Articles | Volume 22, issue 2
https://doi.org/10.5194/acp-22-765-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-765-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Jan 2022
Research article |
| 18 Jan 2022
| 18 Jan 2022
Effects of ozone–vegetation interactions on meteorology and air quality in China using a two-way coupled land–atmosphere model
Jiachen Zhu
Department of Geography and Resource Management, The Chinese
University of Hong Kong, Sha Tin, N. T., Hong Kong, China
Earth System Science Programme, The Chinese University of Hong Kong, Sha Tin, N. T., Hong Kong, China
Asian School of the Environment, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore
Lee Kong Chian School of Medicine, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore
Earth Observatory of Singapore, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore
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Atmos. Chem. Phys., 25, 8613–8635, https://doi.org/10.5194/acp-25-8613-2025, https://doi.org/10.5194/acp-25-8613-2025, 2025
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Vegetation removes tropospheric ozone through stomatal uptake, and accurately modeling the stomatal uptake of ozone is important for modeling dry deposition and air quality. We evaluated the stomatal component of ozone dry deposition modeled by atmospheric chemistry models at six sites. We find that models and observation-based estimates agree at times during the growing season at all sites, but some models overestimated the stomatal component during the dry summers at a seasonally dry site.
Tiangang Yuan, Tzung-May Fu, Aoxing Zhang, David H. Y. Yung, Jin Wu, Sien Li, and Amos P. K. Tai
Atmos. Chem. Phys., 25, 4211–4232, https://doi.org/10.5194/acp-25-4211-2025, https://doi.org/10.5194/acp-25-4211-2025, 2025
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This study utilizes a regional climate–air quality coupled model to first investigate the complex interaction between irrigation, climate and air quality in China. We found that large-scale irrigation practices reduce summertime surface ozone while raising secondary inorganic aerosol concentration via complicated physical and chemical processes. Our results emphasize the importance of making a tradeoff between air pollution controls and sustainable agricultural development.
Biao Luo, Lei Liu, David H. Y. Yung, Tiangang Yuan, Jingwei Zhang, Leo T. H. Ng, and Amos P. K. Tai
EGUsphere, https://doi.org/10.5194/egusphere-2025-72, https://doi.org/10.5194/egusphere-2025-72, 2025
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Through a combination of emission models and air quality model, we aimed to address the pressing issue of poor nitrogen management while promoting sustainable food systems and public health in China. We discovered that improving nitrogen management of crop and livestock can substantially reduce air pollutant emissions, particularly in North China Plain. Our findings further provide the benefits of such interventions on PM2.5 reductions, offering valuable insights for policymakers.
Hemraj Bhattarai, Maria Val Martin, Stephen Sitch, David H. Y. Yung, and Amos P. K. Tai
EGUsphere, https://doi.org/10.5194/egusphere-2025-804, https://doi.org/10.5194/egusphere-2025-804, 2025
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Wildfires are becoming more frequent and severe due to climate change, posing various risks. We explore how future climate conditions will influence global wildfire activity and carbon emissions by 2100. Using advanced computer modeling, we found that while some regions remain stable, boreal forests will see a major rise in burned area and emissions. These changes are driven by drier conditions and increased vegetation growth, highlighting the urgent need for better fire management strategies.
Amos P. K. Tai, Lina Luo, and Biao Luo
Atmos. Chem. Phys., 25, 923–941, https://doi.org/10.5194/acp-25-923-2025, https://doi.org/10.5194/acp-25-923-2025, 2025
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We discuss our current understanding of and knowledge gaps in how agriculture and food systems affect air quality and how agricultural emissions can be mitigated. We argue that scientists need to address these gaps, especially as the importance of fossil fuel emissions is fading. This will help guide food-system transformation in economically viable, socially inclusive, and environmentally responsible ways and is essential to help society achieve sustainable development.
Amos P. K. Tai, David H. Y. Yung, and Timothy Lam
Geosci. Model Dev., 17, 3733–3764, https://doi.org/10.5194/gmd-17-3733-2024, https://doi.org/10.5194/gmd-17-3733-2024, 2024
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We have developed the Terrestrial Ecosystem Model in R (TEMIR), which simulates plant carbon and pollutant uptake and predicts their response to varying atmospheric conditions. This model is designed to couple with an atmospheric chemistry model so that questions related to plant–atmosphere interactions, such as the effects of climate change, rising CO2, and ozone pollution on forest carbon uptake, can be addressed. The model has been well validated with both ground and satellite observations.
Zhiyuan Li, Kin-Fai Ho, Harry Fung Lee, and Steve Hung Lam Yim
Atmos. Chem. Phys., 24, 649–661, https://doi.org/10.5194/acp-24-649-2024, https://doi.org/10.5194/acp-24-649-2024, 2024
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This study developed an integrated model framework for accurate multi-air-pollutant exposure assessments in high-density and high-rise cities. Following the proposed integrated model framework, we established multi-air-pollutant exposure models for four major PM10 chemical species as well as four criteria air pollutants with R2 values ranging from 0.73 to 0.93. The proposed framework serves as an important tool for combined exposure assessment in epidemiological studies.
Jia Mao, Amos P. K. Tai, David H. Y. Yung, Tiangang Yuan, Kong T. Chau, and Zhaozhong Feng
Atmos. Chem. Phys., 24, 345–366, https://doi.org/10.5194/acp-24-345-2024, https://doi.org/10.5194/acp-24-345-2024, 2024
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Surface ozone (O3) is well-known for posing great threats to both human health and agriculture worldwide. However, a multidecadal assessment of the impacts of O3 on public health and agriculture in China is lacking without sufficient O3 observations. We used a hybrid approach combining a chemical transport model and machine learning to provide a robust dataset of O3 concentrations over the past 4 decades in China, thereby filling the gap in the long-term O3 trend and impact assessment in China.
Maria Val Martin, Elena Blanc-Betes, Ka Ming Fung, Euripides P. Kantzas, Ilsa B. Kantola, Isabella Chiaravalloti, Lyla L. Taylor, Louisa K. Emmons, William R. Wieder, Noah J. Planavsky, Michael D. Masters, Evan H. DeLucia, Amos P. K. Tai, and David J. Beerling
Geosci. Model Dev., 16, 5783–5801, https://doi.org/10.5194/gmd-16-5783-2023, https://doi.org/10.5194/gmd-16-5783-2023, 2023
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Enhanced rock weathering (ERW) is a CO2 removal strategy that involves applying crushed rocks (e.g., basalt) to agricultural soils. However, unintended processes within the N cycle due to soil pH changes may affect the climate benefits of C sequestration. ERW could drive changes in soil emissions of non-CO2 GHGs (N2O) and trace gases (NO and NH3) that may affect air quality. We present a new improved N cycling scheme for the land model (CLM5) to evaluate ERW effects on soil gas N emissions.
Olivia E. Clifton, Donna Schwede, Christian Hogrefe, Jesse O. Bash, Sam Bland, Philip Cheung, Mhairi Coyle, Lisa Emberson, Johannes Flemming, Erick Fredj, Stefano Galmarini, Laurens Ganzeveld, Orestis Gazetas, Ignacio Goded, Christopher D. Holmes, László Horváth, Vincent Huijnen, Qian Li, Paul A. Makar, Ivan Mammarella, Giovanni Manca, J. William Munger, Juan L. Pérez-Camanyo, Jonathan Pleim, Limei Ran, Roberto San Jose, Sam J. Silva, Ralf Staebler, Shihan Sun, Amos P. K. Tai, Eran Tas, Timo Vesala, Tamás Weidinger, Zhiyong Wu, and Leiming Zhang
Atmos. Chem. Phys., 23, 9911–9961, https://doi.org/10.5194/acp-23-9911-2023, https://doi.org/10.5194/acp-23-9911-2023, 2023
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A primary sink of air pollutants is dry deposition. Dry deposition estimates differ across the models used to simulate atmospheric chemistry. Here, we introduce an effort to examine dry deposition schemes from atmospheric chemistry models. We provide our approach’s rationale, document the schemes, and describe datasets used to drive and evaluate the schemes. We also launch the analysis of results by evaluating against observations and identifying the processes leading to model–model differences.
Joey C. Y. Lam, Amos P. K. Tai, Jason A. Ducker, and Christopher D. Holmes
Geosci. Model Dev., 16, 2323–2342, https://doi.org/10.5194/gmd-16-2323-2023, https://doi.org/10.5194/gmd-16-2323-2023, 2023
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We developed a new component within an atmospheric chemistry model to better simulate plant ecophysiological processes relevant for ozone air quality. We showed that it reduces simulated biases in plant uptake of ozone in prior models. The new model enables us to explore how future climatic changes affect air quality via affecting plants, examine ozone–vegetation interactions and feedbacks, and evaluate the impacts of changing atmospheric chemistry and climate on vegetation productivity.
Yuxuan Wang, Nan Lin, Wei Li, Alex Guenther, Joey C. Y. Lam, Amos P. K. Tai, Mark J. Potosnak, and Roger Seco
Atmos. Chem. Phys., 22, 14189–14208, https://doi.org/10.5194/acp-22-14189-2022, https://doi.org/10.5194/acp-22-14189-2022, 2022
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Shihan Sun, Amos P. K. Tai, David H. Y. Yung, Anthony Y. H. Wong, Jason A. Ducker, and Christopher D. Holmes
Biogeosciences, 19, 1753–1776, https://doi.org/10.5194/bg-19-1753-2022, https://doi.org/10.5194/bg-19-1753-2022, 2022
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Biogeosciences, 19, 1635–1655, https://doi.org/10.5194/bg-19-1635-2022, https://doi.org/10.5194/bg-19-1635-2022, 2022
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Qingqing He, Mengya Wang, and Steve Hung Lam Yim
Atmos. Chem. Phys., 21, 18375–18391, https://doi.org/10.5194/acp-21-18375-2021, https://doi.org/10.5194/acp-21-18375-2021, 2021
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Xueying Liu, Amos P. K. Tai, and Ka Ming Fung
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Jianping Guo, Jian Zhang, Kun Yang, Hong Liao, Shaodong Zhang, Kaiming Huang, Yanmin Lv, Jia Shao, Tao Yu, Bing Tong, Jian Li, Tianning Su, Steve H. L. Yim, Ad Stoffelen, Panmao Zhai, and Xiaofeng Xu
Atmos. Chem. Phys., 21, 17079–17097, https://doi.org/10.5194/acp-21-17079-2021, https://doi.org/10.5194/acp-21-17079-2021, 2021
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The planetary boundary layer (PBL) is the lowest part of the troposphere, and boundary layer height (BLH) is the depth of the PBL and is of critical importance to the dispersion of air pollution. The study presents the first near-global BLH climatology by using high-resolution (5-10 m) radiosonde measurements. The variations in BLH exhibit large spatial and temporal dependence, with a peak at 17:00 local solar time. The most promising reanalysis product is ERA-5 in terms of modeling BLH.
Zixia Liu, Martin Osborne, Karen Anderson, Jamie D. Shutler, Andy Wilson, Justin Langridge, Steve H. L. Yim, Hugh Coe, Suresh Babu, Sreedharan K. Satheesh, Paquita Zuidema, Tao Huang, Jack C. H. Cheng, and James Haywood
Atmos. Meas. Tech., 14, 6101–6118, https://doi.org/10.5194/amt-14-6101-2021, https://doi.org/10.5194/amt-14-6101-2021, 2021
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This paper first validates the performance of an advanced aerosol observation instrument POPS against a reference instrument and examines any biases introduced by operating it on a quadcopter drone. The results show the POPS performs relatively well on the ground. The impact of the UAV rotors on the POPS is small at low wind speeds, but when operating under higher wind speeds, larger discrepancies occur. It appears that the POPS measures sub-micron aerosol particles more accurately on the UAV.
Ifeanyichukwu C. Nduka, Chi-Yung Tam, Jianping Guo, and Steve Hung Lam Yim
Atmos. Chem. Phys., 21, 13443–13454, https://doi.org/10.5194/acp-21-13443-2021, https://doi.org/10.5194/acp-21-13443-2021, 2021
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This study analyzed the nature, mechanisms and drivers for hot-and-polluted episodes (HPEs) in the Pearl River Delta, China. A total of eight HPEs were identified and can be grouped into three clusters of HPEs that were respectively driven (1) by weak subsidence and convection induced by approaching tropical cyclones, (2) by calm conditions with low wind speed in the lower atmosphere and (3) by the combination of both aforementioned conditions.
Zhiyuan Li, Kin-Fai Ho, Hsiao-Chi Chuang, and Steve Hung Lam Yim
Atmos. Chem. Phys., 21, 5063–5078, https://doi.org/10.5194/acp-21-5063-2021, https://doi.org/10.5194/acp-21-5063-2021, 2021
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This study established land-use regression (LUR) models using only routine air quality measurement data to support long-term health studies in an Asian metropolitan area. The established LUR models captured the spatial variability in exposure to air pollution with remarkable predictive accuracy. This is the first Asian study to evaluate intercity transferability of LUR models, and it highlights that there exist uncertainties when transferring LUR models between nearby cities.
Felix Leung, Karina Williams, Stephen Sitch, Amos P. K. Tai, Andy Wiltshire, Jemma Gornall, Elizabeth A. Ainsworth, Timothy Arkebauer, and David Scoby
Geosci. Model Dev., 13, 6201–6213, https://doi.org/10.5194/gmd-13-6201-2020, https://doi.org/10.5194/gmd-13-6201-2020, 2020
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Ground-level ozone (O3) is detrimental to plant productivity and crop yield. Currently, the Joint UK Land Environment Simulator (JULES) includes a representation of crops (JULES-crop). The parameters for O3 damage in soybean in JULES-crop were calibrated against photosynthesis measurements from the Soybean Free Air Concentration Enrichment (SoyFACE). The result shows good performance for yield, and it helps contribute to understanding of the impacts of climate and air pollution on food security.
Lang Wang, Amos P. K. Tai, Chi-Yung Tam, Mehliyar Sadiq, Peng Wang, and Kevin K. W. Cheung
Atmos. Chem. Phys., 20, 11349–11369, https://doi.org/10.5194/acp-20-11349-2020, https://doi.org/10.5194/acp-20-11349-2020, 2020
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We investigate the effects of future land use and land cover change (LULCC) on surface ozone air quality worldwide and find that LULCC can significantly influence ozone in North America and Europe via modifying surface energy balance, boundary-layer meteorology, and regional circulation. The strength of such “biogeophysical effects” of LULCC is strongly dependent on forest type and generally greater than the “biogeochemical effects” via changing deposition and emission fluxes alone.
Cited articles
Ackermann, I. J., Hass, H., Memmesheimer, M., Ebel, A., Binkowski, F. S.,
and Shankar, U. M. A.: Modal aerosol dynamics model for Europe: Development
and first applications, Atmos. Environ., 32, 2981–2999,
https://doi.org/10.1016/S1352-2310(98)00006-5, 1998.
Ainsworth, E. A., Yendrek, C. R., Sitch, S., Collins, W. J., and Emberson,
L. D.: The effects of tropospheric ozone on net primary productivity and
implications for climate change, Annu. Rev. Plant Biol., 63, 637–661,
https://doi.org/10.1146/annurev-arplant-042110-103829, 2012.
Anenberg, S. C., Horowitz, L. W., Tong, D. Q., and West, J. J.: An estimate
of the global burden of anthropogenic ozone and fine particulate matter on
premature human mortality using atmospheric modeling, Environ. Health.
Persp., 118, 1189–1195, https://doi.org/10.1289/ehp.0901220, 2010.
Arneth, A., Niinemets, Ü., Pressley, S., Bäck, J., Hari, P., Karl, T., Noe, S., Prentice, I. C., Serça, D., Hickler, T., Wolf, A., and Smith, B.: Process-based estimates of terrestrial ecosystem isoprene emissions: incorporating the effects of a direct CO2-isoprene interaction, Atmos. Chem. Phys., 7, 31–53, https://doi.org/10.5194/acp-7-31-2007, 2007.
Arnold, S. R., Lombardozzi, D., Lamarque, J. F., Richardson, T., Emmons, L.
K., Tilmes, S., Sitch, S. A., Folberth, G., Hollaway, M. J., and Val Martin,
M.: Simulated Global Climate Response to Tropospheric Ozone-Induced Changes
in Plant Transpiration, Geophys. Res. Lett., 45, 13070–13079,
https://doi.org/10.1029/2018GL079938, 2018.
Ball, J. T., Woodrow, I. E., and Berry, J. A.: A model predicting stomatal
conductance and its contribution to the control of photosynthesis under
different environmental conditions, Prog. Photosynthesis, Springer, Dordrecht, 4, 221–224, 1987.
Brunner, D., Savage, N., Jorba, O., Eder, B., Giordano, L., Badia, A., and
Galmarini, S.: Comparative analysis of meteorological performance of coupled
chemistry – 273 meteorology models in the context of AQMEII phase 2, Atmos.
Environ., 115, 470–498, https://doi.org/10.1016/j.atmosenv.2014.12.032,
2015.
Cohen, A. J., Brauer, M., Burnett, R., Anderson, H. R., Frostad, J., Estep,
K., and Feigin, V.: Estimates and 25-year trends of the global burden of
disease attributable to ambient air pollution: an analysis of data from the
Global Burden of Diseases Study 2015, Lancet, 389, 1907–1918,
https://doi.org/10.1016/S0140-6736(17)30505-6, 2017.
Dickinson, R. E.: Land surface processes and climate – Surface albedos and
energy balance, Adv. Geophys., 25, 305–353,
https://doi.org/10.1016/S0065-2687(08)60176-4, 1983.
Emmons, L. K., Walters, S., Hess, P. G., Lamarque, J.-F., Pfister, G. G.,
Fillmore, D., Granier, C., Guenther, A., Kinnison, D., Laepple, T., Orlando,
J., Tie, X., Tyndall, G., Wiedinmyer, C., Baughcum, S. L., and Kloster, S.:
Description and evaluation of the Model for Ozone and Related chemical
Tracers, version 4 (MOZART-4), Geosci. Model Dev., 3, 43–67,
https://doi.org/10.5194/gmd-3-43-2010, 2010.
Farquhar, G. D., Caemmerer, S. V., and Berry, J. A.: A Biochemical-Model of
Photosynthetic CO2 Assimilation in Leaves of C3 Species, Planta,
149, 78–90, https://doi.org/10.1007/Bf00386231, 1980.
Fast, J. D., Gustafson Jr., W. I., Easter, R. C., Zaveri, R. A., Barnard, J.
C., Chapman, E. G., Grell, G. A., and Peckham, S. E.: Evolution of ozone,
particulates, and aerosol direct forcing in an urban area using a new
fully-coupled meteorology, chemistry, and aerosol model, J. Geophys. Res.,
111, D21305, https://doi.org/10.1029/2005JD006721, 2006.
Feng, Z., Hu, E., Wang, X., Jiang, L., and Liu, X.: Ground-level O3
pollution and its impacts on food crops in China: A review, Environ.
Pollut., 199, 42–48, https://doi.org/10.1016/j.envpol.2015.01.016, 2015.
Gao, M., Gao, J., Zhu, B., Kumar, R., Lu, X., Song, S., Zhang, Y., Jia, B., Wang, P., Beig, G., Hu, J., Ying, Q., Zhang, H., Sherman, P., and McElroy, M. B.: Ozone pollution over China and India: seasonality and sources, Atmos. Chem. Phys., 20, 4399–4414, https://doi.org/10.5194/acp-20-4399-2020, 2020.
Ginoux, P., Chin, M., Tegen, I., Prospero, J. M., Holben, B., Dubovik, O.,
and Lin, S. J.: Sources and distributions of dust aerosols simulated with
the GOCART model, J. Geophys. Res.-Atmos., 106, 20255–20273,
https://doi.org/10.1029/2000JD000053, 2001.
Gong, C., Lei, Y., Ma, Y., Yue, X., and Liao, H.: Ozone–vegetation feedback through dry deposition and isoprene emissions in a global chemistry–carbon–climate model, Atmos. Chem. Phys., 20, 3841–3857, https://doi.org/10.5194/acp-20-3841-2020, 2020.
Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G.,
Skamarock, W. C., and Eder, B.: Fully coupled “online” chemistry within
the WRF model. Atmos. Environ., 39, 6957–6975,
https://doi.org/10.1016/j.atmosenv.2005.04.027, 2005.
Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181–3210, https://doi.org/10.5194/acp-6-3181-2006, 2006.
Hollaway, M. J., Arnold, S. R., Collins, W. J., Folberth, G., and Rap, A.:
Sensitivity of midnineteenth century tropospheric ozone to atmospheric
chemistry-vegetation interactions, J. Geophys. Res.-Atmos., 122, 2452–2473,
https://doi.org/10.1002/2016JD025462, 2017.
Hu, J., Chen, J., Ying, Q., and Zhang, H.: One-year simulation of ozone and particulate matter in China using WRF/CMAQ modeling system, Atmos. Chem. Phys., 16, 10333–10350, https://doi.org/10.5194/acp-16-10333-2016, 2016.
Huang, L., McDonald-Buller, E. C., McGaughey, G., Kimura, Y., and Allen, D.
T.: The impact of drought on ozone dry deposition over eastern Texas, Atmos.
Environ. 127, 176–186, 2016.
Huntingford, C., Oliver, R. J., Mercado, L. M., and Sitch, S.: A simple
theoretical model framework to describe plant stomatal “sluggishness” in
response to elevated ozone concentrations, Biogeosciences, 15, 5415–5422,
https://doi.org/10.5194/bg-15-5415-2018, 2018.
Kinose, Y., Fukamachi, Y., Okabe, S., Hiroshima, H., Watanabe, M., and Izuta, T.:
Photosynthetic responses to ozone of upper and lower canopy leaves of Fagus
crenata Blume seedlings grown under different soil nutrient conditions,
Environ. Pollut., 223, 213–222,
https://doi.org/10.1016/j.envpol.2017.01.014, 2017.
Lei, Y., Yue, X., Liao, H., Gong, C., and Zhang, L.: Implementation of Yale
Interactive terrestrial Biosphere model v1. 0 into GEOS-Chem v12. 0.0: a
tool for biosphere–chemistry interactions, Geosci. Model Dev., 13,
1137–1153, https://doi.org/10.5194/gmd-13-1137-2020, 2020.
Li, J., Mahalov, A., and Hyde, P.: Simulating the impacts of chronic ozone
exposure on plant conductance and photosynthesis, and on the regional
hydroclimate using WRF/Chem, Environ. Res. Lett., 11, 114017,
https://doi.org/10.1088/1748-9326/11/11/114017, 2016.
Li, J., Mahalov, A., and Hyde, P.: Simulating the effects of chronic ozone
exposure on hydrometeorology and crop productivity using a fully coupled
crop, meteorology and air quality modeling system, Agr. Forest Meteorol.,
260, 287–299, https://doi.org/10.1016/j.agrformet.2018.06.013, 2018.
Li, K., Jacob, D. J., Liao, H., Shen, L., Zhang, Q., and Bates, K. H.:
Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China,
P. Natl. Acad. Sci. USA, 116, 422–427, https://doi.org/10.1073/pnas.1812168116, 2019.
Lin, M., Malyshev, S., Shevliakova, E., Paulot, F., Horowitz, L. W., Fares,
S., Mikkelsen, T. N., and Zhang, L.: Sensitivity of ozone dry deposition to
ecosystem-atmosphere interactions: A critical appraisal of observations and
simulations, Global Biogeochem. Cy., 33, 1264–1288, 2019.
Lin, M., Horowitz, L. W., Xie, Y., Paulot, F., Malyshev, S., Shevliakova,
E., Finco, A., Gerosa, G., Kubistin, D., and Pilegaard, K.: Vegetation
feedbacks during drought exacerbate ozone air pollution extremes in Europe,
Nat. Clim. Change, 10, 444–451, 2020.
Liu, Y. and Wang, T.: Worsening urban ozone pollution in China from 2013 to 2017 – Part 1: The complex and varying roles of meteorology, Atmos. Chem. Phys., 20, 6305–6321, https://doi.org/10.5194/acp-20-6305-2020, 2020.
Liu, Z., Yim, S. H., Wang, C., and Lau, N. C.: The impact of the aerosol
direct radiative forcing on deep convection and air quality in the Pearl
River Delta region, Geophys. Res. Lett., 45, 4410–4418,
https://doi.org/10.1029/2018GL077517, 2018.
Liu, Z., Ming, Y., Zhao, C., Lau, N. C., Guo, J., Bollasina, M., and Yim, S. H. L.: Contribution of local and remote anthropogenic aerosols to a record-breaking torrential rainfall event in Guangdong Province, China, Atmos. Chem. Phys., 20, 223–241, https://doi.org/10.5194/acp-20-223-2020, 2020.
Lombardozzi, D., Levis, S., Bonan, G., and Sparks, J. P.: Predicting photosynthesis and transpiration responses to ozone: decoupling modeled photosynthesis and stomatal conductance, Biogeosciences, 9, 3113–3130, https://doi.org/10.5194/bg-9-3113-2012, 2012.
Lombardozzi, D., Levis, S., Bonan, G., Hess, P. G., and Sparks, J. P.: The
influence of chronic ozone exposure on global carbon and water cycles, J.
Climate, 28, 292–305, https://doi.org/10.1175/JCLI-D-14-00223.1, 2015.
Lu, X., Hong, J., Zhang, L., Cooper, O. R., Schultz, M. G., Xu, X., Wang,
T., Gao, M., Zhao, Y. H., and Zhang, Y.: Severe surface ozone pollution in
China: A global perspective, Environ. Sci. Tech. Let., 5,
487–494, https://doi.org/10.1021/acs.estlett.8b00366, 2018.
Niu, G. Y., Yang, Z. L., Mitchell, K. E., Chen, F., Ek, M. B., Barlage, M.,
Kumar, A., Manning, K., Niyogi, D., Rosero, E., Tewari, M., and Xia, Y.: The
community Noah land surface model with multiparameterization options
(Noah-MP): 1. Model description and evaluation with local-scale
measurements, J. Geophys. Res.-Atmos., 116, D12,
https://doi.org/10.1029/2010JD015139, 2011.
Rydsaa, J. H., Stordal, F., Gerosa, G., Finco, A., and Hodnebrog, O.:
Evaluating stomatal ozone fluxes in WRF-Chem: Comparing ozone uptake in
Mediterranean ecosystems, Atmos. Environ., 143, 237–248, 2016.
Sadiq, M., Tai, A. P. K., Lombardozzi, D., and Val Martin, M.: Effects of ozone–vegetation coupling on surface ozone air quality via biogeochemical and meteorological feedbacks, Atmos. Chem. Phys., 17, 3055–3066, https://doi.org/10.5194/acp-17-3055-2017, 2017.
Schell, B., Ackermann, I. J., Hass, H., Binkowski, F. S., and Ebel, A.:
Modeling the formation of secondary organic aerosol within a comprehensive
air quality model system., J. Geophys. Res.-Atmos., 106, 28275–28293,
https://doi.org/10.1029/2001JD000384, 2001.
Silver, B., Reddington, C. L., Arnold, S. R., and Spracklen, D. V.:
Substantial changes in air pollution across China during 2015–2017,
Environ. Res. Lett., 13, 114012, https://doi.org/10.1088/1748-9326/aae718, 2018.
Sitch, S., Cox, P. M., Collins, W. J., and Huntingford, C.: Indirect
radiative forcing of climate change through ozone effects on the land-carbon
sink, Nature, 448, 791–794, https://doi.org/10.1038/nature06059, 2007.
Stevenson, D. S., Young, P. J., Naik, V., Lamarque, J.-F., Shindell, D. T., Voulgarakis, A., Skeie, R. B., Dalsoren, S. B., Myhre, G., Berntsen, T. K., Folberth, G. A., Rumbold, S. T., Collins, W. J., MacKenzie, I. A., Doherty, R. M., Zeng, G., van Noije, T. P. C., Strunk, A., Bergmann, D., Cameron-Smith, P., Plummer, D. A., Strode, S. A., Horowitz, L., Lee, Y. H., Szopa, S., Sudo, K., Nagashima, T., Josse, B., Cionni, I., Righi, M., Eyring, V., Conley, A., Bowman, K. W., Wild, O., and Archibald, A.: Tropospheric ozone changes, radiative forcing and attribution to emissions in the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP), Atmos. Chem. Phys., 13, 3063–3085, https://doi.org/10.5194/acp-13-3063-2013, 2013.
Stockwell, W. R., Middleton, P., Chang, J. S., and Tang, X.: The second
generation regional acid deposition model chemical mechanism for regional
air quality modeling, J. Geophys. Res.-Atmos., 95, 16343–16367,
https://doi.org/10.1029/JD095iD10p16343, 1990.
Tai, A. P., Martin, M. V., and Heald, C. L.: Threat to future global food
security from climate change and ozone air pollution. Nat. Clim. Change,
4, 817–821, https://doi.org/10.1038/nclimate2317, 2014.
Uddling, J., Matyssek, R., Pettersson, J. B., and Wieser, G.: To what extent
do molecular collisions arising from water vapour efflux impede stomatal
O3 influx?, Environ. Pollut., 170, 39–42,
https://doi.org/10.1016/j.envpol.2012.05.028, 2012.
Wang, W. N., Cheng, T. H., Gu, X. F., Chen, H., Guo, H., Wang, Y., Bao, F.
W., Shi, S. Y., Xu, B. R., and Meng, C.: Assessing spatial and
temporal patterns of observed ground-level ozone in China, Sci. Rep.-UK, 7,
1–12, https://doi.org/10.1038/s41598-017-03929-w, 2017.
Wiedinmyer, C., Akagi, S. K., Yokelson, R. J., Emmons, L. K., Al-Saadi, J.
A., Orlando, J. J., and Soja, A. J.: The Fire INventory from NCAR (FINN): a
high resolution global model to estimate the emissions from open burning,
Geosci. Model Dev., 4, 625–641, https://doi.org/10.5194/gmd-4-625-2011, 2011.
Xie, X., Wang, T., Yue, X., Li, S., Zhuang, B., Wang, M., and Yang, X.:
Numerical modeling of ozone damage to plants and its effects on atmospheric
CO2 in China, Atmos. Environ., 217, 116970,
https://doi.org/10.1016/j.atmosenv.2019.116970, 2019.
Yue, X. and Unger, N.: Ozone vegetation damage effects on gross primary productivity in the United States, Atmos. Chem. Phys., 14, 9137–9153, https://doi.org/10.5194/acp-14-9137-2014, 2014.
Yue, X., Unger, N., Harper, K., Xia, X., Liao, H., Zhu, T., Xiao, J., Feng, Z., and Li, J.: Ozone and haze pollution weakens net primary productivity in China, Atmos. Chem. Phys., 17, 6073–6089, https://doi.org/10.5194/acp-17-6073-2017, 2017.
Zhou, S. S., Tai, A. P. K., Sun, S., Sadiq, M., Heald, C. L., and Geddes, J. A.: Coupling between surface ozone and leaf area index in a chemical transport model: strength of feedback and implications for ozone air quality and vegetation health, Atmos. Chem. Phys., 18, 14133–14148, https://doi.org/10.5194/acp-18-14133-2018, 2018.
Short summary
This study assessed O3 damage to plant and the subsequent effects on meteorology and air quality in China, whereby O3, meteorology, and vegetation can co-evolve with each other. We provided comprehensive understanding about how O3–vegetation impacts adversely affect plant growth and crop production, and contribute to global warming and severe O3 air pollution in China. Our findings clearly pinpoint the need to consider the O3 damage effects in both air quality studies and climate change studies.
This study assessed O3 damage to plant and the subsequent effects on meteorology and air quality...
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