A zipped and tarred file which contains netCDF files needed to replicate all tables and figures shown in the referenced journal article. This dataset is associated with the following publication: Mallard, M., T. Spero, and S. Taylor. Examining WRF’s Sensitivity to Contemporary Land-Use Datasets across the Contiguous United States Using Dynamical Downscaling. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY. American Meteorological Society, Boston, MA, USA, 57(11): 2561-2583, (2018).

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011 and 2016. U.S. EPA leads the accuracy assessment of NLCD land cover products in coordination with USGS and SUNY-ESF. The posted dataset includes map labels and reference labels for 4629 sample locations (pixels) from the NLCD 2016 database. The sample pixels were selected using a stratified random design based on the dual 2011 – 2016 map labels. The data can be used to re-create the accuracy results reported in a forthcoming paper and in support of other applications. Accuracy results are reported for the 2011 and 2016 land cover products in the NLCD2016 database and for selected 2011-2006 changes.

This is a zip file with all data that were used to generate the figures and tables. The zip file contains a separate zip file for each figures/table. Those files have README metadata files that describe the figure/table datasets.

All figures used in the journal article are in netCDF format. This dataset is associated with the following publication: Sims, A., K. Alapaty , and S. Raman. Sensitivities of Summertime Mesoscale Circulations in the Coastal Carolinas to Modifications of the Kain–Fritsch Cumulus Parameterization. Monthly Weather Review. American Meteorological Society, Boston, MA, USA, 145(11): 4381-4399, (2017).

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).

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).