Goto et al. (2026) Intercomparison of Phased-Array Weather Radar and GPM-DPR Toward Calibration of Ground-Based Weather Radar Networks

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Tsubasa Goto, H. Kikuchi, Yoshitaka Nakamura, Tomoo Ushio
• DOI: 10.1109/jstars.2026.3672859

Research Groups

[Not provided in the text]

Short Summary

This paper focuses on the intercomparison of Phased-Array Weather Radar (PAWR) and Global Precipitation Measurement (GPM) Dual-frequency Precipitation Radar (DPR) data to assess their utility for calibrating ground-based weather radar networks.

Objective

• To intercompare Phased-Array Weather Radar (PAWR) and GPM-DPR observations to evaluate their potential for calibrating ground-based weather radar networks.

Study Configuration

• Spatial Scale: Not specified, but implies regional (for ground-based networks) to global (for GPM-DPR coverage).
• Temporal Scale: Not specified.

Methodology and Data

• Models used: Not specified.
• Data sources: Phased-Array Weather Radar (PAWR) and GPM-DPR.

Main Results

• Not provided in the text.

Contributions

• Not provided in the text.

Funding

• Not provided in the text.

Citation

@article{Goto2026Intercomparison,
  author = {Goto, Tsubasa and Kikuchi, H. and Nakamura, Yoshitaka and Ushio, Tomoo},
  title = {Intercomparison of Phased-Array Weather Radar and GPM-DPR Toward Calibration of Ground-Based Weather Radar Networks},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3672859},
  url = {https://doi.org/10.1109/jstars.2026.3672859}
}