Precipitation data merging via machine learning: Revisiting conceptual and technical aspects

Research article (Journal of Hydrology, 2024) · cited 27× · AI/ML
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Precipitation data merging via machine learning: Revisiting conceptual and technical aspects

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Precipitation data merging via machine learning: Revisiting conceptual and technical aspects is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Precipitation data merging via machine learning: Revisiting conceptual and technical aspects. Retrieved May 24, 2026, from https://4ort.xyz/entity/precipitation-data-merging-via-machine-learning-revisiting-conceptual-and-technical-aspects
MLA “Precipitation data merging via machine learning: Revisiting conceptual and technical aspects.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/precipitation-data-merging-via-machine-learning-revisiting-conceptual-and-technical-aspects.
BibTeX @misc{4ortxyz_precipitation-data-merging-via-machine-learning-revisiting-conceptual-and-technical-aspects_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Precipitation data merging via machine learning: Revisiting conceptual and technical aspects}}, year = {2026}, url = {https://4ort.xyz/entity/precipitation-data-merging-via-machine-learning-revisiting-conceptual-and-technical-aspects}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Precipitation data merging via machine learning: Revisiting conceptual and technical aspects — https://4ort.xyz/entity/precipitation-data-merging-via-machine-learning-revisiting-conceptual-and-technical-aspects (retrieved 2026-05-24)

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