Publications

(2024). Implementation of trait-based ozone plant sensitivity in the Yale Interactive terrestrial Biosphere model v1.0 to assess global vegetation damage. Geoscientific Model Development.

DOI

(2024). Anthropogenic-driven perturbations on nitrogen cycles and interactions with climate changes. Current Opinion in Green and Sustainable Chemistry.

DOI

(2022). Deep cut of anthropogenic nitrogen oxides emissions to mitigate ozone vegetation damages in China. Atmospheric Environment.

DOI

(2022). Global Perspective of Drought Impacts on Ozone Pollution Episodes. Environmental science & technology 56 (7), 3932-3940.

DOI

(2021). Identifying the dominant climate-driven uncertainties in modeling gross primary productivity. Science of The Total Environment 800, 149518.

DOI

(2021). Indirect contributions of global fires to surface ozone through ozone–vegetation feedback. Atmospheric Chemistry and Physics 21(15):11531-11543.

DOI

(2021). Impacts of Ozone-Vegetation Interactions on Ozone Pollution Episodes in North China and the Yangtze River Delta. Geophysical Research Letters 48 (12), e2021GL093814.

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(2021). A humidity-based exposure index representing ozone damage effects on vegetation. Environmental Research Letters 16(4).

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(2021). Impact of western Pacific subtropical high on ozone pollution over eastern China. Atmospheric Chemistry and Physics 21 (4), 2601-2613.

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(2020). Ozone–vegetation feedback through dry deposition and isoprene emissions in a global chemistry–carbon–climate model. Atmospheric Chemistry and Physics 20(6):3841-3857.

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(2020). Implementation of Yale Interactive terrestrial Biosphere model v1. 0 into GEOS-Chem v12. 0.0: a tool for biosphere–chemistry interactions. Geoscientific Model Development 13 (3), 1137-1153.

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(2020). Persistent ozone pollution episodes in North China exacerbated by regional transport. Environmental Pollution 265, 115056.

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(2019). A typical weather pattern for ozone pollution events in North China. Atmospheric Chemistry and Physics 19 (22), 13725-13740.

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(2018). Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites. Atmospheric Chemistry and Physics 18 (3), 1763-1783.

DOI