The Western States Air Partnership and their consultant Ramboll Corporation perform photochemical air quality modeling simulations to evaluate emissions sources that contribute to regional haze at Class I areas. Complete model input and output datasets (many terrabytes of data on hard drives) are available through the Intermountain West Data Warehouse. A summary of the key modeling results used in the publications is included in a spreadsheet. Citation information for this dataset can be found in Data.gov's References section.

This dataset includes photochemical air quality modeling files for simulations of fire impacts on ground-level ozone cocnentrations in the U.S. during the summer of 2023. A data dictionary describes what is included in the each of the files. Detailed information on the model simulations and the file contents is included in a journal article documenting the dataset: Simon, H., Beidler, J., Baker, K.R., Henderson, B.H., Fox, L., Misenis, C., Campbell, P., Vukovich, J. Possiel, N., Eyth, E. Expediated Modeling of Burn Events Results (EMBER): A Screening-Level Dataset of 2023 Ozone Fire Impacts in the US, Data in Brief, https://doi.org/10.1016/j.dib.2024.111208 A web-based tool for browsing this dataset is also available at: https://www.epa.gov/air-quality-analysis/expedited-modeling-burn-events-results-ember. This dataset is associated with the following publication: Simon, H., J. Beidler, K. Baker, B. Henderson, L. Fox, C. Misenis, P. Campbell, J. Vukovich, N. Possiel, and A. Eyth. Expediated Modeling of Burn Events Results (EMBER): A Screening-Level Dataset of 2023 Ozone Fire Impacts in the US. Data in Brief. Elsevier B.V., Amsterdam, NETHERLANDS, 58: 111208, (2025).

The data sets includes the data used to generate the figures presented in the manuscript. Each worksheet in the attached file provides data for a specific figure (as labeled). This dataset is associated with the following publication: Zhou, L., K. Baker, S. Napelenok, G. Pouliot, R. Elleman, S. O'Neill, S. Urbanski, and D. Wong. Modeling crop residue burning experiments to evaluate smoke emissions and plume transport. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 627: 523-533, (2018).

a study about wild fire in the US in 2016. This dataset is not publicly accessible because: too large to be uploaded. It can be accessed through the following means: please contact David Wong at wong.david-c@epa.gov. Format: newftp.epa.gov/EPADataCommons/ORD/CEMM-AESMD/DavidWong/July2020. This dataset is associated with the following publication: Guan, S., D. Wong, Y. Gao, T. Zhang, and G. Pouliot. Impact of wildfire on particulate matter in the southeastern United States in November 2016. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 724(1): 138354, (2020).

a study about wild fire in the US in 2016. This dataset is not publicly accessible because: too large to be uploaded. It can be accessed through the following means: please contact David Wong at wong.david-c@epa.gov. Format: newftp.epa.gov/EPADataCommons/ORD/CEMM-AESMD/DavidWong/July2020. This dataset is associated with the following publication: Guan, S., D. Wong, Y. Gao, T. Zhang, and G. Pouliot. Impact of wildfire on particulate matter in the southeastern United States in November 2016. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 724(1): 138354, (2020).

Dataset used to generate the figures and tables in manuscript describing the particulate Pb emission factors from wildland fires in the United States. This dataset is associated with the following publication: Holder, A., V. Rao, K. Kovalcik, and P. Virtaranta. Particulate Pb emission factors from wildland fires in the United States. Atmospheric Environment: X. Elsevier B.V., Amsterdam, NETHERLANDS, 0, (2023).

Many of these data files are essentially grid numbers for raster images that were created by software visualizing clouds of air emissions rather than x-y coordinates like you would plot in Excel or a similar software package. The data dictionary describes the data file contents. This dataset is associated with the following publication: Baker, K., S. Lee, P. Lemieux, S. Hudson, B. Murphy, J. Bash, S. Koplitz, K. Nguyen, W.M. Hao, S. Baker, and E. Lincoln. Predicting wildfire particulate matter and hypothetical re-emission of radiological Cs-137 contamination incidents. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 795: 148872, (2021).

Many of these data files are essentially grid numbers for raster images that were created by software visualizing clouds of air emissions rather than x-y coordinates like you would plot in Excel or a similar software package. The data dictionary describes the data file contents. This dataset is associated with the following publication: Baker, K., S. Lee, P. Lemieux, S. Hudson, B. Murphy, J. Bash, S. Koplitz, K. Nguyen, W.M. Hao, S. Baker, and E. Lincoln. Predicting wildfire particulate matter and hypothetical re-emission of radiological Cs-137 contamination incidents. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 795: 148872, (2021).

This dataset contains the underlying data for the evaluation of a 5 year CMAQ simulation with and without fires. The pollutant evaluated in the journal article is PM2.5. Daily Average concentrations of PM2.5 from two 5 year CMAQ simulations are included. Area burned on a daily basis is also included. Finally model and observed paired CSV files of PM2.5 are included for the 5 year simulation from the IMPROVE and CSN networks. Datasets are in several formats including netCDF (tar and zipped), csv (tar and zipped), and Excel. This dataset is associated with the following publication: Wilkins, J., G. Pouliot, K. Foley, W. Appel, and T. Pierce. The impact of US wildland fires on ozone and particulate matter: a comparison of measurements and CMAQ model predictions from 2008 to 2012. International Journal of Wildland Fire. CSIRO Publishing, Collingwood Victoria, AUSTRALIA, 27(10): 684-698, (2018).

산림청에서 제공하는 산불발생위치, 날짜, 시간, 발생원인에 대한 산불통계정보를 조회한다.산불발생일시, 진화종료일시, 주소, 발생원인, 피해면적(ha)