Articles | Volume 14, issue 10
https://doi.org/10.5194/gmd-14-6155-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-6155-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
13 Oct 2021
Model description paper |
| 13 Oct 2021
| 13 Oct 2021
Modeling sensitivities of BVOCs to different versions of MEGAN emission schemes in WRF-Chem (v3.6) and its impacts over eastern China
Mingshuai Zhang
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, China
Chun Zhao
CORRESPONDING AUTHOR
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, China
CAS Center for Excellence in Comparative Planetology, University of Science and Technology of China, Hefei, China
Frontiers Science Center for Planetary Exploration and Emerging
Technologies, University of Science and Technology of China, Hefei, China
Yuhan Yang
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, China
Qiuyan Du
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, China
Yonglin Shen
School of Geography and Information Engineering, China University of
Geosciences, Wuhan 430074, China
Shengfu Lin
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, China
Division of Environment and Sustainability, Hong Kong University of
Science and Technology, Clear Water Bay, Hong Kong SAR, China
Wenjing Su
Department of Environmental Science and Engineering, University of
Science and Technology of China, Hefei, China
Cheng Liu
Department of Precision Machinery and Precision Instrument, University
of Science and Technology of China, Hefei, China
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Cited
17 citations as recorded by crossref.
- Analysis of the effect of abiotic stressors on BVOC emissions from urban green infrastructure in northern Germany J. Feldner et al. 10.1039/D2EA00038E
- Tree species classification improves the estimation of BVOCs from urban greenspace X. Bao et al. 10.1016/j.scitotenv.2023.169762
- Current status of model predictions of volatile organic compounds and impacts on surface ozone predictions during summer in China Y. She et al. 10.5194/acp-24-219-2024
- Exploring the role of aerosol-ozone interactions on O3 surge and PM2.5 decline during the clean air action period in Eastern China 2014–2020 Y. Li et al. 10.1016/j.atmosres.2024.107294
- Attribution of surface ozone to NOx and volatile organic compound sources during two different high ozone events A. Lupaşcu et al. 10.5194/acp-22-11675-2022
- Ambient formaldehyde and mortality: A time series analysis in China J. Ban et al. 10.1126/sciadv.abm4097
- Impact of Climate-Driven Land-Use Change on O3 and PM Pollution by Driving BVOC Emissions in China in 2050 S. Liu et al. 10.3390/atmos13071086
- The sensitivity of simulated aerosol climatic impact to domain size using regional model (WRF-Chem v3.6) X. Wang et al. 10.5194/gmd-15-199-2022
- Process-Level Quantification on Opposite PM2.5 Changes during the COVID-19 Lockdown over the North China Plain L. Chen et al. 10.1021/acs.estlett.3c00490
- Comparison and evaluation of updates to WRF-Chem (v3.9) biogenic emissions using MEGAN M. Morichetti et al. 10.5194/gmd-15-6311-2022
- Investigation of biogenic volatile organic compounds emissions in the Qinghai-Tibetan Plateau L. Wang et al. 10.1016/j.scitotenv.2023.165877
- Localized biogenic volatile organic compound emission inventory in China: A comprehensive review L. Li et al. 10.1016/j.jenvman.2024.120121
- Enhanced summertime ozone and SOA from biogenic volatile organic compound (BVOC) emissions due to vegetation biomass variability during 1981–2018 in China J. Cao et al. 10.5194/acp-22-2351-2022
- Seasonal Characteristics of Forecasting Uncertainties in Surface PM2.5 Concentration Associated with Forecast Lead Time over the Beijing-Tianjin-Hebei Region Q. Du et al. 10.1007/s00376-023-3060-3
- The Effect of Land Use Classification on the Gas‐Phase and Particle Composition of the Troposphere: Tree Species Versus Forest Type Information M. Luttkus et al. 10.1029/2021JD035305
- Updated isoprene and terpene emission factors for the Interactive BVOC (iBVOC) emission scheme in the United Kingdom Earth System Model (UKESM1.0) J. Weber et al. 10.5194/gmd-16-3083-2023
- Investigating the mechanisms driving the seasonal variations in surface PM<sub>2.5</sub> concentrations over East Africa with the WRF-Chem model N. Idrissa et al. 10.52396/JUSTC-2022-0142
16 citations as recorded by crossref.
- Analysis of the effect of abiotic stressors on BVOC emissions from urban green infrastructure in northern Germany J. Feldner et al. 10.1039/D2EA00038E
- Tree species classification improves the estimation of BVOCs from urban greenspace X. Bao et al. 10.1016/j.scitotenv.2023.169762
- Current status of model predictions of volatile organic compounds and impacts on surface ozone predictions during summer in China Y. She et al. 10.5194/acp-24-219-2024
- Exploring the role of aerosol-ozone interactions on O3 surge and PM2.5 decline during the clean air action period in Eastern China 2014–2020 Y. Li et al. 10.1016/j.atmosres.2024.107294
- Attribution of surface ozone to NOx and volatile organic compound sources during two different high ozone events A. Lupaşcu et al. 10.5194/acp-22-11675-2022
- Ambient formaldehyde and mortality: A time series analysis in China J. Ban et al. 10.1126/sciadv.abm4097
- Impact of Climate-Driven Land-Use Change on O3 and PM Pollution by Driving BVOC Emissions in China in 2050 S. Liu et al. 10.3390/atmos13071086
- The sensitivity of simulated aerosol climatic impact to domain size using regional model (WRF-Chem v3.6) X. Wang et al. 10.5194/gmd-15-199-2022
- Process-Level Quantification on Opposite PM2.5 Changes during the COVID-19 Lockdown over the North China Plain L. Chen et al. 10.1021/acs.estlett.3c00490
- Comparison and evaluation of updates to WRF-Chem (v3.9) biogenic emissions using MEGAN M. Morichetti et al. 10.5194/gmd-15-6311-2022
- Investigation of biogenic volatile organic compounds emissions in the Qinghai-Tibetan Plateau L. Wang et al. 10.1016/j.scitotenv.2023.165877
- Localized biogenic volatile organic compound emission inventory in China: A comprehensive review L. Li et al. 10.1016/j.jenvman.2024.120121
- Enhanced summertime ozone and SOA from biogenic volatile organic compound (BVOC) emissions due to vegetation biomass variability during 1981–2018 in China J. Cao et al. 10.5194/acp-22-2351-2022
- Seasonal Characteristics of Forecasting Uncertainties in Surface PM2.5 Concentration Associated with Forecast Lead Time over the Beijing-Tianjin-Hebei Region Q. Du et al. 10.1007/s00376-023-3060-3
- The Effect of Land Use Classification on the Gas‐Phase and Particle Composition of the Troposphere: Tree Species Versus Forest Type Information M. Luttkus et al. 10.1029/2021JD035305
- Updated isoprene and terpene emission factors for the Interactive BVOC (iBVOC) emission scheme in the United Kingdom Earth System Model (UKESM1.0) J. Weber et al. 10.5194/gmd-16-3083-2023
Latest update: 16 Apr 2024
Short summary
Biogenic volatile organic compounds (BVOCs) can influence atmospheric chemistry and secondary pollutant formation. This study examines the performance of different versions of the Model of Emissions of Gases and Aerosols from Nature (MEGAN) in modeling BVOCs and ozone and their sensitivities to vegetation distributions over eastern China. The results suggest more accurate vegetation distribution and measurements of BVOC emission fluxes are needed to reduce the uncertainties.
Biogenic volatile organic compounds (BVOCs) can influence atmospheric chemistry and secondary...
