Open data
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Deployed on AWS
The data are a subset of the EPA Dynamically Downscaled Ensemble (EDDE), Version 1. EDDE is a collection of physics-based modeled data that represent 3D atmospheric conditions for historical and future periods under different scenarios. The EDDE Version 1 datasets cover the contiguous United States at a horizontal grid spacing of 36 kilometers at hourly increments. EDDE Version 1 includes simulations that have been dynamically downscaled from multiple global climate models (GCMs) under both mid- and high-emission scenarios from the Fifth Coupled Model Intercomparison Project (CMIP5) using the Weather Research and Forecasting (WRF) model. Scenarios were downscaled from the Community Earth System Model (CESM) and the Geophysical Fluid Dynamics Laboratory (GFDL) Coupled Model version 3 (CM3). Simulations followed the historical periods 1975-2005 (CESM only) and 1995-2005 (both CESM and CM3), and Representative Concentration Pathways (RCP) 4.5 for 2025-2100 (CESM only), RCP6.0 for 20[...]
Overview
The data are a subset of the EPA Dynamically Downscaled Ensemble (EDDE), Version 1. EDDE is a collection of physics-based modeled data that represent 3D atmospheric conditions for historical and future periods under different scenarios. The EDDE Version 1 datasets cover the contiguous United States at a horizontal grid spacing of 36 kilometers at hourly increments. EDDE Version 1 includes simulations that have been dynamically downscaled from multiple global climate models (GCMs) under both mid- and high-emission scenarios from the Fifth Coupled Model Intercomparison Project (CMIP5) using the Weather Research and Forecasting (WRF) model. Scenarios were downscaled from the Community Earth System Model (CESM) and the Geophysical Fluid Dynamics Laboratory (GFDL) Coupled Model version 3 (CM3). Simulations followed the historical periods 1975-2005 (CESM only) and 1995-2005 (both CESM and CM3), and Representative Concentration Pathways (RCP) 4.5 for 2025-2100 (CESM only), RCP6.0 for 2025-2055 (CESM only), and RCP8.5 (both CESM and CM3). Data are in Network Common Data Form (netCDF) version 4, which is used in atmospheric modeling. The EDDE data in netCDF are further written to adhere to principles of Climate and Forecasting System (CF) Compliance to enhance portability and interoperability with data from other sources. The files are self-describing with metadata included in the netCDF header. Data reference: https://doi.org/10.23719/1530964 Some peer-reviewed publications that describe EDDE (without the name "EDDE"): https://doi.org/10.1080/10962247.2021.1970048 https://doi.org/10.5194/acp-18-15471-2018 https://doi.org/10.1080/10962247.2014.996270 https://doi.org/10.1175/JCLI-D-15-0233.1 https://doi.org/10.1002/2014JD021785
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- EDDE data are compressed netCDF (https://unidata.ucar.edu/software/netcdf/) files that conform to Climate and Forecast (CF) metdata conventions (https://cfconventions.org). The data can be ingested, processed, and visualized using standard netCDF utility routines in various programming languages. Information on the model projection and grid structure is contained in the header information of each netCDF file. Two timekeeping variables are in the files. The variable "time" conforms to CF conventions using the "hours since" construct, where the reference time is given as the initialization of the simulation. The "mtime" variable is a user-readable string that aligns with "time" expressed as YYYY-MM-DD_HH:MI:SS. Additional information can be found at https://www.epa.gov/climate-research/climate-change-tools-protect-public-health-and-environment
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::epa-edde
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://epa-edde/
- Description
- Notifications for EDDE bucket
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-east-1:127085394039:epa-edde-object_created
- AWS region
- us-east-1
Resources
Vendor resources
Support
Contact
Managed By
U.S. Environmental Protection Agency (https://www.epa.gov )
How to cite
EPA Dynamically Downscaled Ensemble (EDDE) Version 1 was accessed on DATE from https://registry.opendata.aws/epa-edde-v1 .
License
These datasets are products of the U.S. Government and are intended for public access and use. Unless otherwise specified, all data produced by the U.S EPA is, by default, in the public domain and are not subject to domestic copyright protection under 17 U.S.C. § 105. More details on the U.S. Public Domain license are available here: http://www.usa.gov/publicdomain/label/1.0/
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The data are a subset of the EPA Dynamically Downscaled Ensemble (EDDE), Version 2. EDDE is a collection of physics-based modeled data that represent 3D atmospheric conditions for historical and future periods under different scenarios. The EDDE Version 2 datasets cover the contiguous United States at a horizontal grid spacing of 12 kilometers at hourly increments. EDDE Version 2 will include simulations that have been dynamically downscaled from multiple global climate models (GCMs) under multiple emission scenarios from the Sixth Coupled Model Intercomparison Project (CMIP6) using the Weather Research and Forecasting (WRF) model. Scenarios were downscaled from the Max Planck Institute (MPI) Earth System Model (ESM) version 1.2 High Resolution (MPI-ESM1-2-HR), with plans to expand into additional GCMs in the future. Simulations cover the historical period 1985-2014 and a future period of 2025-2100 under Shared Socioeconomic Pathway (SSP) 3-7.0. Data are in Network Common Dat[...]
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