {Vu MT and Jardani A and Krimissa M and Zaoui F and Massei N},
year = {2023},
journal = {The Science of the total environment},
doi = {10.1016/j.scitotenv.2023.165494},
url = {https://doi.org/10.1016/j.scitotenv.2023.165494}
}RIS
TY - JOUR TI - Large-scale seasonal forecasts of river discharge by coupling local and global datasets with a stacked neural network: Case for the Loire River system. AU - Vu MT AU - Jardani A AU - Krimissa M AU - Zaoui F AU - Massei N PY - 2023 JO - The Science of the total environment DO - 10.1016/j.scitotenv.2023.165494 UR - https://doi.org/10.1016/j.scitotenv.2023.165494 ER -
APA
MT, V., A, J., M, K., F, Z., & N, M. (2023). Large-scale seasonal forecasts of river discharge by coupling local and global datasets with a stacked neural network: Case for the Loire River system.. The Science of the total environment. https://doi.org/10.1016/j.scitotenv.2023.165494
Source records
- pubmed · retrieved 2026-09-26T12:19:05.509Z