Physically constrained generative adversarial networks for improving precipitation fields from Earth system models

Research article (Nature Machine Intelligence, 2022) · cited 76× · AI/ML
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Physically constrained generative adversarial networks for improving precipitation fields from Earth system models

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Physically constrained generative adversarial networks for improving precipitation fields from Earth system models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Physically constrained generative adversarial networks for improving precipitation fields from Earth system models. Retrieved May 24, 2026, from https://4ort.xyz/entity/physically-constrained-generative-adversarial-networks-for-improving-precipitation-fields-from-earth-system-models
MLA “Physically constrained generative adversarial networks for improving precipitation fields from Earth system models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/physically-constrained-generative-adversarial-networks-for-improving-precipitation-fields-from-earth-system-models.
BibTeX @misc{4ortxyz_physically-constrained-generative-adversarial-networks-for-improving-precipitation-fields-from-earth-system-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Physically constrained generative adversarial networks for improving precipitation fields from Earth system models}}, year = {2026}, url = {https://4ort.xyz/entity/physically-constrained-generative-adversarial-networks-for-improving-precipitation-fields-from-earth-system-models}, note = {Accessed: 2026-05-24}}
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