Jin et al. (2026) On the Potential of Using GNSS-Derived Precipitable Water Vapor From 5G Base Stations to Improve the Model for Typhoon Precipitation Forecasting

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Ziqi Jin, Zhenshou Yu, Zhengqi Lu, Feng Chen, Shifeng Hao, Yaqin Xu, Shuxian Zhang
• DOI: 10.1109/jstars.2026.3669007

Research Groups

Not available in the provided text.

Short Summary

This paper investigates the potential of integrating precipitable water vapor (PWV) data, derived from Global Navigation Satellite System (GNSS) signals collected by 5G base stations, to enhance models used for forecasting typhoon precipitation.

Objective

• To investigate the potential of using GNSS-derived precipitable water vapor (PWV) from 5G base stations to improve the accuracy of models for typhoon precipitation forecasting.

Study Configuration

• Spatial Scale: Not available in the provided text.
• Temporal Scale: Not available in the provided text.

Methodology and Data

• Models used: Not available in the provided text.
• Data sources: GNSS-derived precipitable water vapor from 5G base stations (inferred from title). Other data sources not available in the provided text.

Main Results

Not available in the provided text.

Contributions

Not available in the provided text.

Funding

Not available in the provided text.

Citation

@article{Jin2026Potential,
  author = {Jin, Ziqi and Yu, Zhenshou and Lu, Zhengqi and Chen, Feng and Hao, Shifeng and Xu, Yaqin and Zhang, Shuxian},
  title = {On the Potential of Using GNSS-Derived Precipitable Water Vapor From 5G Base Stations to Improve the Model for Typhoon Precipitation Forecasting},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3669007},
  url = {https://doi.org/10.1109/jstars.2026.3669007}
}