WRF-Chem model and IRR outputs in India during April in 2019 and 2020

Behrooz Roozitalab; Gregory R Carmichael; Sarath K. Guttikunda; Maryam Abdi-Oskouei

doi:10.25820/data.006144

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WRF-Chem model and IRR outputs in India during April in 2019 and 2020

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WRF-Chem model and IRR outputs in India during April in 2019 and 2020

Behrooz Roozitalab, Gregory R Carmichael, Sarath K. Guttikunda and Maryam Abdi-Oskouei

University of Iowa

09/19/2022

DOI: 10.25820/data.006144

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Abstract

Restriction around the world to confine the spread of COVID-19 virus (e.g. stay-at-home orders (i.e. lockdowns)) led to large reductions in activities such as transportation. As a result, large reductions in air pollutant emissions were observed around the world. In this study, we used WRF-Chem model to study the lockdown period in India, which was in April 2020. Specifically, we studied the changes in air quality between April 2019 and April 2020 and the roles that different meteorology and emissions played. Four scenarios were designed to study these factors (2019BAU, 2019COVID, 2020BAU, 2020COVID). We also studied the ozone formation chemistry in India using the Integrated Reaction Rates (IRR) module in WRF-Chem. This dataset includes the surface-level simulation results for these four scenarios accompanied by the IRR outputs for two days (13 March and 7 April), that were discussed in the manuscript.

Air Pollution

Air Quality

Ozone

COVID-19

WRF-Chem

PM2.5

ozone formation

Integrated Reaction Rates

COVID-19 lockdown

air pollution emissions

Details

Title: Subtitle: WRF-Chem model and IRR outputs in India during April in 2019 and 2020
Creators: Behrooz Roozitalab - University of Iowa
Gregory R Carmichael - University of Iowa, Civil and Environmental Engineering
Sarath K. Guttikunda
Maryam Abdi-Oskouei - University Corporation for Atmospheric Research
Contributors: Brian Westra (Data Curator) - University of Iowa, Humanities and Social Sciences/Scholarly Impact
Resource Type: Dataset
Publisher: University of Iowa
DOI: 10.25820/data.006144
Grants: NNX16AQ19G, National Aeronautics and Space Administration (United States, Washington) - NASA
The Changing Atmosphere in North America for 2000 - 2020: High-resolution modeling and satellite analysis, 80NSSC19K0946, National Aeronautics and Space Administration (United States, Washington) - NASA
Comment: This dataset only includes data for two sample days and are based on HTAP anthropogenic emission inventory. Please contact the authors if you are interested to use all the data or data based on CEDS emission inventory.
Language: English
Date collected: 04/01/2019 - 05/01/2019
Date published: 09/19/2022
Date updated: 09/19/2022
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; Humanities and Social Sciences/Scholarly Impact
Record Identifier: 9984080900302771

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WRF-Chem model and IRR outputs in India during April in 2019 and 2020

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