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Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model
Research article (Journal of Computational Science, 2020) · cited 199× · AI/ML
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model
Summary
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model is a scholarly article[1].
Key Facts
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-data-assimilation-and-machine-learning-to-emulate-a-dynamical-model-from-sparse-and-noisy-observations-a-case-
MLA“Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-data-assimilation-and-machine-learning-to-emulate-a-dynamical-model-from-sparse-and-noisy-observations-a-case-.
BibTeX@misc{4ortxyz_combining-data-assimilation-and-machine-learning-to-emulate-a-dynamical-model-from-sparse-and-noisy-observations-a-case-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model}}, year = {2026}, url = {https://4ort.xyz/entity/combining-data-assimilation-and-machine-learning-to-emulate-a-dynamical-model-from-sparse-and-noisy-observations-a-case-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model — https://4ort.xyz/entity/combining-data-assimilation-and-machine-learning-to-emulate-a-dynamical-model-from-sparse-and-noisy-observations-a-case- (retrieved 2026-05-24)
