Realistic tropical cyclone wind and pressure fields can be reconstructed from sparse data using deep learning

Research article (Communications Earth & Environment, 2024) · cited 29× · AI/ML
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Realistic tropical cyclone wind and pressure fields can be reconstructed from sparse data using deep learning

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Realistic tropical cyclone wind and pressure fields can be reconstructed from sparse data using deep learning is a scholarly article[1].

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  • Realistic tropical cyclone wind and pressure fields can be reconstructed from sparse data using deep learning's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Realistic tropical cyclone wind and pressure fields can be reconstructed from sparse data using deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/realistic-tropical-cyclone-wind-and-pressure-fields-can-be-reconstructed-from-sparse-data-using-deep-learning
MLA “Realistic tropical cyclone wind and pressure fields can be reconstructed from sparse data using deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/realistic-tropical-cyclone-wind-and-pressure-fields-can-be-reconstructed-from-sparse-data-using-deep-learning.
BibTeX @misc{4ortxyz_realistic-tropical-cyclone-wind-and-pressure-fields-can-be-reconstructed-from-sparse-data-using-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Realistic tropical cyclone wind and pressure fields can be reconstructed from sparse data using deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/realistic-tropical-cyclone-wind-and-pressure-fields-can-be-reconstructed-from-sparse-data-using-deep-learning}, note = {Accessed: 2026-05-24}}
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