Sold by: U.S. Environmental Protection Agency
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These data are being released to support states in wildfire Exceptional Events demonstrations. EPA released fire impacts modeling data for the 2023 fire season called the Expedited Modeling of Burn Events Results (EMBER) in December 2024. EPA has updated the EMBER Dataset Tool on the EPA website to include summary tables and graphics four new years of EMBER data: 2021, 2022, 2024, and 2025. As part of the effort to update the EMBER data, we are posting the full model input and output files publicly here to aid state, local, and Tribal air agencies in constructing any potential Exceptional Events demonstrations. For more information about EMBER, see the following web page: https://www.epa.gov/air-quality-analysis/expedited-modeling-burn-events-results-ember
Overview
These data are being released to support states in wildfire Exceptional Events demonstrations. EPA released fire impacts modeling data for the 2023 fire season called the Expedited Modeling of Burn Events Results (EMBER) in December 2024. EPA has updated the EMBER Dataset Tool on the EPA website to include summary tables and graphics four new years of EMBER data: 2021, 2022, 2024, and 2025. As part of the effort to update the EMBER data, we are posting the full model input and output files publicly here to aid state, local, and Tribal air agencies in constructing any potential Exceptional Events demonstrations. For more information about EMBER, see the following web page: https://www.epa.gov/air-quality-analysis/expedited-modeling-burn-events-results-ember
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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.
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This is a publicly available data set. No subscription is required.
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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
- The data are organized into four yearly folders (`2021 data`, `2022 data`, `2024 data`, and `2025 data`), each with the same directory structure: ``` $YYYY (four digit year) └── CMAQ ├── Emissions │ ├── Anthropogenic │ └── fires ├── Inputs │ ├── ICBC │ └── MCIP └── Outputs ``` All files are NetCDF version 3 formatted files using I/O API (IOAPI) data structures. #### Emissions input files Emissions are split into two main directories, **Anthropogenic** and **Fires**.<br> <br> **Anthropogenic** includes all anthropogenic emissions, used in the base simulation as well as both zero-out simulations. The same anthropogenic emissions are used for the 2021 and 2022 simulations, so the files are only provided in the 2021 directory (the 2022 directory contains a README pointing there). Likewise, the same emissions are used for 2024 and 2025 for all sectors except ptegu. All emissions files from sectors other than ptegu are only provided in the 2024 directory (the 2025 directory contains a README pointing there). <br><br> Subfolders: <br> - `Beis_inline` — auxiliary files needed to run CMAQ with online biogenic emissions calculations - `merged_nobeis_norwc` — gridded emissions: all gridded sources except residential wood combustion and biogenic sources - `rwc` — gridded emissions: residential wood combustion - `pt_oilgas` — point source emissions: oil and gas exploration and production - `ptegu` — point source emissions: electric generating units - `cmv_c3` or `cmv_c3_36` — point source emissions: large ocean-going C3 class commercial ships - `cmv_c1c2` or `cmv_c3_36` — point source emissions: smaller C1 and C2 class commercial ships - `othpt` or `canmex_point` — point source emissions: sources located in Mexico and Canada - `ptagfire` (2024 only) — point source emissions: agricultural burning sources - `ptnonipm` (2021 and 2024) and `ptnonipm_hr` (2024 only) — point source emissions not included in another category; `ptnonipm_hr` comes from sources with hourly CEMS data **Fires** includes day-specific fire emissions for each simulation year. <br><br> Subfolders: <br> - `ptfire_othna` (2021 and 2022) — wildland and agricultural fires in Canada and Mexico - `ptfire-canada` (2024 and 2025) — wildfires in Canada - `ptfire_mexona` (2024 and 2025) — wildland and agricultural fires in Mexico - `ptfire-rx` — prescribed fires in the United States - `ptfire-wild` — wildfires in the United States Point source sectors include `inln_mole` files (emissions magnitudes) and `stack_groups` files (emissions location/stack characteristics). Gridded sectors include only `emis_mole` files (gridded emissions magnitudes). #### Meteorological input files Found in `$YYYY/CMAQ/inputs/MCIP`. Files are NetCDF version 3 formatted files using I/O API (IOAPI) data structures, provided for every day of the simulation. File type and variable descriptions: https://github.com/USEPA/CMAQ/tree/main/PREP/mcip #### Initial and boundary condition files Found in `$YYYY/CMAQ/inputs/ICBC`. Files are NetCDF version 3 formatted files using I/O API (IOAPI) data structures. Initial conditions are provided for April 1 of each simulation year; boundary condition files are provided for every day of the simulation. Descriptions: https://github.com/USEPA/CMAQ/tree/main/PREP/bcon and https://github.com/USEPA/CMAQ/tree/main/PREP/icon #### Gridded model output files For each simulation year, gridded daily layer-1 model outputs are provided for three simulations (base, zero fires, and zero Canada and Mexico fires) under `$YYYY/CMAQ/outputs/`: ``` 2021/CMAQ/outputs/ Base: HR2DAY_CMAQv55_cb6r5_ae7_aq.36US3.35.basecase2021_2021_O3_PM25_01Apr2021to30Sep2021.nc Zero fires: HR2DAY_CMAQv55_cb6r5_ae7_aq.36US3.35.noFires2021_2021_O3_PM25_01Apr2021to30Sep2021.nc Zero CA/MX fires: HR2DAY_CMAQv55_cb6r5_ae7_aq.36US3.35.noCN-MXfires2021_2021_O3_PM25_01Apr2021to30Sep2021.nc 2022/CMAQ/outputs/ Base: HR2DAY_CMAQv55_cb6r5_ae7_aq.36US3.35.basecase2022_2022_O3_PM25_01Apr2022to30Sep2022.nc Zero fires: HR2DAY_CMAQv55_cb6r5_ae7_aq.36US3.35.noFires2022_2022_O3_PM25_01Apr2022to30Sep2022.nc Zero CA/MX fires: HR2DAY_CMAQv55_cb6r5_ae7_aq.36US3.35.noCN-MXfires2022_2022_O3_PM25_01Apr2022to30Sep2022.nc 2024/CMAQ/outputs/ Base: hr2day_merged_2024.2024basecase_AMD_36US3_35.v55_m3dry.Apr-Sep.keyvars.ncf Zero fires: hr2day_merged_2024.EMBER_noFires_AMD_36US3_35.v55_m3dry.Apr-Sep.keyvars.ncf Zero CA/MX fires: hr2day_merged_2024.EMBER_noCA-MXfires_AMD_36US3_35.v55_m3dry.Apr-Sep.keyvars.ncf 2025/CMAQ/outputs/ Base: hr2day_merged_2025.2025basecase_AMD_36US3_35.v55_m3dry.Apr-Sep.keyvars.ncf Zero fires: hr2day_merged_2025.EMBER_noFires_AMD_36US3_35.v55_m3dry.Apr-Sep.keyvars.ncf Zero CA/MX fires: hr2day_merged_2025.EMBER_noCA-MXfires_AMD_36US3_35.v55_m3dry.Apr-Sep.keyvars.ncf ``` Each output file is a NetCDF version 3 formatted file using I/O API (IOAPI) data structures, containing daily gridded concentrations from layer 1 of the model simulation, with the following variables: - `O3_MDA8` — maximum daily 8-hour ozone concentrations - `ATOTIJ_AVG` — 24-hour average total PM2.5 concentrations
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::epa-ember
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://epa-ember/
- Description
- Notification for the Ember bucket
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-east-1:127085394039:epa-ember-object_created
- AWS region
- us-east-1
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How to cite
EMBER Modeling Files was accessed on DATE from https://registry.opendata.aws/epa-ember .
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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