Data and Tools
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FY2016 State Clean Diesel (Diesel Emissions Reduction Act) Program Programmatic Terms and Conditions
Fiscal Year 2016 program specific terms and conditions for State Clean Diesel.
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ICLUS Data for the Northwest Region (V.1)
National Climate Assessment: Version 1 Datasets available from this page cover the Northwest region. All data are compatible with standard Geographic Information Systems (GIS).
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ICLUS Data for the Northwest Region
Version 2 Datasets available from this page cover the Northwest region. All data are compatible with standard Geographic Information Systems (GIS).
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ICLUS Data for the Northern Plains Region
Version 2 Datasets available from this page cover the Northwest region. All data are compatible with standard Geographic Information Systems (GIS).
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ICLUS Fourth National Climate Assessment
Datasets available from this page cover the entire continental United States. All data are compatible with standard Geographic Information Systems (GIS).
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ICLUS Data for the Southwest Region (V.1)
Version 1 Datasets available from this page cover the Southwest region. All data are compatible with standard Geographic Information Systems (GIS).
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ICLUS Data for the Midwest Region (V.1)
Version 1 Datasets available from this page cover the Southwest region. All data are compatible with standard Geographic Information Systems (GIS).
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ICLUS Data for the Southern Plains Region
Version 2 Datasets available from this page cover the Southern Plains region. All data are compatible with standard Geographic Information Systems (GIS).
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ICLUS Data for the Northeast Region (V.1)
Version 1 Datasets available from this page cover the Northeast region. All data are compatible with standard Geographic Information Systems (GIS).
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ICLUS Data for the Southeast Region (V.1)
Version 1 Datasets available from this page cover the Southeast region. All data are compatible with standard Geographic Information Systems (GIS).
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ICLUS Data for the Great Plains Region (V.1)
Datasets available from this page cover the Southwest region. All data are compatible with standard Geographic Information Systems (GIS).
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RPS Publications & Citing RPS
Relevant publications about RPS
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RPS Goals and Benefits
This page describes EPA involvement for recovery potential screeinng
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EPA's 7th Drinking Water Infrastructure Needs Survey and Assessment
The United States Environmental Protection Agency’s (EPA’s) Drinking Water Infrastructure Needs Survey and Assessment (DWINSA) is used to determine the financial needs of the nation’s drinking water infrastructure over the next twenty years.
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Expert Query Updates
Release update notes for Expert Query
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EPA Presentation Regarding the Advanced Light-Duty Powertrain and Hybrid Analysis (ALPHA) Tool
This page contains a selection of the presentations that EPA has publicly presented about our work on the Midterm Evaluation (MTE). It highlights EPA's benchmarking and modeling activities relating to light duty greenhouse gas (GHG) emissions.
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“Characterizing Factors Influencing SI Engine Transient Fuel Consumption for Vehicle Simulation in ALPHA,” SAE Technical Paper 2017-01-0533, 2017, doi:10.4271/2017-01-0533, Dekraker, P., Stuhldreher, M., Kim, Y. (SwRI).
This paper examines a) typical transient engine operation encountered over the EPA city and highway drive cycles, b) EPA’s vehicle and engine testing to characterize that transient fuel usage, and c) changes made to ALPHA to better model transient engine
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“Fleet-Level Modeling of Real World Factors Influencing Greenhouse Gas Emission Simulation in ALPHA,” SAE Technical Paper 2017-01-0899, 2017, doi:10.4271/2017-01-0899, Dekraker, P., Kargul, J., Moskalik, A., Newman, K., Doorlag, M., Barba, D.
This paper presents an overview of the laboratory bench marking that was done to support validation of greenhouse gas emission simulation in ALPHA model.
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Map Services
These geospatial data and corresponding cartographic materials have been approved for use by the U.S. Environmental Protection Agency (EPA) as advised by the EPA Geospatial Advisory Committee (EGAC).
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Data Download
The database will produce a .csv spreadsheet with registration numbers, product name, pc code, active ingredients, registration date range, and a combination of PULA metadata.