Open data
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Deployed on AWS
The data are part of the 2022 Modeling Platform used to support regulatory actions and technical analyses conducted by the EPA's Office of State Air Partnerships (OSAP). Specifically, this data includes Weather Research and Forecasting Model (v4.4.2) conducted at a 12-km resolution over the Continental United States (12US). MCIP-processed files and wrfcamx-processed (12US1 domain) are also available as part of this dataset to assist in the use of emissions processing and photochemical modeling. These files may be used in downstream applications to generate emissions, photochemical modeling, or dispersion modeling inputs. Additionally, lateral boundary condition files generated using GEOS-CF at 36-km with results translated from GEOS-Chem species available in GEOS-CF to CMAQ cb6/ae7. Simulations for boundary conditions covering the northern hemisphere are also provided. 12US2 lateral boundary condition files are also generated based on 36US3 CMAQ model run outputs. These si[...]
Overview
The data are part of the 2022 Modeling Platform used to support regulatory actions and technical analyses conducted by the EPA's Office of State Air Partnerships (OSAP). Specifically, this data includes Weather Research and Forecasting Model (v4.4.2) conducted at a 12-km resolution over the Continental United States (12US). MCIP-processed files and wrfcamx-processed (12US1 domain) are also available as part of this dataset to assist in the use of emissions processing and photochemical modeling. These files may be used in downstream applications to generate emissions, photochemical modeling, or dispersion modeling inputs. Additionally, lateral boundary condition files generated using GEOS-CF at 36-km with results translated from GEOS-Chem species available in GEOS-CF to CMAQ cb6/ae7. Simulations for boundary conditions covering the northern hemisphere are also provided. 12US2 lateral boundary condition files are also generated based on 36US3 CMAQ model run outputs. These simulations were conducted using CMAQ v5.4 and GEOS-Chem v14.0.1. 2022v1 CMAQ-ready emissions are provided for a 36km grid over North America (36US3) and two 12km grids (12SU1 and 12US2). In addition, 2022v1 CAMx-ready emissions are provided for a 12km grid over North America (12US2). See the documentation for pictures of the grids. The types of emissions data provided include point sources, nonpoint sources, mobiles sources, fires, lightning NOx, and biogenic emissions. Input files for computing biogenic emissions, lightning NOx emissions and bi-directional deposition inline within CMAQ are also provided. Ozone column and photolysis rate input files for CAMx model run are also provided. The related CMAQ and CAMx run scripts are also available now. One day sample outputs for CMAQ and CAMx on the 12US2 domain are also now available. README text files are included at multiple levels within the directory structure to explain files at that level. For more information about the emissions, see the below documentation or the 2022v1 web page: https://www.epa.gov/air-emissions-modeling/2022v1-emissions-modeling-platform
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
- The 2022 WRF output are stored as uncompressed netcdf/hdf5 formatted files in the /WRF directory. The 2022 MCIP output are stored as uncompressed netcdf/hdf5 formatted files in IOAPI format in the /MCIP directory. The wrfcamx files are stored as uncompressed netcdf files in the /wrfcamx directory. Information on the model projection and grid structure is contained in the header information of the netcdf file. The netcdf files can be opened and manipulated using software programs that can read and write netcdf formatted files (e.g. Fortran, R, Python). The WRF files are daily files containing hourly data beginning at 00UTC through 23UTC for each modeled day. For more information: https://www2.mmm.ucar.edu/wrf/users/ The MCIP files are daily files with multiple files for each day. For more information about what each MCIP file contains, please see the following GitHub entry: https://github.com/USEPA/CMAQ/blob/main/PREP/mcip/README.md For more information about what each wrfcamx file contains, please see the README file in the wrfcamx source code file available from Ramboll at: https://www.camx.com/getmedia/wrfcamx_v5.2.10Jan22.tgz The 2022v1 emissions data are stored as uncompressed netcdf files in the /emis directory. Year 2022 CMAQ-ready emissions are provided under the folder emis/2022hc_cb6_22m. Year 2022 CAMx-ready emissions are provided under the folder emis/CAMx. The 2022v1 12US2 boundary conditions are stored as uncompressed netecdf files in bcon/12US2_CMAQ_BCON and bcon/ HEMI_CMAQ_12US2_CAMxBC. The 2022v1 12US2 and 36US3 EPIC data are stored as uncompressed netecdf files in CMAQ_ancillary_inputs/EPIC. The 2022v1 12US2 and 36US3 lightning data are stored as uncompressed netecdf files in CMAQ_ancillary_inputs/Lightning_data. The 2022v1 12US2 and 36US3 ozone column data as uncompressed txt files in CAMx_ancillary_inputs/ozone_col. The 2022v1 12US2 and 36US3 photolysis rate data are stored as uncompressed files in CAMx_ancillary_inputs/photolysis_rate. The 2022v1 12US2 and 36US3 model run scripts are stored in Model_jobs/.
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::epa-2022-modeling-platform
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://epa-2022-modeling-platform/
- Description
- Notification for the 2022 Modeling Platform bucket
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-east-1:127085394039:epa-2022-modeling-platform-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
OSAP 2022 Modeling Platform was accessed on DATE from https://registry.opendata.aws/epa-2022-modeling-platform .
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 hourly outputs from the Weather Research and Forecasting (WRF) model generated by the EPA's Office of State Air Partnerships (OSAP), Air Quality Assessment Division, Air Quality Modeling Branch. These data were generated at a 12-km resolution over the Continental United States (12US), beginning for the year 2021 and continuing annually through 2023. These files are intended for use in a broad range of air quality applications, but specifically may be used in dispersion modeling applications that would benefit from the use of the Mesoscale Model Interface (MMIF) tool (https://www.epa.gov/scram/air-quality-dispersion-modeling-related-model-support-programs#mmif) which translates prognostic meteorological data into formats suitable for use with AERMOD, CALPUFF, or SCICHEM. The individual files are less than 1GB in size, which allows for the use of the MMIF tool in a Windows environment. These data are anticipated to be updated annually so the 3 most-recent years are av[...]