Veloria et al. (2026) Improving GSMaP Precipitation Estimates Using a Modified Kalman Filter With Lightning Flash Rate

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Archie Veloria, Hitoshi Hirose, Yuuki Wada, Syugo Hayashi, Daichi Kitahara, Tomoo USHIO
• DOI: 10.1109/tgrs.2026.3659805

Research Groups

[Cannot be determined from the provided text.]

Short Summary

This paper aims to improve the accuracy of Global Satellite Mapping of Precipitation (GSMaP) estimates by integrating lightning flash rate data within a modified Kalman filter framework.

Objective

• To enhance the accuracy and reliability of GSMaP precipitation estimates through the assimilation of lightning flash rate information using a modified Kalman filter.

Study Configuration

• Spatial Scale: Likely regional to global, consistent with GSMaP product coverage and the nature of lightning observations.
• Temporal Scale: Likely high-frequency (e.g., hourly or sub-hourly) for precipitation and lightning data, processed sequentially by the Kalman filter.

Methodology and Data

• Models used: A modified Kalman filter algorithm; the underlying GSMaP precipitation estimation model.
• Data sources: Global Satellite Mapping of Precipitation (GSMaP) products; lightning flash rate data (likely from satellite-based sensors or ground-based lightning detection networks).

Main Results

[Cannot be determined from the provided text.]

Contributions

• Introduction of a novel methodology to refine satellite-based precipitation estimates by incorporating lightning flash rate data.
• Development and application of a modified Kalman filter specifically tailored for the assimilation of lightning information into precipitation estimation algorithms.
• Potential for improved accuracy and reduced uncertainty in GSMaP precipitation products, particularly in convective systems where lightning is a strong indicator.

Funding

[Cannot be determined from the provided text.]

Citation

@article{Veloria2026Improving,
  author = {Veloria, Archie and Hirose, Hitoshi and Wada, Yuuki and Hayashi, Syugo and Kitahara, Daichi and USHIO, Tomoo},
  title = {Improving GSMaP Precipitation Estimates Using a Modified Kalman Filter With Lightning Flash Rate},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3659805},
  url = {https://doi.org/10.1109/tgrs.2026.3659805}
}