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Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5
Research article (Geoscientific model development, 2022) · cited 38× · AI/ML
Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5
Summary
Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5 is a scholarly article[1].
Key Facts
Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5'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). Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-physics-inspired-data-driven-weather-forecasting-integrating-data-assimilation-with-a-deep-spatial-transformer-b
MLA“Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-physics-inspired-data-driven-weather-forecasting-integrating-data-assimilation-with-a-deep-spatial-transformer-b.
BibTeX@misc{4ortxyz_towards-physics-inspired-data-driven-weather-forecasting-integrating-data-assimilation-with-a-deep-spatial-transformer-b_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5}}, year = {2026}, url = {https://4ort.xyz/entity/towards-physics-inspired-data-driven-weather-forecasting-integrating-data-assimilation-with-a-deep-spatial-transformer-b}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5 — https://4ort.xyz/entity/towards-physics-inspired-data-driven-weather-forecasting-integrating-data-assimilation-with-a-deep-spatial-transformer-b (retrieved 2026-05-24)
