Cited by 92Atmospheric Ozone and ClimateAtmospheric chemistry and aerosolsAtmospheric aerosols and clouds

Long-term trends of surface ozone and its influencing factors at the Mt Waliguan GAW station, China-Part 2: the roles of anthropogenic emissions and climate variability

Open access
Xu, Wanyun, Xu, Xiaobin, Lin, Meiyun, Lin, Weili, Tarasick, David, Tang, Jie, Ma, Jianzhong, Zheng, Xiangdong·2018·Atmospheric chemistry and physics

Published version of a preprint

Abstract

Abstract. Interannual variability and long-term trends of tropospheric ozone are both of environmental and climate concerns. Ozone measured at Mt. Waliguan Observatory (WLG, 3816 m asl) on the Tibetan Plateau over the period 19947ndash;2013 has increased significantly by 0.2–0.3 ppbv year-1 during spring and autumn, but shows a much smaller trend in winter and no significant trend in summer. Here we explore the factors driving the observed ozone changes at WLG using backward trajectory analysis, chemistry-climate model hindcast simulations (GFDL-AM3), a trajectory-mapped ozonesonde dataset and various climate indices. A stratospheric ozone tracer implemented in GFDL-AM3 indicates that stratosphere-to-troposphere transport (STT) can explain ~ 70 % of the observed springtime ozone increase at WLG, consistent with an increase in the NW air mass frequency inferred from the trajectory analysis. Enhanced STT associated with the strengthening of the mid-latitude jet stream contributes to the observed high-ozone anomalies at WLG during the springs of 1999 and 2012. During autumn, observations at WLG are more heavily influenced by polluted air masses originated from Southeast Asia than in the other seasons. Rising Asian anthropogenic emissions of ozone precursors is the key driver of increasing autumnal ozone observed at WLG, as supported by the GFDL-AM3 model with time-varying emissions, which captures the observed ozone increase (0.26 ± 0.11 ppbv year-1). AM3 simulates a greater ozone increase of 0.38 ± 0.11 ppbv year-1 at WLG in autumn under conditions with strong transport from Southeast Asia and shows no significant ozone trend in autumn when anthropogenic emissions are held constant in time. During summer, WLG is mostly influenced by easterly air masses but these trajectories do not extend to the polluted regions of eastern China and have decreased significantly over the last two decades, which likely explains why summertime ozone measured at WLG shows no significant trend despite ozone increases in Eastern China. Analysis of the Trajectory-mapped Ozonesonde dataset for the Stratosphere and Troposphere (TOST) and trajectory residence time reveals increases in direct ozone transport from the eastern sector during autumn, which adds to the autumnal ozone increase. We further examine the links of ozone variability at WLG to the QBO, the North Atlantic Oscillation (NAO), the East Asian summer monsoon (EASM) and the sunspot cycle. Our results suggest that the 2–3 year, 3–7 year and 11 year periodicities are linked to QBO, EASMI and NAO and the sunspot cycle, respectively. A multivariate regression analysis is performed to quantify the relative contributions of various factors to surface ozone concentrations at WLG. Through an observational and modelling analysis, this study demonstrates the complex relationships between surface ozone at remote locations and its dynamical and chemical influencing factors.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.5194/acp-18-773-2018

Cites

68 of 68 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • NOx and VOCs emitted in more populous regions can undergo long-range transport and affect background ozone level.

    “However, this demonstrates that NOx and VOCs emitted in more populous regions can undergo long-range transport and affect “background” ozone level.”

    From Ozone pollution: A Major health hazard worldwide (2019) · cites this paper as [11]

  • Ozone measured at Mt Waliguan Observatory on the Tibetan Plateau over the period of 1994-2013 has shown an increasing trend at 0.2-0.3 ppb per year during spring and autumn.

    “ozone measured at Mt Waliguan Observatory (a global “background” site) on the Tibetan Plateau over the period of 1994–2013 has shown an increasing trend at 0.2–0.3 ppb per year during spring and autumn (11).”

    From Ozone pollution: A Major health hazard worldwide (2019) · cites this paper as [11]

  • The springtime ozone increase at Mt Waliguan was partly (~60%) attributed to increased stratosphere-to-troposphere transport, whereas rising Asian anthropogenic emissions of ozone precursors were the key driver of increasing autumnal ozone at this site.

    “The springtime ozone increase was partly (~60%) attributed to increased stratosphere-to-troposphere transport, whereas rising Asian anthropogenic emissions of ozone precursors were the key driver of increasing autumnal ozone at this site.”

    From Ozone pollution: A Major health hazard worldwide (2019) · cites this paper as [11]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Jia, S., Xu, X., Lin, W., Wang, Y., He, X., and Zhang, H.: Increased mixing ratio of surface ozone by nighttime convection process over the North China Plain, Journal of Applied Meteorological Science, 26, 280–290, 2015.

Cited by

Sorted by citations

Authors
Xu, W., Xu, X., Lin, M., Lin, W., Tarasick, D., Tang, J., Ma, J., & Zheng, X.
Affiliations
  • Chinese Academy of Meteorological Sciences (CN)
  • National Oceanic and Atmospheric Administration (US)
  • Minzu University of China (CN)
  • Environment and Climate Change Canada (CA)
  • China Meteorological Administration (CN)
Corresponding author
  • Xu, Xiaobin
  • Lin, Meiyun
Venue
Atmospheric chemistry and physics
Published
2018-01-22
Volume
18
Issue
2
Pages
773-798
ISSN
  • 1680-7316 (ISSN-L)
  • 1680-7324
OpenAlex
W2784393420
Cited by
92
References
68
Citations by year
2026: 3 · 2025: 9 · 2024: 5 · 2023: 13 · 2022: 28 · 2021: 11 · 2020: 12 · 2019: 7 · 2018: 3 · 2016: 1
FWCI
4.02
Type
journal article
Language
en
Open access
Locations
  • Atmospheric chemistry and physics (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • NOAA Institutional Repository (submittedVersion)
  • Biogeosciences (European Geosciences Union) (submittedVersion, cc-by)
Funders
National Natural Science Foundation of China (41330422, 41505107)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric Ozone and Climate
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
Keywords
surface ozone trends, tropospheric ozone, stratosphere-to-troposphere transport, anthropogenic emissions, climate variability, Tibetan Plateau, backward trajectory analysis, ozonesondes, seasonal ozone variation, ozone precursors, two one-sided tests

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review