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Science Highlight - June 2026

A distinct type of heavy rainfall with large raindrops over extratropical regions revealed by 10 years of GPM spaceborne radar measurements
Ryu et al. (2025)

Large raindrops are typically associated with intense continental thunderstorms, where strong convection promotes rapid growth through collision and coalescence. But are large-drop heavy rainfall events limited to these environments?

Using 10 years of observations from the Global Precipitation Measurement (GPM) Dual-frequency Precipitation Radar (DPR), Ryu et al. (2025) revisit this long-standing assumption by examining the global occurrence of heavy rainfall characterized by relatively large raindrops and low drop concentrations. Applying a Gaussian Mixture Model to storm-height observations, the authors identify two distinct types of large-drop heavy rainfall: a high storm height (HSH) type associated with deep convection and a previously underappreciated low storm height (LSH) type occurring in shallower storm systems.

Their findings show that:

  • Large-drop heavy rainfall is not confined to deep continental convection. Approximately 38% of identified events belong to the LSH type, which occurs predominantly over midlatitude oceans.
  • The HSH and LSH types exhibit similar near-surface drop size characteristics but differ substantially in storm structure and environmental conditions. HSH events are associated with deep convective clouds and warm environments favorable for collision–coalescence growth, whereas LSH events occur in colder environments with lower melting layers.
  • Evidence from radar observations and reanalysis data suggests that large drops in LSH events are likely produced through the melting of snow or graupel rather than strong convective growth processes.
  • LSH events occur most frequently during winter, show little diurnal variability, and are strongly linked to extratropical cyclones, with more than half of midlatitude LSH events associated with cyclone activity.

Overall, this study demonstrates that large-drop heavy rainfall can arise through multiple pathways and occur in environments not typically associated with strong convection. These findings provide new insight into precipitation microphysics over midlatitude oceans and have important implications for satellite precipitation retrievals and weather prediction model parameterizations in extratropical regions.

Co-authors: Jihoon Ryu, Jaeyeon Lee, and Yalei You


Past Science Highlights

  • April, 2026: Worrall and Judge (2026). In-season crop progress in unsurveyed regions using networks trained on synthetic data. Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2025.115102
  • March, 2026: Zhao et al. (2026). Satellite microwave radiometry at L-Band for monitoring Earth’s essential climate variables: from fundamental physics to sixteen years of global climate observations and beyond. IEEE Geoscience and Remote Sensing Magazine, https://doi.org/10.1109/MGRS.2026.3665669
  • February, 2026: Hirschi et al. (2025). Potential of long-term satellite observations and reanalysis products for characterising soil drying: trends and drought events. Hydrology and Earth System Sciences, 29(2), 397–425, https://doi.org/10.5194/hess-29-397-2025
  • October, 2025: Maina and Kumar (2025). Global patterns of rain-on-snow and its impacts on runoff from past to future projections. Nature Communications, 16, 4731, https://doi.org/10.1038/s41467-025-59855-3
  • August, 2025: Chandanpurkar et al. (2025). Unprecedented continental drying, shrinking freshwater availability, and increasing land contributions to sea level rise. Science Advances, 11(30), eadx0298, https://doi.org/10.1126/sciadv.adx0298
  • July, 2025: Li et al. (2025). Global dominance of seasonality in shaping lake-surface-extent dynamics. Nature, 642, 361–368, https://doi.org/10.1038/s41586-025-09046-3
  • June, 2025: Abdelmohsen et al. (2025). Declining freshwater availability in the Colorado River Basin threatens sustainability of its critical groundwater supplies. Geophysical Research Letters, 52(10), e2025GL115593, https://doi.org/10.1029/2025GL115593
  • May, 2025: Román et al. (2024). Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products. Remote Sensing of Environment, 302, 113963, https://doi.org/10.1016/j.rse.2023.113963 
  • April, 2025: Felton et al. (2025). Global estimates of the storage and transit time of water through vegetation. Nature Water, 3, 59–69https://doi.org/10.1038/s44221-024-00365-9 
  • March, 2025: Ahmad et al. (2025). Challenges in Unifying Physically Based and Machine Learning Simulations. Geophysical Research Letters, 52(4), e2024GL112893, https://doi.org/10.1029/2024GL112893 
  • February, 2025: Vinogradova et al. (2025). A new look at Earth’s water and energy with SWOT. Nature Water, 3, 27–37https://doi.org/10.1038/s44221-024-00372-w
  • January, 2025: Crow and Feldman (2025). Vegetation signal crosstalk present in official SMAP surface soil moisture retrievals. Remote Sensing of Environment, 316, 114466, https://doi.org/10.1016/j.rse.2024.114466
  • October, 2024: Manh-Hung et al. (2024). On the Use of SMAP Soil Moisture for Forecasting NDVI Over CONUS Cropland Regions. Geophysial Research Letters, 51(20), e2024GL111187, https://doi.org/10.1029/2024GL111187