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September 5, 2025Journal of Hydrometeorology

Evaluation of Precipitation Retrieval Performance from 13 Passive Microwave Radiometers Relative to Spaceborne Radar Estimate: A study using Global Satellite Mapping of Precipitation (GSMaP)

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Authors

JRJihoon RyuUniversity of North Carolina WilmingtonYYYalei YouUniversity of North Carolina WilmingtonTKTakuji KubotaJapan Aerospace Exploration Agency

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Implication

Analysis of precipitation retrieval performance using 13 passive microwave radiometers, indicating implications for algorithm development.

Key Points

  • AMSR2 and GMI show the best ocean performance due to finer resolution and optimal frequency usage.
  • Over land, precipitation intensity values reveal concentrations that contribute to poorer performance metrics.
  • MHSs outperform ATMSs across both ocean and land, largely attributed to their finer spatial resolution.
  • Identified algorithm issues during snowfall conditions suggest potential improvements for future satellite datasets.

Cite This Study

Ryu et al. (2025) studied this question.

synapsesocial.com/papers/68bb3a2b2b87ece8dc954b33https://doi.org/10.1175/jhm-d-25-0036.1
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Also Consider

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  1. 1The Precipitation Retrieval and Profiling Scheme for the Special Sensor Microwave Imager/Sounder2024
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