ACONC files containing simulated ozone and PM2.5 fields that were used to create the model difference plots shown in the journal article. This dataset is associated with the following publication: Appel, W., S. Napelenok, K. Foley, H. Pye, C. Hogrefe, D. Luecken, J. Bash, S. Roselle, J. Pleim, H. Foroutan, B. Hutzell, G. Pouliot, G. Sarwar, K. Fahey, B. Gantt, D. Kang, R. Mathur, D. Schwede, T. Spero, D. Wong, J. Young, and N. Heath. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1. Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau, GERMANY, 10: 1703-1732, (2017).

CMAQv5.1 Base NEIv1 AQS hourly sitex files containing hourly paired model/ob data for the AQS network. This dataset is associated with the following publication: Appel, W., S. Napelenok, K. Foley, H. Pye, C. Hogrefe, D. Luecken, J. Bash, S. Roselle, J. Pleim, H. Foroutan, B. Hutzell, G. Pouliot, G. Sarwar, K. Fahey, B. Gantt, D. Kang, R. Mathur, D. Schwede, T. Spero, D. Wong, J. Young, and N. Heath. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1. Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau, GERMANY, 10: 1703-1732, (2017).

Data used to produce figures for the manuscript. This dataset is associated with the following publication: Jalowska, A., and T. Spero. Developing PIDF Curves From Dynamically Downscaled WRF Model Fields to Examine Extreme Precipitation Events in Three Eastern U.S. Metropolitan Areas. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 124(24): 13895-13913, (2019).

The document in this data set lists the links to both the released version of the MPAS code, the modified MPAS code and the observational datasets used to evaluate the model updates presented in the publication. High resolution global model output is large and exceeded the limitations of this archive by several orders of magnitude. Thus the document also contains instructions on where the data resides, the data format, and how to obtain these data. This dataset is associated with the following publication: Campbell, P., J. Bash, J. Herwehe, and R. Gilliam. Impacts of tiled land cover characterization in the Model for Predictions Across Scales-Atmosphere (MPAS-A). JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 125(15): e2019JD032093, (2020).

Monthly site compare scripts and output used to generate the model/ob plots and statistics in the manuscript. The AQS hourly site compare output files are not included as they were too large to store on ScienceHub. The files contain paired model/ob values for the various air quality networks. This dataset is associated with the following publication: Appel, W., S. Napelenok, K. Foley, H. Pye, C. Hogrefe, D. Luecken, J. Bash, S. Roselle, J. Pleim, H. Foroutan, B. Hutzell, G. Pouliot, G. Sarwar, K. Fahey, B. Gantt, D. Kang, R. Mathur, D. Schwede, T. Spero, D. Wong, J. Young, and N. Heath. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1. Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau, GERMANY, 10: 1703-1732, (2017).

This dataset contains WRF model output. There are three months of data: July 2012, July 2013, and January 2013. For each month, several simulations were made: A control and two lightning assimilation runs using different suppression techniques. For July 2012, and additional simulation was made with a third suppression technique. Please refer to the manuscript for a full description of each simulation. This dataset is not publicly accessible because: The files are too large. It can be accessed through the following means: The data can be accessed through NCC's tape archival storage system (ASM) or by contacting the author. Format: WRF model output for July 2012, July 2013, and January 2013. This dataset is associated with the following publication: Heath, N., J. Pleim, R. Gilliam, and D. Kang. A simple lightning assimilation technique for improving retrospective WRF simulations.. Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 8(4): 1806-1824, (2016).