Between marine and continental air: atmospheric CO₂ variability and local wind associations in coastal Taizhou, China

Abstract Atmospheric carbon dioxide (CO₂) observations at Hongjia, Taizhou, from April 2023 to November 2024 were analyzed using statistical methods, backward-trajectory clustering, the weighted potential source contribution function, and cross-tabulation of trajectory over-ocean fractions and local winds. The mean mole fraction was (440.61 ± 14.0) × 10⁻⁶, lower than at the inland Lin’an station. Concentrations were higher in winter and spring, lower in summer and autumn, and highest around dawn and lowest in the afternoon. Wind speed was negatively correlated with CO₂ in all seasons; W–WSW winds were associated with higher concentrations. The 72 h trajectories were classified as continental (over-ocean fraction f ≤ 0.2), mixed (0.2 < f < 0.8), or marine (f ≥ 0.8). The over-ocean fraction was negatively correlated with CO₂ (r = − 0.367). Marine pathways combined with SE–S winds and speeds ≥ 3 m s⁻¹ yielded a mean of 425.8 × 10⁻⁶, whereas continental-pathway means ranged from 448.1 to 449.2 × 10⁻⁶ under different wind filters. Weak westerlies across pathways corresponded to 451.5 × 10⁻⁶, increasing to 459.3 × 10⁻⁶ in winter. Within pathway classes, weak-westerly means exceeded those under other valid wind conditions by 6.9–12.8 × 10⁻⁶. These contrasts cannot independently quantify local anthropogenic contributions. Potential source regions included the Zhejiang–Fujian coast, the Jiangsu–Anhui border, and North China. The findings characterize coastal CO₂ variability associated with regional transport, local transport and dispersion, and terrestrial ecosystem exchange.

Authors

Institutions

Publication Details

Journal
Research Square
Published
2026-11-06
DOI
https://doi.org/10.21203/rs.3.rs-11366198/v1
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
preprint

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Between marine and continental air: atmospheric CO₂ variability and local wind associations in coastal Taizhou, China

Meng Shan, Lu Qiao, Zhimei Weng, Weidong Dai et al.
1 links
Research Square
Atmospheric and Environmental Gas Dynamics
preprint

Between marine and continental air: atmospheric CO₂ variability and local wind associations in coastal Taizhou, China

Meng Shan, Lu Qiao, Zhimei Weng, Weidong Dai, Wenzhi Zhang, Honghui Xu, Kai Wang, Ziqi Zhang
preprint en

Abstract

Abstract Atmospheric carbon dioxide (CO₂) observations at Hongjia, Taizhou, from April 2023 to November 2024 were analyzed using statistical methods, backward-trajectory clustering, the weighted potential source contribution function, and cross-tabulation of trajectory over-ocean fractions and local winds. The mean mole fraction was (440.61 ± 14.0) × 10⁻⁶, lower than at the inland Lin’an station. Concentrations were higher in winter and spring, lower in summer and autumn, and highest around dawn and lowest in the afternoon. Wind speed was negatively correlated with CO₂ in all seasons; W–WSW winds were associated with higher concentrations. The 72 h trajectories were classified as continental (over-ocean fraction f ≤ 0.2), mixed (0.2 < f < 0.8), or marine (f ≥ 0.8). The over-ocean fraction was negatively correlated with CO₂ (r = − 0.367). Marine pathways combined with SE–S winds and speeds ≥ 3 m s⁻¹ yielded a mean of 425.8 × 10⁻⁶, whereas continental-pathway means ranged from 448.1 to 449.2 × 10⁻⁶ under different wind filters. Weak westerlies across pathways corresponded to 451.5 × 10⁻⁶, increasing to 459.3 × 10⁻⁶ in winter. Within pathway classes, weak-westerly means exceeded those under other valid wind conditions by 6.9–12.8 × 10⁻⁶. These contrasts cannot independently quantify local anthropogenic contributions. Potential source regions included the Zhejiang–Fujian coast, the Jiangsu–Anhui border, and North China. The findings characterize coastal CO₂ variability associated with regional transport, local transport and dispersion, and terrestrial ecosystem exchange.

Research Square
Zhejiang Meteorological Bureau (CN)
National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province
Climate action
Atmospheric and Environmental Gas Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Between marine and continental air: atmospheric CO₂ variability and local wind associations in coastal Taizhou, China — Meng Shan, Lu Qiao, et al. · Research Square (2026) | TGRS Research Map | TGRS