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Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction
Research article (Journal of Hydrology, 2023) · cited 27× · AI/ML
Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction
Summary
Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction is a scholarly article[1].
Key Facts
Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-a-physics-based-hydrological-model-and-storm-transposition-to-investigate-machine-learning-algorithms-for-streamfl
MLA“Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-a-physics-based-hydrological-model-and-storm-transposition-to-investigate-machine-learning-algorithms-for-streamfl.
BibTeX@misc{4ortxyz_using-a-physics-based-hydrological-model-and-storm-transposition-to-investigate-machine-learning-algorithms-for-streamfl_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction}}, year = {2026}, url = {https://4ort.xyz/entity/using-a-physics-based-hydrological-model-and-storm-transposition-to-investigate-machine-learning-algorithms-for-streamfl}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction — https://4ort.xyz/entity/using-a-physics-based-hydrological-model-and-storm-transposition-to-investigate-machine-learning-algorithms-for-streamfl (retrieved 2026-05-24)
