Dataset
WRF-Chem model outputs of surface PM2.5 concentrations in India during November 2017
University of Iowa
2020
DOI: 10.25820/data.006126
Abstract
Northern India experienced an extreme air pollution episode in November 2017. We used WRF-Chem model to simulate this episode. In order to capture PM2.5 (fine particulate matter with aerodynamic diameter less than 2.5 µm) peaks, we modified input chemical boundary conditions and biomass burning emissions using a set of experiments. This dataset includes the simulation results for the base scenario surface PM2.5 concentrations, which showed the best statistics when evaluated against different observation and satellite retrievals data. In base scenario, we incorporated CAM-Chem and MERRA-2 global models as gaseous and aerosol chemical boundary conditions, respectively. We also incorporated VIIRS active fire points to fill missing fire emissions in FINN and scaled by a factor of seven for an 8-days period.
Details
- Title: Subtitle
- WRF-Chem model outputs of surface PM2.5 concentrations in India during November 2017
- Creators
- Behrooz Roozitalab - University of IowaGregory R Carmichael - University of Iowa, Civil and Environmental EngineeringSarath K. Guttikunda
- Resource Type
- Dataset
- Resource Sub-type
- Data
- Publisher
- University of Iowa
- DOI
- 10.25820/data.006126
- Grants
- NNX16AQ19G, National Aeronautics and Space Administration (United States, Washington) - NASAThe Changing Atmosphere in North America for 2000 - 2020: High-resolution modeling and satellite analysis, 80NSSC19K0946, National Aeronautics and Space Administration (United States, Washington) - NASA
- Language
- English
- Date published
- 2020
- Description methods
- WRF-Chem is an open-access model which can be acquired at: https://www2.mmm.ucar.edu/wrf/users/downloads.html. - NetCDF (Network Common Data Form) is a set of software libraries and machine-independent data formats and publicly available at https://www.unidata.ucar.edu/software/netcdf/.
- Academic Unit
- Chemical and Biochemical Engineering; Civil and Environmental Engineering; Nursing
- Record Identifier
- 9983956200302771
Metrics
39 File views/ downloads
406 Record Views