A machine learning downscaling framework based on a physically constrained sliding window technique for improving resolution of global water storage anomaly

Research article (Remote Sensing of Environment, 2024) · cited 47× · AI/ML
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A machine learning downscaling framework based on a physically constrained sliding window technique for improving resolution of global water storage anomaly

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A machine learning downscaling framework based on a physically constrained sliding window technique for improving resolution of global water storage anomaly is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A machine learning downscaling framework based on a physically constrained sliding window technique for improving resolution of global water storage anomaly. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-machine-learning-downscaling-framework-based-on-a-physically-constrained-sliding-window-technique-for-improving-resolu
MLA “A machine learning downscaling framework based on a physically constrained sliding window technique for improving resolution of global water storage anomaly.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-machine-learning-downscaling-framework-based-on-a-physically-constrained-sliding-window-technique-for-improving-resolu.
BibTeX @misc{4ortxyz_a-machine-learning-downscaling-framework-based-on-a-physically-constrained-sliding-window-technique-for-improving-resolu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A machine learning downscaling framework based on a physically constrained sliding window technique for improving resolution of global water storage anomaly}}, year = {2026}, url = {https://4ort.xyz/entity/a-machine-learning-downscaling-framework-based-on-a-physically-constrained-sliding-window-technique-for-improving-resolu}, note = {Accessed: 2026-05-24}}
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