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Mapping the seamless hourly surface visibility in China: a real-time retrieval framework using a machine-learning-based stacked ensemble model
Research article (npj Climate and Atmospheric Science, 2024) · cited 16× · AI/ML
Mapping the seamless hourly surface visibility in China: a real-time retrieval framework using a machine-learning-based stacked ensemble model
Summary
Mapping the seamless hourly surface visibility in China: a real-time retrieval framework using a machine-learning-based stacked ensemble model is a scholarly article[1].
Key Facts
Mapping the seamless hourly surface visibility in China: a real-time retrieval framework using a machine-learning-based stacked ensemble model'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). Mapping the seamless hourly surface visibility in China: a real-time retrieval framework using a machine-learning-based stacked ensemble model. Retrieved May 24, 2026, from https://4ort.xyz/entity/mapping-the-seamless-hourly-surface-visibility-in-china-a-real-time-retrieval-framework-using-a-machine-learning-based-s
MLA“Mapping the seamless hourly surface visibility in China: a real-time retrieval framework using a machine-learning-based stacked ensemble model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mapping-the-seamless-hourly-surface-visibility-in-china-a-real-time-retrieval-framework-using-a-machine-learning-based-s.
BibTeX@misc{4ortxyz_mapping-the-seamless-hourly-surface-visibility-in-china-a-real-time-retrieval-framework-using-a-machine-learning-based-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mapping the seamless hourly surface visibility in China: a real-time retrieval framework using a machine-learning-based stacked ensemble model}}, year = {2026}, url = {https://4ort.xyz/entity/mapping-the-seamless-hourly-surface-visibility-in-china-a-real-time-retrieval-framework-using-a-machine-learning-based-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mapping the seamless hourly surface visibility in China: a real-time retrieval framework using a machine-learning-based stacked ensemble model — https://4ort.xyz/entity/mapping-the-seamless-hourly-surface-visibility-in-china-a-real-time-retrieval-framework-using-a-machine-learning-based-s (retrieved 2026-05-24)
