A Window‐Augmented Machine Learning Approach for Direct GNSS Precipitable Water Vapor Retrieval
Abstract Global Navigation Satellite Systems (GNSS) provide an effective means for remote sensing of precipitable water vapor (PWV). However, conventional GNSS‐based PWV retrieval approaches rely heavily on auxiliary meteorological parameters, which are frequently unavailable in real time, while mos...
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| Hauptverfasser: | , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Wiley
2026-04-01
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| Schriftenreihe: | Journal of Geophysical Research: Machine Learning and Computation |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1029/2025JH001086 |
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