Title of Dataset: Effects of Non-Photosynthetic Vegetation on Dust Emissions
Author(s): Xinyue Huang, Hosein Foroutan
Corresponding Author Email Address: hosein@vt.edu
Categories: 0401 Atmospheric Sciences
Group: Department of Civil and Environmental Engineering 
Item Type: Dataset
Keywords: dust, vegetation, PV, NPV, CMAQ, FPAR 
Description: This data repository contains the simulated soil concentrations from CMAQ model paired with observations from the IMPROVE network. Results from two CMAQ simulations are included, namely the TOTAL run and the FPAR run. The documentation of the CMAQ version 5.3 used in this study is available at https://www.epa.gov/cmaq/cmaq-documentation, and the model source code is freely available via https://github.com/usepa/cmaq. Details about the model configuration and inputs are described in the associated paper or can be found at Appel et al. (2021).
Funding: This work was supported by the United States Environmental Protection Agency (US EPA) under the Grant NO. 68HERC20Q0015 and by the National Aeronautics and Space Administration (NASA) under the Grant No. 80NSSC20K1532.
License: CC-0
Publisher: University Libraries, Virginia Tech
Language: English
Location: Conterminous United States
Files/Folders in Dataset and Description of Files 
IMPROVE_2016_CONUS_fpar.csv – Paired CMAQ simulations with the MODIS FPAR vegetation dataset and observations from the IMPROVE sites over conterminous United States during 2016. 
IMPROVE_2016_CONUS_npv.csv – Paired CMAQ simulations with the SMA derived total vegetation dataset and observations from the IMPROVE sites over conterminous United States during 2016.