Ensemble-Based Characterization of Historical Storm Types in ERA5 over CONUS

Rastogi, Deeksha; Hodges, Kevin; Ashfaq, Moetasim; Kao, Shih-Chieh

doi:10.5281/zenodo.17290376

Title: Ensemble-Based Characterization of Historical Storm Types in ERA5 over CONUS

Dataset
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Abstract

We present Storm-Type Labeled Precipitation, a gridded dataset that classifies ERA5 precipitation over CONUS (20–50° N, 125–66° W) by storm type at 6-hourly resolution. Each grid cell/time step is assigned to one of five classes—mesoscale convective system (MCS), extratropical cyclone (ETC), hurricane (HUR), atmospheric river (AR), or other convective, with an “unidentified” code reserved for cases with no detected type. Two products are provided: (i) a TempestExtremes (TE)–only version, and (ii) a hybrid TRACK–TE version that uses TRACK for ETCs and HURs and TE for MCSs and ARs. Outputs are integer masks aligned to ERA5 precipitation, supporting storm-type attribution of rainfall, event compositing, trend analysis, and model evaluation. Future work will extend detection to high-resolution downscaled Earth system model projections to support evaluations of projected changes in hydrologic hazards that may threaten critical water and energy infrastructures.

Authors:

; Hodges, Kevin;

;

ORNL
Department of Meteorology, University of Reading, Reading, United Kingdom

Publication Date:: Wed Oct 01 00:00:00 EDT 2025

DOE Contract Number:: AC05-00OR22725

Research Org.:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE

OSTI Identifier:: 3002027

DOI:: https://doi.org/10.5281/zenodo.17290376

Citation Formats


                    Rastogi, Deeksha, Hodges, Kevin, Ashfaq, Moetasim, and Kao, Shih-Chieh. Ensemble-Based Characterization of Historical Storm Types in ERA5 over CONUS.  United States: N. p., 2025. 
        Web.  doi:10.5281/zenodo.17290376.

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                    Rastogi, Deeksha, Hodges, Kevin, Ashfaq, Moetasim, & Kao, Shih-Chieh. Ensemble-Based Characterization of Historical Storm Types in ERA5 over CONUS.  United States.  doi:https://doi.org/10.5281/zenodo.17290376

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                    Rastogi, Deeksha, Hodges, Kevin, Ashfaq, Moetasim, and Kao, Shih-Chieh. 2025.  
"Ensemble-Based Characterization of Historical Storm Types in ERA5 over CONUS".  United States.  doi:https://doi.org/10.5281/zenodo.17290376.  https://www.osti.gov/servlets/purl/3002027. Pub date:Wed Oct 01 00:00:00 EDT 2025

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@article{osti_3002027,

  title        = {Ensemble-Based Characterization of Historical Storm Types in ERA5 over CONUS},

  author       = {Rastogi, Deeksha and Hodges, Kevin and Ashfaq, Moetasim and Kao, Shih-Chieh},

  abstractNote = {We present Storm-Type Labeled Precipitation, a gridded dataset that classifies ERA5 precipitation over CONUS (20–50° N, 125–66° W) by storm type at 6-hourly resolution. Each grid cell/time step is assigned to one of five classes—mesoscale convective system (MCS), extratropical cyclone (ETC), hurricane (HUR), atmospheric river (AR), or other convective, with an “unidentified” code reserved for cases with no detected type. Two products are provided: (i) a TempestExtremes (TE)–only version, and (ii) a hybrid TRACK–TE version that uses TRACK for ETCs and HURs and TE for MCSs and ARs. Outputs are integer masks aligned to ERA5 precipitation, supporting storm-type attribution of rainfall, event compositing, trend analysis, and model evaluation. Future work will extend detection to high-resolution downscaled Earth system model projections to support evaluations of projected changes in hydrologic hazards that may threaten critical water and energy infrastructures.},

  doi          = {10.5281/zenodo.17290376},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Oct 01 00:00:00 EDT 2025},

  month        = {Wed Oct 01 00:00:00 EDT 2025}

}

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DOI: https://doi.org/10.5281/zenodo.17290376

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