Hydrology and Climate Change Article Summaries

Schumacher et al. (2026) Extreme Precipitation in the Contiguous United States in Gridded Analyses and a Convection-Permitting Model Simulation

Identification

Research Groups

National Center for Atmospheric Research (NCAR), University of Colorado Boulder, National Oceanic and Atmospheric Administration (NOAA)

Short Summary

This study evaluates the representation of extreme precipitation in high-resolution, long-period-of-record precipitation datasets over the continental United States. The analysis focuses on the spatial and temporal distributions of extreme rainfall events and their ranking.

Objective

To assess the accuracy of high-resolution precipitation datasets in capturing extreme precipitation events over the contiguous United States.

Study Configuration

Methodology and Data

Main Results

The study finds that high-resolution precipitation datasets generally capture extreme precipitation events well but may underestimate their intensity. The ranking of the most extreme events varies depending on the dataset used.

Contributions

This study contributes to our understanding of the representation of extreme precipitation in high-resolution precipitation datasets and highlights the importance of using multiple datasets for accurate event ranking.

Funding

Citation

@article{Schumacher2026Extreme,
  author = {Schumacher, Russ S. and Hill, Aaron J.},
  title = {Extreme Precipitation in the Contiguous United States in Gridded Analyses and a Convection-Permitting Model Simulation},
  journal = {Journal of Hydrometeorology},
  year = {2026},
  doi = {10.1175/jhm-d-25-0212.1},
  url = {https://doi.org/10.1175/jhm-d-25-0212.1}
}

Original Source: https://doi.org/10.1175/jhm-d-25-0212.1