A Self‐Supervised Framework for Refined Reconstruction of Geophysical Fields via Domain Adaptation

A Self‐Supervised Framework for Refined Reconstruction of Geophysical Fields via Domain Adaptation

Abstract Reconstructing fine‐grained, detailed spatial structures from time‐evolving coarse‐scale geophysical fields has been a long‐standing challenge. Current deep learning approaches addressing this issue generally require massive fine‐scale fields as supervision, which is often unavailable due t...

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Bibliographic Details
Main Authors: Liwen Wang, Qian Li, Tianying Wang, Qi Lv, Xuan Peng
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2024-07-01
Series:Earth and Space Science
Subjects:
self‐supervised learning
geophysical field
domain adaptation
pretext task
Online Access:https://doi.org/10.1029/2023EA003197

Internet

https://doi.org/10.1029/2023EA003197

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