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The Environmental Protection Agency (EPA) Dynamically Downscaled Ensemble (EDDE) Version 2: A 3D Physics-Based Dataset for Projections of Future Extreme Weather Events
The EPA Dynamically Downscaled Ensemble (EDDE) Version 2 is a collection of physics-based projections of future conditions, as well as historical simulations, dynamically downscaled from global climate models within the Sixth Coupled Model Intercomparison Project (CMIP6) using the Weather Research and Forecasting (WRF) model. EDDEv2 contains simulations over historical (1985-2014) and future (2025-2099) periods under multiple Shared Socioeconomic Pathways (SSPs) downscaled on a 12-km contiguous U.S. domain.
EDDE datasets are produced by EPA/ORD staff and by contract staff who worked under the technical guidance of EPA/ORD staff. Data are in Network Common Data Form (netCDF) and are subset from WRF's output and then written to adhere to principles of Climate and Forecasting System (CF) Compliance, as outlined at https://cfconventions.org.
This dataset is associated with the following publication:
Mallard, M., T. Spero, J. Bowden, J. Willison, K. Brehme, and L. Reynolds. The Environmental Protection Agency (EPA) Dynamically Downscaled Ensemble (EDDE) version 2: A 3D physics-based dataset for projections of future extreme weather events. Data in Brief. Elsevier B.V., Amsterdam, NETHERLANDS, 63: 112070, (2025).
Complete Metadata
| accessLevel | public |
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| description | The EPA Dynamically Downscaled Ensemble (EDDE) Version 2 is a collection of physics-based projections of future conditions, as well as historical simulations, dynamically downscaled from global climate models within the Sixth Coupled Model Intercomparison Project (CMIP6) using the Weather Research and Forecasting (WRF) model. EDDEv2 contains simulations over historical (1985-2014) and future (2025-2099) periods under multiple Shared Socioeconomic Pathways (SSPs) downscaled on a 12-km contiguous U.S. domain. EDDE datasets are produced by EPA/ORD staff and by contract staff who worked under the technical guidance of EPA/ORD staff. Data are in Network Common Data Form (netCDF) and are subset from WRF's output and then written to adhere to principles of Climate and Forecasting System (CF) Compliance, as outlined at https://cfconventions.org. This dataset is associated with the following publication: Mallard, M., T. Spero, J. Bowden, J. Willison, K. Brehme, and L. Reynolds. The Environmental Protection Agency (EPA) Dynamically Downscaled Ensemble (EDDE) version 2: A 3D physics-based dataset for projections of future extreme weather events. Data in Brief. Elsevier B.V., Amsterdam, NETHERLANDS, 63: 112070, (2025). |
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| identifier | https://doi.org/10.23719/1532351 |
| keyword |
[
"Extreme Events",
"downscaling",
"ensemble",
"modeling"
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|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2025-09-01 |
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| references |
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"https://doi.org/10.1016/j.dib.2025.112070",
"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12505687"
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|
| rights |
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| title | The Environmental Protection Agency (EPA) Dynamically Downscaled Ensemble (EDDE) Version 2: A 3D Physics-Based Dataset for Projections of Future Extreme Weather Events |
