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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Raw and processed CAMSELS-based data for testing discharge assimilation strategies in short-range AI-driven discharge forecasts

Authors: Saint Fleur, Bob E; Gaume, Eric;

Raw and processed CAMSELS-based data for testing discharge assimilation strategies in short-range AI-driven discharge forecasts

Abstract

For the use of these data, you are invited to get the LSTM_vUGE and/or the SACSMA_vUGE. For any git cloning, make sure you check the branch hydro_uge . For the MLP-based model (MLP_vUGE), you should checkout the branch "review01". The MLP-based model will be made available upon the publication of the associated paper. However, for any questions, we kindly invite readers to contact us. In all cases, a README.md is provided within each models for running instructions.

These data are from the CAMELS-US (Newman et al., 2015) and the CAMELS-FR (Delaigue et al., 2025) datasets. Only a subsample of the original datasets has been reformatted and dropped here for the sake of the experiments we performed in this preprint. It is an extended version of this Version v1. See the README.txt for a short idea on this data_paper's structure. The codes associated with it are indicated in the preprint.

Related Organizations
Keywords

hindcast, Hydrometeorology, Neuralhydrology, Flood forecast, Forecast, Hydrology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average