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DOI10.1029/2020JD034242
Identifying the Drivers of Modeling Uncertainties in Isoprene Emissions: Schemes Versus Meteorological Forcings
Cao Y.; Yue X.; Lei Y.; Zhou H.; Liao H.; Song Y.; Bai J.; Yang Y.; Chen L.; Zhu J.; Ma Y.; Tian C.
发表日期2021
ISSN2169-897X
卷号126期号:18
英文摘要Isoprene dominates global biogenic volatile organic compounds and has significant impacts on atmospheric chemistry. Global simulations of isoprene emissions show large uncertainties in both the trend and interannual variability. Here, we explored the uncertainties of simulated isoprene emissions during 1982–2015 using the Yale Interactive terrestrial Biosphere model, which is implemented with two emission schemes (PS_BVOC and Model of Emissions of Gases and Aerosols from Nature [MEGAN]) and driven by two long-term reanalysis meteorology (WFDEI and Modern-Era Retrospective Analysis for Research and Applications [MERRA]). Model evaluations show that both PS_BVOC and MEGAN schemes capture reasonable spatial patterns of the global isoprene emissions. The averaged fluxes from simulations using two meteorological forcings show isoprene trends of 0.69 Tg C m2 a−1 with PS_BVOC scheme but −0.22 Tg C m2 a−1 with MEGAN scheme. Such opposite trend is mainly because PS_BVOC considers both CO2 fertilization and inhibition effects to isoprene while the MEGAN scheme implements CO2 inhibition effect alone. Meanwhile, the averaged fluxes from simulations using two schemes yield interannual variability of 1.59% with WFDEI and 2.06% with MERRA reanalyses. Such discrepancies are mainly attributed to the larger variability in MERRA data. On the global scale, differences in schemes are the main driver of uncertainties in isoprene trends. In contrast, differences in meteorological forcings dominate the uncertainties in the interannual variability of isoprene emissions. Our sensitivity experiments reveal the key sources of modeling uncertainties, which are vital for the improvement of parameterizations and future projections of isoprene emissions. © 2021. American Geophysical Union. All Rights Reserved.
英文关键词interannual variability; isoprene; MEGAN; trend; uncertainty
来源期刊Journal of Geophysical Research: Atmospheres
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/237010
作者单位Climate Change Research Center, Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology (NUIST), Nanjing, China; State Key Joint Laboratory of Environmental Simulation and Pollution Control, Department of Environmental Science, Peking University, Beijing, China; Key Laboratory for Middle Atmosphere and Global Environment Observation (LAGEO), IAP, CAS, Beijing, China
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Cao Y.,Yue X.,Lei Y.,et al. Identifying the Drivers of Modeling Uncertainties in Isoprene Emissions: Schemes Versus Meteorological Forcings[J],2021,126(18).
APA Cao Y..,Yue X..,Lei Y..,Zhou H..,Liao H..,...&Tian C..(2021).Identifying the Drivers of Modeling Uncertainties in Isoprene Emissions: Schemes Versus Meteorological Forcings.Journal of Geophysical Research: Atmospheres,126(18).
MLA Cao Y.,et al."Identifying the Drivers of Modeling Uncertainties in Isoprene Emissions: Schemes Versus Meteorological Forcings".Journal of Geophysical Research: Atmospheres 126.18(2021).
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