Monsalve et al. (2026) Quantifying the Effect of a Parallax-Correcting Algorithm for Passive Microwave Satellite Precipitation Retrievals across the Conterminous United States

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Journal of Hydrometeorology
• Year: 2026
• Date: 2026-01-08
• Authors: Angel Monsalve, Hernán A Moreno, Eric Goldenstern, Christian D. Kummerow
• DOI: 10.1175/jhm-d-24-0060.1

Research Groups

Not explicitly stated in the abstract.

Short Summary

This study develops and applies a novel geometrical parallax correction scheme to Global Precipitation Measurement Microwave Imager (GMI) retrievals, demonstrating significant improvements in precipitation retrieval accuracy, particularly during summer months with high freezing levels.

Objective

• To develop and apply a novel geometrical correction scheme to mitigate the spatial mismatch (parallax mismatching) in Global Precipitation Measurement Microwave Imager (GMI) precipitation retrievals caused by tilted measurement instruments, thereby improving their accuracy.

Study Configuration

• Spatial Scale: Conterminous United States
• Temporal Scale: Analysis focused on summer months, characterized by relatively high freezing levels.

Methodology and Data

• Models used: Goddard profiling algorithm (GPROF) (as the baseline algorithm for GMI retrievals); A novel geometrical parallax correction algorithm developed in this study.
• Data sources: Global Precipitation Measurement (GPM) Microwave Imager (GMI) precipitation retrievals; Ground-validated Multi-Radar Multi-Sensor (GV-MRMS) system data (for validation); Fifth generation European Centre for Medium-Range Weather Forecasts atmospheric reanalysis (ERA5) temperature profiles (to determine freezing level).

Main Results

• The application of the novel parallax correction scheme significantly improves the overall retrieval accuracy of GPROF.
• Improvements in accuracy are most pronounced during the summer months.
• The correction scheme enhances accuracy for every precipitation type.
• The observed improvements correlate with periods when the freezing level is relatively high.

Contributions

• Development of a novel geometrical parallax correction algorithm specifically for passive microwave radiometers.
• Demonstrated significant improvement in the accuracy of GMI precipitation retrievals by minimizing spatial distortions.
• Advances the reliability of satellite-based precipitation estimation, which is crucial for more precise weather forecasting, climate monitoring, and environmental assessments.

Funding

Not explicitly stated in the abstract.

Citation

@article{Monsalve2026Quantifying,
  author = {Monsalve, Angel and Moreno, Hernán A and Goldenstern, Eric and Kummerow, Christian D.},
  title = {Quantifying the Effect of a Parallax-Correcting Algorithm for Passive Microwave Satellite Precipitation Retrievals across the Conterminous United States},
  journal = {Journal of Hydrometeorology},
  year = {2026},
  doi = {10.1175/jhm-d-24-0060.1},
  url = {https://doi.org/10.1175/jhm-d-24-0060.1}
}