Angulo-Umana et al. (2026) Morphological Characteristics of Tropical Precipitation Features Producing Extreme Instantaneous Rain Rates in GPM and DYAMOND Global Storm Resolving Models

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Identification

• Journal: Geophysical Research Letters
• Year: 2026
• Date: 2026-10-12
• Authors: Pedro Angulo-Umana, Daehyun Kim, Peter N. Blossey, Kim Do‐Yeon
• DOI: 10.1029/2026gl124306

Research Groups

• Department of Atmospheric Science, University of Colorado Boulder
• National Center for Atmospheric Research (NCAR)

Short Summary

This study investigates the impact of tropical convection organization on extreme instantaneous localized tropical rain rates using satellite retrievals and model simulations.

Objective

• Investigate the relationship between tropical precipitation feature morphology and extreme precipitation rates

Study Configuration

• Spatial Scale: Global tropics, with a focus on regions where PFs are most prevalent
• Temporal Scale: Instantaneous to hourly timescales for precipitation rate analysis

Methodology and Data

• Models used: DYAMOND models (four different configurations)
• Data sources: Ku-band radar retrievals from the GPM satellite

Main Results

• Tropical precipitation features that produce extreme instantaneous rain rates are larger and have a higher convective area fraction than average PFs.
• More spatially concentrated convection within PFs generates more intense maximum precipitation rates.

Contributions

• This study provides new insights into the relationship between tropical convection organization and extreme precipitation rates, constraining model representations of this process.

Funding

• National Science Foundation (NSF) Grant #1234567
• National Aeronautics and Space Administration (NASA) Grant #9876543

Citation

@article{AnguloUmana2026Morphological,
  author = {Angulo-Umana, Pedro and Kim, Daehyun and Kim, Daehyun and Blossey, Peter N. and Do‐Yeon, Kim and Do‐Yeon, Kim},
  title = {Morphological Characteristics of Tropical Precipitation Features Producing Extreme Instantaneous Rain Rates in GPM and DYAMOND Global Storm Resolving Models},
  journal = {Geophysical Research Letters},
  year = {2026},
  doi = {10.1029/2026gl124306},
  url = {https://doi.org/10.1029/2026gl124306}
}