Articles | Volume 22, issue 24
https://doi.org/10.5194/acp-22-16073-2022
© 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-22-16073-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Dec 2022
Research article |
| 22 Dec 2022
| 22 Dec 2022
Decoupling impacts of weather conditions on interannual variations in concentrations of criteria air pollutants in South China – constraining analysis uncertainties by using multiple analysis tools
Yu Lin
Sanya Oceanographic Institution (Ocean University of China), Yazhou Bay Science & Technology City, Sanya, China
Air Quality Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, ON, M3H 5T4, Canada
Qinchu Fan
Key Laboratory of Marine Environment and Ecology (MoE) and Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Ocean University of China, Qingdao, China
He Meng
Qingdao Eco-Environment Monitoring Center of Shandong Province, Qingdao, China
Sanya Oceanographic Institution (Ocean University of China), Yazhou Bay Science & Technology City, Sanya, China
Key Laboratory of Marine Environment and Ecology (MoE) and Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Ocean University of China, Qingdao, China
Laboratory for Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
Huiwang Gao
Key Laboratory of Marine Environment and Ecology (MoE) and Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Ocean University of China, Qingdao, China
Laboratory for Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
Xiaohong Yao
CORRESPONDING AUTHOR
Sanya Oceanographic Institution (Ocean University of China), Yazhou Bay Science & Technology City, Sanya, China
Key Laboratory of Marine Environment and Ecology (MoE) and Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Ocean University of China, Qingdao, China
Laboratory for Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
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EGUsphere, https://doi.org/10.5194/egusphere-2025-6479, https://doi.org/10.5194/egusphere-2025-6479, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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Deep integration of Artificial intelligence (AI) algorithms and traditional scientific models is crucial for progress, but Fortran-based scientific codes and Python-based AI are difficult to combine. We develop a Python–Fortran hybrid procedure that enables mutual invocation of AI and scientific modules. Applied to climate and weather models, it supports strongly coupled data assimilation and high-precision prediction, promoting future advances in both AI and scientific modeling.
Tianle Zhang, Yaxin Xiang, Bingxing Zhu, Xiaohong Yao, Xuehua Fan, Yinan Wang, Yuntao Wang, Shuangling Chen, Shunyao Wang, Yan Zhang, Fei Chai, and Mei Zheng
Atmos. Chem. Phys., 26, 3001–3024, https://doi.org/10.5194/acp-26-3001-2026, https://doi.org/10.5194/acp-26-3001-2026, 2026
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Based on high-time-resolution shipborne measurements, this study examines the sources of iron in aerosols over the Northwest Pacific. We found that non-dust emissions from ships and land-based activities contribute the majority of soluble iron capable of enhancing marine primary productivity, with particularly pronounced contributions in coastal regions and during the summer season. These findings provide improved insight into the influence of human activities on oceanic nutrient supply.
Siyu Meng, Xun Gong, Benjamin G. M. Webber, Manoj Joshi, Xiaokun Ding, Xiang Gong, Mingliang Gu, and Huiwang Gao
Biogeosciences, 23, 867–879, https://doi.org/10.5194/bg-23-867-2026, https://doi.org/10.5194/bg-23-867-2026, 2026
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The North Pacific oligotrophic ocean gyre (NPOG), with low phytoplankton biomass, covers about 40 % of the North Pacific. The variations in NPOG seasonal cycle, which have a greater impact than its annual mean changes, are influenced by the El Niño-Southern Oscillation from 1998 to 2021. However, from 2021 to 2100, a weakened NPOG seasonal cycle is expected due to climate change. These changes in NPOG seasonal cycle could affect fisheries and marine ecosystems.
Yujue Wang, Yizhe Yi, Wei Xu, Yiwen Zhang, Shubin Li, Hong-Hai Zhang, Mingliang Gu, Shibo Yan, Jialei Zhu, Chao Zhang, Jinhui Shi, Yang Gao, Xiaohong Yao, and Huiwang Gao
Biogeosciences, 23, 77–93, https://doi.org/10.5194/bg-23-77-2026, https://doi.org/10.5194/bg-23-77-2026, 2026
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Marine organic aerosols remain poorly quantified, which limits our understanding on the climate regulation of marine aerosols. Based on shipboard cruises over the Pacific Ocean, we proposed an observation-based parameterization approach to estimate the primary and secondary marine organic aerosols using sea surface chlorophyll a and sea salts in marine aerosols. The results highlight that the spatial distribution of marine organic aerosols was driven by the marine biological activities.
Qinchu Fan, Xiaohong Yao, and Leiming Zhang
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This study identified that the disproportionate multi-decadal trends between particulate nitrate and NOx emissions in Canadian urban atmospheres were caused by reduced primary fine-fraction nitrate emissions, localized dispersion, and Arctic Oscillation–modulated wind anomalies. These findings can help interpret the weak or absent response of fine-fraction nitrate to NOx reductions worldwide, especially in cold-climate regions.
Xiaojing Lv, Zhao Liu, Yuxuan Li, Shaoqing Zhang, Haohuan Fu, Xiaohui Duan, Shiming Xu, Yang Gao, Yujing Fan, Lifeng Yan, Haopeng Huang, Haitian Lu, Lingfeng Wan, Haoran Lin, Qixin Chang, Chenlin Li, Quanjie He, Yangyang Yu, Qinghui Lin, Sheng Jia, Tengda Zhao, Weiguo Liu, and Guangwen Yang
EGUsphere, https://doi.org/10.5194/egusphere-2025-5297, https://doi.org/10.5194/egusphere-2025-5297, 2025
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This study introduces a highly-efficient optimization approach that integrates automated and fine-grained optimizations for kilometer-level Earth System Models on heterogeneous many-core supercomputers. Our optimization achieves full parallel coverage for code segments exceeding 1 % of runtime. The optimized 5-km/3-km coupled model reaches 222 Simulated Days Per Day. This work signifies a pivotal advancement in ESMs, providing a robust platform for HR climate simulations.
Shubin Li, Yujue Wang, Yiwen Zhang, Yizhe Yi, Yuchen Wang, Yuqi Guo, Chao Yu, Yue Jiang, Jinhui Shi, Chao Zhang, Jialei Zhu, Wei Hu, Jianzhen Yu, Xiaohong Yao, Huiwang Gao, and Min Hu
Atmos. Chem. Phys., 25, 12585–12598, https://doi.org/10.5194/acp-25-12585-2025, https://doi.org/10.5194/acp-25-12585-2025, 2025
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Organosulfates (OSs) are an unrecognized and potentially important component in marine organic aerosols. In this study, we quantified and characterized the OSs over East Asian marginal seas. The chemical nature and spatiotemporal distribution of OSs were modified by the joint influence of marine emissions and transported terrestrial pollutants. The results highlight the vital roles of OSs in shaping organic aerosol formation and sulfur cycle during summer in the marine boundary layer.
Tamara Emmerichs, Abdulla Al Mamun, Lisa Emberson, Huiting Mao, Leiming Zhang, Limei Ran, Clara Betancourt, Anthony Wong, Gerbrand Koren, Giacomo Gerosa, Min Huang, and Pierluigi Guaita
Biogeosciences, 22, 4823–4849, https://doi.org/10.5194/bg-22-4823-2025, https://doi.org/10.5194/bg-22-4823-2025, 2025
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The risk of ozone pollution to plants is estimated based on the flux through the plant pores which still has uncertainties. In this study, we estimate this quantity with nine models at different land types worldwide, driven by measurement data. The models mostly estimated reasonable summertime ozone flux to plants. The model results varied by land cover, mainly related to the a lack of moisture in the soil. This work is an important step for assessing the ozone impact on vegetation.
Yuxuan Qi, Wenshuai Li, Wen Qu, Haizhou Zhang, Wenqing Zhu, Jinhui Shi, Daizhou Zhang, Yanjing Zhang, Lifang Sheng, Wencai Wang, Yunhui Zhao, Yuanyuan Ma, Danyang Ren, Guanru Wu, Xinfeng Wang, Xiaohong Yao, and Yang Zhou
EGUsphere, https://doi.org/10.5194/egusphere-2025-4005, https://doi.org/10.5194/egusphere-2025-4005, 2025
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The Yellow-Bohai Sea region lies downwind of heavily polluted East Asia. Research reveals how land and ship pollution impact coastal air in Qingdao and nearby seas. Ship and coal emissions worsen marine air quality, with summer zinc and arsenic levels exceeding land. Spring carries city pollution seaward, summer pushes ship emissions ashore. Using 81 air samples, the study shows seasonal shifts between dust, industry & combustion sources, highlighting growing human impacts on marine ecosystems.
Irene Cheng, Amanda Cole, Leiming Zhang, and Alexandra Steffen
Atmos. Chem. Phys., 25, 8591–8611, https://doi.org/10.5194/acp-25-8591-2025, https://doi.org/10.5194/acp-25-8591-2025, 2025
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Using the positive matrix factorization (PMF) model and observations, we showed that natural surface emission (wildfires and re-emitted Hg) dominated anthropogenic contributions to total gaseous mercury (TGM). Decreasing TGM was due to reduced shipping, local combustion, and regional emissions. Relative contributions from natural surface emissions increased by 0.3–1.8 % yr-1. Results showed Hg control measures have been effective, but greater attention is needed for monitoring surface re-emissions.
Anam M. Khan, Olivia E. Clifton, Jesse O. Bash, Sam Bland, Nathan Booth, Philip Cheung, Lisa Emberson, Johannes Flemming, Erick Fredj, Stefano Galmarini, Laurens Ganzeveld, Orestis Gazetas, Ignacio Goded, Christian Hogrefe, 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, Donna Schwede, Sam J. Silva, Ralf Staebler, Shihan Sun, Amos P. K. Tai, Eran Tas, Timo Vesala, Tamás Weidinger, Zhiyong Wu, Leiming Zhang, and Paul C. Stoy
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.
Wenbin Kou, Yang Gao, Dan Tong, Xiaojie Guo, Xiadong An, Wenyu Liu, Mengshi Cui, Xiuwen Guo, Shaoqing Zhang, Huiwang Gao, and Lixin Wu
Atmos. Chem. Phys., 25, 3029–3048, https://doi.org/10.5194/acp-25-3029-2025, https://doi.org/10.5194/acp-25-3029-2025, 2025
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Unlike traditional numerical studies, we apply a high-resolution Earth system model, improving simulations of surface ozone and large-scale circulations such as atmospheric blocking. Besides local heat waves, we quantify the impact of atmospheric blocking on downstream ozone concentrations, which is closely associated with the blocking position. We identify three major pathways of Rossby wave propagation, stressing the critical role of large-scale circulation in regional air quality.
Zihan Song, Leiming Zhang, Chongguo Tian, Qiang Fu, Zhenxing Shen, Renjian Zhang, Dong Liu, and Song Cui
Atmos. Chem. Phys., 24, 13101–13113, https://doi.org/10.5194/acp-24-13101-2024, https://doi.org/10.5194/acp-24-13101-2024, 2024
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A novel concept integrating crop cycle information into fire spot extraction was proposed. Spatiotemporal variations of open straw burning in Northeast China are revealed. Open straw burning in Northeast China emitted a total of 218 Tg of CO2-eq during 2001–2020. The policy of banning straw burning effectively reduced greenhouse gas emissions.
Jiewen Shen, Bin Zhao, Shuxiao Wang, An Ning, Yuyang Li, Runlong Cai, Da Gao, Biwu Chu, Yang Gao, Manish Shrivastava, Jingkun Jiang, Xiuhui Zhang, and Hong He
Atmos. Chem. Phys., 24, 10261–10278, https://doi.org/10.5194/acp-24-10261-2024, https://doi.org/10.5194/acp-24-10261-2024, 2024
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We extensively compare various cluster-dynamics-based parameterizations for sulfuric acid–dimethylamine nucleation and identify a newly developed parameterization derived from Atmospheric Cluster Dynamic Code (ACDC) simulations as being the most reliable one. This study offers a valuable reference for developing parameterizations of other nucleation systems and is meaningful for the accurate quantification of the environmental and climate impacts of new particle formation.
Pierluigi Renan Guaita, Riccardo Marzuoli, Leiming Zhang, Steven Turnock, Gerbrand Koren, Oliver Wild, Paola Crippa, and Giacomo Alessandro Gerosa
EGUsphere, https://doi.org/10.5194/egusphere-2024-2573, https://doi.org/10.5194/egusphere-2024-2573, 2024
Preprint archived
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This study assesses the global impact of tropospheric ozone on wheat crops in the 21st century under various climate scenarios. The research highlights that ozone damage to wheat varies by region and depends on both ozone levels and climate. Vulnerable regions include East Asia, Northern Europe, and the Southern and Eastern edges of the Tibetan Plateau. Our results emphasize the need of policies to reduce ozone levels and mitigate climate change to protect global food security.
Xiaohong Yao and Leiming Zhang
Atmos. Chem. Phys., 24, 7773–7791, https://doi.org/10.5194/acp-24-7773-2024, https://doi.org/10.5194/acp-24-7773-2024, 2024
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This study investigates long-term trends of criteria air pollutants, including NO2, CO, SO2, O3 and PM2.5, and NO2+O3 measured in 10 Canadian cities during the last 2 to 3 decades. We also investigate associated driving forces in terms of emission reductions, perturbations from varying weather conditions and large-scale wildfires, as well as changes in O3 sources and sinks.
Juanjuan Qin, Leiming Zhang, Yuanyuan Qin, Shaoxuan Shi, Jingnan Li, Zhao Shu, Yuwei Gao, Ting Qi, Jihua Tan, and Xinming Wang
Atmos. Chem. Phys., 24, 7575–7589, https://doi.org/10.5194/acp-24-7575-2024, https://doi.org/10.5194/acp-24-7575-2024, 2024
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The present research unveiled that acidity dominates while transition metal ions harmonize with the light absorption properties of humic-like substances (HULIS). Cu2+ has quenching effects on HULIS by complexation, hydrogen substitution, or electrostatic adsorption, with aromatic structures of HULIS. Such effects are less pronounced if from Mn2+, Ni2+, Zn2+, and Cu2+. Oxidized HULIS might contain electron-donating groups, whereas N-containing compounds might contain electron-withdrawing groups.
Wei Sun, Xiaodong Hu, Yuzhen Fu, Guohua Zhang, Yujiao Zhu, Xinfeng Wang, Caiqing Yan, Likun Xue, He Meng, Bin Jiang, Yuhong Liao, Xinming Wang, Ping'an Peng, and Xinhui Bi
Atmos. Chem. Phys., 24, 6987–6999, https://doi.org/10.5194/acp-24-6987-2024, https://doi.org/10.5194/acp-24-6987-2024, 2024
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The formation pathways of nitrogen-containing compounds (NOCs) in the atmosphere remain unclear. We investigated the composition of aerosols and fog water by state-of-the-art mass spectrometry and compared the formation pathways of NOCs. We found that NOCs in aerosols were mainly formed through nitration reaction, while ammonia addition played a more important role in fog water. The results deepen our understanding of the processes of organic particulate pollution.
Ming Chu, Xing Wei, Shangfei Hai, Yang Gao, Huiwang Gao, Yujiao Zhu, Biwu Chu, Nan Ma, Juan Hong, Yele Sun, and Xiaohong Yao
Atmos. Chem. Phys., 24, 6769–6786, https://doi.org/10.5194/acp-24-6769-2024, https://doi.org/10.5194/acp-24-6769-2024, 2024
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We used a 20-bin WRF-Chem model to simulate NPF events in the NCP during a three-week observational period in the summer of 2019. The model was able to reproduce the observations during June 29–July 6, which was characterized by a high frequency of NPF occurrence.
Rui Li, Prema Piyusha Panda, Yizhu Chen, Zhenming Zhu, Fu Wang, Yujiao Zhu, He Meng, Yan Ren, Ashwini Kumar, and Mingjin Tang
Atmos. Meas. Tech., 17, 3147–3156, https://doi.org/10.5194/amt-17-3147-2024, https://doi.org/10.5194/amt-17-3147-2024, 2024
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We found that for ultrapure water batch leaching, the difference in specific experimental parameters, including agitation methods, filter pore size, and contact time, only led to a small and sometimes insignificant difference in determined aerosol trace element solubility. Furthermore, aerosol trace element solubility determined using four common ultrapure water leaching protocols showed good agreement.
Jiawei Li, Zhiwei Han, Pingqing Fu, Xiaohong Yao, and Mingjie Liang
Atmos. Chem. Phys., 24, 3129–3161, https://doi.org/10.5194/acp-24-3129-2024, https://doi.org/10.5194/acp-24-3129-2024, 2024
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Organic aerosols of marine origin are important for aerosol climatic effects but are poorly understood. For the first time, an online coupled regional chemistry–climate model is applied to explore the characteristics of emission, distribution, and direct and indirect radiative effects of marine organic aerosols over the western Pacific, which reveals an important role of marine organic aerosols in perturbing cloud and radiation and promotes understanding of global aerosol climatic impact.
Feifan Yan, Hang Su, Yafang Cheng, Rujin Huang, Hong Liao, Ting Yang, Yuanyuan Zhu, Shaoqing Zhang, Lifang Sheng, Wenbin Kou, Xinran Zeng, Shengnan Xiang, Xiaohong Yao, Huiwang Gao, and Yang Gao
Atmos. Chem. Phys., 24, 2365–2376, https://doi.org/10.5194/acp-24-2365-2024, https://doi.org/10.5194/acp-24-2365-2024, 2024
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PM2.5 pollution is a major air quality issue deteriorating human health, and previous studies mostly focus on regions like the North China Plain and Yangtze River Delta. However, the characteristics of PM2.5 concentrations between these two regions are studied less often. Focusing on the transport corridor region, we identify an interesting seesaw transport phenomenon with stagnant weather conditions, conducive to PM2.5 accumulation over this region, resulting in large health effects.
Yangyang Yu, Shaoqing Zhang, Haohuan Fu, Dexun Chen, Yang Gao, Xiaopei Lin, Zhao Liu, and Xiaojing Lv
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-10, https://doi.org/10.5194/gmd-2024-10, 2024
Preprint withdrawn
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The hardware-related perturbations caused by the heterogeneous many-core architectures can blend with software or human errors, which can affect the accuracy of the model consistency verification. We develop a deep learning-based consistency test tool for ESMs on the heterogeneous systems (ESM-DCT) and evaluate it in CESM on new Sunway system. The ESM-DCT can detect the existence of software or human errors when taking hardware-related perturbations into account.
Xing Wei, Yanjie Shen, Xiao-Ying Yu, Yang Gao, Huiwang Gao, Ming Chu, Yujiao Zhu, and Xiaohong Yao
Atmos. Chem. Phys., 23, 15325–15350, https://doi.org/10.5194/acp-23-15325-2023, https://doi.org/10.5194/acp-23-15325-2023, 2023
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We investigate the contribution of grown new particles to Nccn at a rural mountain site in the North China Plain. The total particle number concentrations (Ncn) observed on 8 new particle formation (NPF) days were higher compared to non-NPF days. The Nccn at 0.2 % supersaturation (SS) and 0.4 % SS on the NPF days was significantly lower than on non-NPF days. Only one of eight NPF events had detectable net contributions to Nccn at 0.4 % SS and 1.0 % SS with increased κ values.
Chupeng Zhang, Shangfei Hai, Yang Gao, Yuhang Wang, Shaoqing Zhang, Lifang Sheng, Bin Zhao, Shuxiao Wang, Jingkun Jiang, Xin Huang, Xiaojing Shen, Junying Sun, Aura Lupascu, Manish Shrivastava, Jerome D. Fast, Wenxuan Cheng, Xiuwen Guo, Ming Chu, Nan Ma, Juan Hong, Qiaoqiao Wang, Xiaohong Yao, and Huiwang Gao
Atmos. Chem. Phys., 23, 10713–10730, https://doi.org/10.5194/acp-23-10713-2023, https://doi.org/10.5194/acp-23-10713-2023, 2023
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New particle formation is an important source of atmospheric particles, exerting critical influences on global climate. Numerical models are vital tools to understanding atmospheric particle evolution, which, however, suffer from large biases in simulating particle numbers. Here we improve the model chemical processes governing particle sizes and compositions. The improved model reveals substantial contributions of newly formed particles to climate through effects on cloud condensation nuclei.
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.
Qi Yuan, Yuanyuan Wang, Yixin Chen, Siyao Yue, Jian Zhang, Yinxiao Zhang, Liang Xu, Wei Hu, Dantong Liu, Pingqing Fu, Huiwang Gao, and Weijun Li
Atmos. Chem. Phys., 23, 9385–9399, https://doi.org/10.5194/acp-23-9385-2023, https://doi.org/10.5194/acp-23-9385-2023, 2023
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This study for the first time found large amounts of liquid–liquid phase separation particles with soot redistributing in organic coatings instead of sulfate cores in the eastern Tibetan Plateau atmosphere. The particle size and the ratio of the organic matter coating thickness to soot size are two of the major possible factors that likely affect the soot redistribution process. The soot redistribution process promoted the morphological compaction of soot particles.
Yuyang Li, Jiewen Shen, Bin Zhao, Runlong Cai, Shuxiao Wang, Yang Gao, Manish Shrivastava, Da Gao, Jun Zheng, Markku Kulmala, and Jingkun Jiang
Atmos. Chem. Phys., 23, 8789–8804, https://doi.org/10.5194/acp-23-8789-2023, https://doi.org/10.5194/acp-23-8789-2023, 2023
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We set up a new parameterization for 1.4 nm particle formation rates from sulfuric acid–dimethylamine (SA–DMA) nucleation, fully including the effects of coagulation scavenging and cluster stability. Incorporating the new parameterization into 3-D chemical transport models, we achieved better consistencies between simulation results and observation data. This new parameterization provides new insights into atmospheric nucleation simulations and its effects on atmospheric pollution or health.
Zhenming Wang, Shaoqing Zhang, Yishuai Jin, Yinglai Jia, Yangyang Yu, Yang Gao, Xiaolin Yu, Mingkui Li, Xiaopei Lin, and Lixin Wu
Geosci. Model Dev., 16, 705–717, https://doi.org/10.5194/gmd-16-705-2023, https://doi.org/10.5194/gmd-16-705-2023, 2023
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To improve the numerical model predictability of monthly extended-range scales, we use the simplified slab ocean model (SOM) to restrict the complicated sea surface temperature (SST) bias from a 3-D dynamical ocean model. As for SST prediction, whether in space or time, the WRF-SOM is verified to have better performance than the WRF-ROMS, which has a significant impact on the atmosphere. For extreme weather events such as typhoons, the predictions of WRF-SOM are in good agreement with WRF-ROMS.
Irene Cheng, Leiming Zhang, Zhuanshi He, Hazel Cathcart, Daniel Houle, Amanda Cole, Jian Feng, Jason O'Brien, Anne Marie Macdonald, Julian Aherne, and Jeffrey Brook
Atmos. Chem. Phys., 22, 14631–14656, https://doi.org/10.5194/acp-22-14631-2022, https://doi.org/10.5194/acp-22-14631-2022, 2022
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Nitrogen (N) and sulfur (S) deposition decreased significantly at 14 Canadian sites during 2000–2018. The greatest decline was observed in southeastern Canada owing to regional SO2 and NOx reductions. Wet deposition was more important than dry deposition, comprising 71–95 % of total N and 45–89 % of total S deposition. While critical loads (CLs) were exceeded at a few sites in the early 2000s, acidic deposition declined below CLs after 2012, which signifies recovery from legacy acidification.
Yangyang Yu, Shaoqing Zhang, Haohuan Fu, Lixin Wu, Dexun Chen, Yang Gao, Zhiqiang Wei, Dongning Jia, and Xiaopei Lin
Geosci. Model Dev., 15, 6695–6708, https://doi.org/10.5194/gmd-15-6695-2022, https://doi.org/10.5194/gmd-15-6695-2022, 2022
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To understand the scientific consequence of perturbations caused by slave cores in heterogeneous computing environments, we examine the influence of perturbation amplitudes on the determination of the cloud bottom and cloud top and compute the probability density function (PDF) of generated clouds. A series of comparisons of the PDFs between homogeneous and heterogeneous systems show consistently acceptable error tolerances when using slave cores in heterogeneous computing environments.
Baoshuang Liu, Yanyang Wang, He Meng, Qili Dai, Liuli Diao, Jianhui Wu, Laiyuan Shi, Jing Wang, Yufen Zhang, and Yinchang Feng
Atmos. Chem. Phys., 22, 8597–8615, https://doi.org/10.5194/acp-22-8597-2022, https://doi.org/10.5194/acp-22-8597-2022, 2022
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Understanding effectiveness of air pollution regulatory measures is critical for control policy. Machine learning and dispersion-normalized approaches were applied to decouple meteorologically deduced variations in Qingdao, China. Most pollutant concentrations decreased substantially after the Clean Air Action Plan. The largest emission reduction was from coal combustion and steel-related smelting. Qingdao is at risk of increased emissions from increased vehicular population and ozone pollution.
Xiajie Yang, Qiaoqiao Wang, Nan Ma, Weiwei Hu, Yang Gao, Zhijiong Huang, Junyu Zheng, Bin Yuan, Ning Yang, Jiangchuan Tao, Juan Hong, Yafang Cheng, and Hang Su
Atmos. Chem. Phys., 22, 3743–3762, https://doi.org/10.5194/acp-22-3743-2022, https://doi.org/10.5194/acp-22-3743-2022, 2022
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We use the GEOS-Chem model with additional anthropogenic and biomass burning chlorine emissions combined with updated parameterizations for N2O5 ＋ Cl chemistry to investigate the impacts of chlorine chemistry on air quality in China. Our study not only significantly improves the model's performance but also demonstrates the importance of non-sea-salt chlorine sources as well as an appropriate parameterization for N2O5 ＋ Cl chemistry to the impact of chlorine chemistry in China.
Yating Gao, Dihui Chen, Yanjie Shen, Yang Gao, Huiwang Gao, and Xiaohong Yao
Atmos. Chem. Phys., 22, 1515–1528, https://doi.org/10.5194/acp-22-1515-2022, https://doi.org/10.5194/acp-22-1515-2022, 2022
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This study focuses on spatiotemporal heterogeneity of observed gaseous amines, NH3, their particulate counterparts in PM2.5 over different sea zones, and the disproportional release of alkaline gases and corresponding particulate counterparts from seawater in the sea zones in terms of different extents of enrichment of TMAH+ and DMAH+ in the sea surface microlayer (SML). A novel hypothesis is delivered.
Ying Zhou, Simo Hakala, Chao Yan, Yang Gao, Xiaohong Yao, Biwu Chu, Tommy Chan, Juha Kangasluoma, Shahzad Gani, Jenni Kontkanen, Pauli Paasonen, Yongchun Liu, Tuukka Petäjä, Markku Kulmala, and Lubna Dada
Atmos. Chem. Phys., 21, 17885–17906, https://doi.org/10.5194/acp-21-17885-2021, https://doi.org/10.5194/acp-21-17885-2021, 2021
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We characterized the connection between new particle formation (NPF) events in terms of frequency, intensity and growth at a near-highway location in central Beijing and at a background mountain site 80 km away. Due to the substantial contribution of NPF to the global aerosol budget, identifying the conditions that promote the occurrence of regional NPF events could help understand their contribution on a large scale and would improve their implementation in global models.
Liang Xu, Xiaohuan Liu, Huiwang Gao, Xiaohong Yao, Daizhou Zhang, Lei Bi, Lei Liu, Jian Zhang, Yinxiao Zhang, Yuanyuan Wang, Qi Yuan, and Weijun Li
Atmos. Chem. Phys., 21, 17715–17726, https://doi.org/10.5194/acp-21-17715-2021, https://doi.org/10.5194/acp-21-17715-2021, 2021
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We quantified different types of marine aerosols and explored the Cl depletion of sea salt aerosol (SSA) in the eastern China seas and the northwestern Pacific Ocean. We found that anthropogenic acidic gases in the troposphere were transported longer distances compared to the anthropogenic aerosols and could significantly impact remote marine aerosols. Meanwhile, variations of chloride depletion in SSA can serve as a potential indicator for anthropogenic gaseous pollutants in remote marine air.
Dihui Chen, Yanjie Shen, Juntao Wang, Yang Gao, Huiwang Gao, and Xiaohong Yao
Atmos. Chem. Phys., 21, 16413–16425, https://doi.org/10.5194/acp-21-16413-2021, https://doi.org/10.5194/acp-21-16413-2021, 2021
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The study provides solid evidence to demonstrate that atmospheric trimethylamine (TMAgas) and particulate trimethylaminium in PM2.5 (TMAH+) observed in marine atmospheres were uniquely derived from seawater emissions. As sea-derived TMAgas correlated significantly with DMAgas and NH3gas, sea-derived DMAgas and NH3gas can be estimated and can quantify the contribution to the observed species in the marine atmosphere. Similarly, the contributions of primary DMAH+ have also been estimated.
Hui Zhang, Xuewu Fu, Ben Yu, Baoxin Li, Peng Liu, Guoqing Zhang, Leiming Zhang, and Xinbin Feng
Atmos. Chem. Phys., 21, 15847–15859, https://doi.org/10.5194/acp-21-15847-2021, https://doi.org/10.5194/acp-21-15847-2021, 2021
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Our observations of speciated atmospheric mercury at the Waliguan GAW Baseline Observatory show that concentrations of gaseous elemental mercury (GEM) and particulate bound mercury (PBM) were elevated compared to the Northern Hemisphere background. We propose that the major sources of GEM and PBM were mainly related to anthropogenic emissions and desert dust sources. This study highlights that dust-related sources played an important role in the variations of PBM in the Tibetan Plateau.
Zhiyong Wu, Leiming Zhang, John T. Walker, Paul A. Makar, Judith A. Perlinger, and Xuemei Wang
Geosci. Model Dev., 14, 5093–5105, https://doi.org/10.5194/gmd-14-5093-2021, https://doi.org/10.5194/gmd-14-5093-2021, 2021
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A community dry deposition algorithm for modeling the gaseous dry deposition process in chemistry transport models was extended to include an additional 12 oxidized volatile organic compounds and hydrogen cyanide based on their physicochemical properties and was then evaluated using field flux measurements over a mixed forest. This study provides a useful tool that is needed in chemistry transport models with increasing complexity for simulating an important atmospheric process.
Katherine Hayden, Shao-Meng Li, Paul Makar, John Liggio, Samar G. Moussa, Ayodeji Akingunola, Robert McLaren, Ralf M. Staebler, Andrea Darlington, Jason O'Brien, Junhua Zhang, Mengistu Wolde, and Leiming Zhang
Atmos. Chem. Phys., 21, 8377–8392, https://doi.org/10.5194/acp-21-8377-2021, https://doi.org/10.5194/acp-21-8377-2021, 2021
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We developed a method using aircraft measurements to determine lifetimes with respect to dry deposition for oxidized sulfur and nitrogen compounds over the boreal forest in Alberta, Canada. Atmospheric lifetimes were significantly shorter than derived from chemical transport models with differences related to modelled dry deposition velocities. The shorter lifetimes suggest models need to reassess dry deposition treatment and predictions of sulfur and nitrogen in the atmosphere and ecosystems.
Xuewu Fu, Chen Liu, Hui Zhang, Yue Xu, Hui Zhang, Jun Li, Xiaopu Lyu, Gan Zhang, Hai Guo, Xun Wang, Leiming Zhang, and Xinbin Feng
Atmos. Chem. Phys., 21, 6721–6734, https://doi.org/10.5194/acp-21-6721-2021, https://doi.org/10.5194/acp-21-6721-2021, 2021
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TGM concentrations and isotopic compositions in 10 Chinese cities showed strong seasonality with higher TGM concentrations and Δ199Hg and lower δ202Hg in summer. We found the seasonal variations in TGM concentrations and isotopic compositions were highly related to regional surface Hg(0) emissions, suggesting land surface Hg(0) emissions are an important source of atmospheric TGM that contribute dominantly to the seasonal variations in TGM concentrations and isotopic compositions.
Cited articles
Astitha, M., Luo, H., Rao, S. T., Hogrefe, C., Mathur, R., and Kumar, N.:
Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States, Atmos. Environ., 164, 102–116, https://doi.org/10.1016/j.atmosenv.2017.05.020, 2017.
Aziz, J. J., Ling, M., Rifai, H. S., Newell, C. J., and Gonzales, J. R.:
MAROS: a decision support system for optimizing monitoring plans, Ground Water, 41, 355–367, https://doi.org/10.1111/j.1745-6584.2003.tb02605.x, 2003.
Bauwens, M., Compernolle, S., Stavrakou, T., Muller, J. F., van Gent, J., Eskes, H., Levelt, P. F., van der, A. R., Veefkind, J. P., Vlietinck, J., Yu, H., and Zehner, C.:
Impact of coronavirus outbreak on NO2 pollution assessed using TROPOMI and OMI observations, Geophys. Res. Lett., 47, e2020GL087978, https://doi.org/10.1029/2020GL087978, 2020.
Borlaza, L. J., Weber, S., Marsal, A., Uzu, G., Jacob, V., Besombes, J.-L., Chatain, M., Conil, S., and Jaffrezo, J.-L.:
Nine-year trends of PM10 sources and oxidative potential in a rural background site in France, Atmos. Chem. Phys., 22, 8701–8723, https://doi.org/10.5194/acp-22-8701-2022, 2022.
Carslaw, D. C.: Worldmet: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD), R package version 0.9.5, https://cran.r-project.org/package=worldmet (last access: 13 December 2022), 2021.
Carslaw, D. C. and Taylor, P. J.:
Analysis of air pollution data at a mixed source location using boosted regression trees, Atmos. Environ., 43, 3563–3570, https://doi.org/10.1016/j.atmosenv.2009.04.001, 2009.
Carslaw, D. C., Williams, M. L., and Barratt, B.:
A short-term intervention study — Impact of airport closure due to the eruption of Eyjafjallajökull on near-field air quality, Atmos. Environ., 54, 328–336, https://doi.org/10.1016/j.atmosenv.2012.02.020, 2012.
Chan, C. K. and Yao, X. H.:
Air pollution in mega cities in China, Atmos. Environ., 42, 1–42, https://doi.org/10.1016/j.atmosenv.2007.09.003, 2008.
Chang, Y., Huang, R. J., Ge, X., Huang, X., Hu, J., Duan, Y., Zou, Z., Liu, X., and Lehmann, M. F.:
Puzzling Haze Events in China During the Coronavirus (COVID-19) Shutdown, Geophys. Res. Lett., 47, e2020GL088533, https://doi.org/10.1029/2020GL088533, 2020.
Chen, J., Li, C., Ristovski, Z., Milic, A., Gu, Y., Islam, M. S., Wang, S., Hao, J., Zhang, H., He, C., Guo, H., Fu, H., Miljevic, B., Morawska, L., Thai, P., Lam, Y. F., Pereira, G., Ding, A., Huang, X., and Dumka, U. C.:
A review of biomass burning: Emissions and impacts on air quality, health and climate in China, Sci. Total Environ., 579, 1000–1034, https://doi.org/10.1016/j.scitotenv.2016.11.025, 2017.
Chen, L., Zhu, J., Liao, H., Yang, Y., and Yue, X.:
Meteorological influences on PM2.5 and O3 trends and associated health burden since China's clean air actions, Sci. Total Environ., 744, 140837, https://doi.org/10.1016/j.scitotenv.2020.140837, 2020.
Chen, X. K., Jiang, Z., Shen, Y. N., Li, R., Fu, Y. F., Liu, J., Han, H., Liao, H., Cheng, X. G., Jones, D. B. A., Worden, H., and González Abad, G.: Chinese regulations are working – why is surface ozone over industrialized areas still high? Applying lessons from Northeast US air quality evolution, Geophys. Res. Lett., 48, e2021GL092816, https://doi.org/10.1029/2021gl092816, 2021.
China National Environmental Monitoring Centre: Real time data of urban air quality, CNEMC [data set], http://www.cnemc.cn/sssj/ (last access: 13 December 2022), 2010.
Colominas, M. A., Schlotthauer, G., and Torres, M. E.:
Improved complete ensemble EMD: A suitable tool for biomedical signal processing, Biomed. Signal Proces., 14, 19–29, https://doi.org/10.1016/j.bspc.2014.06.009, 2014.
Dai, Q. L., Hou, L. L., Liu, B. W., Zhang, Y. F., Song, C. B., Shi, Z. B., Hopke, P. K., and Feng, Y. C.:
Spring Festival and COVID-19 lockdown:disentangling PM sources in major Chinese cities, Geophys. Res. Lett., 48, e2021GL093403, https://doi.org/10.1029/2021gl093403, 2021.
Dang, R. J., Liao, H., and Fu, Y.:
Quantifying the anthropogenic and meteorological influences on summertime surface ozone in China over 2012–2017, Sci. Total Environ., 754, 142394, https://doi.org/10.1016/j.scitotenv.2020.142394, 2021.
Enayati, A. F., Pakbin, P., Hasheminassab, S., Epstein, S. A., Li, X., Polidori, A., and Low, J.: Long-term trends of PM2.5 and its carbon content in the South Coast Air Basin: A focus on the impact of wildfires, Atmos. Environ., 255, 118431, https://doi.org/10.1016/j.atmosenv.2021.118431, 2021.
Foley, K. M., Hogrefe, C., Pouliot, G., Possiel, N., Roselle, S. J., Simon, H., and Timin, B.:
Dynamic evaluation of CMAQ part I: Separating the effects of changing emissions and changing meteorology on ozone levels between 2002 and 2005 in the eastern US, Atmos. Environ., 103, 247–255, https://doi.org/10.1016/j.atmosenv.2014.12.038, 2015.
Fu, H. Y., Zhang, Y. T., Liao, C., Mao, L., Wang, Z. Y., and Hong, N. N.:
Investigating PM2.5 responses to other air pollutants and meteorological factors across multiple temporal scales, Sci. Rep.-UK, 10, 15639, https://doi.org/10.1038/s41598-020-72722-z, 2020.
Gong, S., Liu, H., Zhang, B., He, J., Zhang, H., Wang, Y., Wang, S., Zhang, L., and Wang, J.:
Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index, Atmos. Chem. Phys., 21, 2999–3013, https://doi.org/10.5194/acp-21-2999-2021, 2021.
Grange, S. K. and Carslaw, D. C.:
Using meteorological normalisation to detect interventions in air quality time series, Sci. Total Environ., 653, 578–588, https://doi.org/10.1016/j.scitotenv.2018.10.344, 2019.
Grange, S. K., Carslaw, D. C., Lewis, A. C., Boleti, E., and Hueglin, C.:
Random forest meteorological normalisation models for Swiss PM10 trend analysis, Atmos. Chem. Phys., 18, 6223–6239, https://doi.org/10.5194/acp-18-6223-2018, 2018.
He, G., Deng, T., Wu, D., Wu, C., Huang, X. F., Li, Z. N., Yin, C. Q., Zou, Y., Song, L., Ouyang, S. S., Tao, L. P., and Zhang, X.: Characteristics of boundary layer ozone and its effect on surface ozone concentration in Shenzhen, China: A case study, Sci. Total Environ., 791, 148044, https://doi.org/10.1016/j.scitotenv.2021.148044, 2021.
He, J. J., Gong, S. L., Yu, Y., Yu, L. J., Wu, L., Mao, H. J., Song, C. B., Zhao, S. P., Liu, H. L., Li, X. Y., and Li, R. P.:
Air pollution characteristics and their relation to meteorological conditions during 2014-2015 in major Chinese cities, Environ. Pollut., 223, 484–496, https://doi.org/10.1016/j.envpol.2017.01.050, 2017.
He, K. B., Huo, H., and Zhang, Q.:
Urban Air Pollution in China: Current Status, Characteristics, and Progress, Annu. Rev. Energ. Env., 27, 397–431, https://doi.org/10.1146/annurev.energy.27.122001.083421, 2002.
He, Y. X., Pan, Y. P., Gu, M. N., Sun, Q., Zhang, Q. Q., Zhang, R. J., and Wang, Y. S.: Changes of ammonia concentrations in wintertime on the North China Plain from 2018 to 2020, Atmos. Res., 253, 105490, https://doi.org/10.1016/j.atmosres.2021.105490, 2021.
Henneman, L. R. F., Holmes, H. A., Mulholland, J. A., and Russell, A. G.:
Meteorological detrending of primary and secondary pollutant concentrations: Method application and evaluation using long-term (2000–2012) data in Atlanta, Atmos. Environ., 119, 201–210, https://doi.org/10.1016/j.atmosenv.2015.08.007, 2015.
Hogrefe, C., Rao, S. T., Zurbenko, I. G., and Porter, P. S.:
Interpreting the Information in Ozone Observations and Model Predictions Relevant to Regulatory Policies in the Eastern United States, B. Am. Meteorol. Soc., 81, 2083–2106, https://doi.org/10.1175/1520-0477(2000)081<2083:itiioo>2.3.co;2, 2000.
Hogrefe, C., Vempaty, S., Rao, S. T., and Porter, P. S.:
A comparison of four techniques for separating different time scales in atmospheric variables, Atmos. Environ., 37, 313–325, https://doi.org/10.1016/S1352-2310(02)00897-X, 2002.
Hou, L. L., Dai, Q. L., Song, C. B., Liu, B. W., Guo, F. Z., Dai, T. J., Li, L. X., Liu, B. S., Bi, X. H., Zhang, Y. F., and Feng, Y. C.:
Revealing Drivers of Haze Pollution by Explainable Machine Learning, Environ. Sci. Tech. Let., 9, 112–119, https://doi.org/10.1021/acs.estlett.1c00865, 2022.
Hu, M. M., Wang, Y. F., Wang, S., Jiao, M. Y., Huang, G. H., and Xia, B. C.:
Spatial-temporal heterogeneity of air pollution and its relationship with meteorological factors in the Pearl River Delta, China, Atmos. Environ., 254, 118415, https://doi.org/10.1016/j.atmosenv.2021.118415, 2021.
Kampata, J. M., Parida, B. P., and Moalafhi, D. B.:
Trend analysis of rainfall in the headstreams of the Zambezi River Basin in Zambia, Phys. Chem. Earth, 33, 621–625, https://doi.org/10.1016/j.pce.2008.06.012, 2008.
Laszuk, D.: PyEMD: Python implementation of Empirical Mode Decomposition algorithm, Python package version 1.2.0, https://pypi.org/project/EMD-signal/ (last access: 13 December 2022), 2017.
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.
Li, R., Wang, Z. Z., Cui, L. L., Fu, H. B., Zhang, L. W., Kong, L. D., Chen, W. D., and Chen, J. M.:
Air pollution characteristics in China during 2015-2016: Spatiotemporal variations and key meteorological factors, Sci. Total Environ., 648, 902–915, https://doi.org/10.1016/j.scitotenv.2018.08.181, 2019.
Li, R., Cui, L. L., Hongbo, F., Li, J. L., Zhao, Y. L., and Chen, J. M.:
Satellite-based estimation of full-coverage ozone (O3) concentration and health effect assessment across Hainan Island, J. Clean. Prod., 244, 118773, https://doi.org/10.1016/j.jclepro.2019.118773, 2020.
Lin, C. Q., Lau, A. K. H., Fung, J. C. H., Song, Y. S., Li, Y., Tao, M. H., Lu, X. C., Ma, J., and Lao, X. Q.:
Removing the effects of meteorological factors on changes in nitrogen dioxide and ozone concentrations in China from 2013 to 2020, Sci. Total Environ., 793, 148575, https://doi.org/10.1016/j.scitotenv.2021.148575, 2021.
Lin, Y.: A function for calculating deweathered percentage changes, PyPI [code], https://pypi.org/project/DePC/, last access: 13 December 2022.
Liu, X., Chang, M., Zhang, J., Wang, J., Gao, H., Gao, Y., and Yao, X.:
Rethinking the causes of extreme heavy winter PM2.5 pollution events in northern China, Sci. Total Environ., 794, 148637, https://doi.org/10.1016/j.scitotenv.2021.148637, 2021.
Liu, X. F., Guo, H., Zeng, L. W., Lyu, X. P., Wang, Y., Zeren, Y. Z., Yang, J., Zhang, L. Y., Zhao, S. Z., Li, J., and Zhang, G.: Photochemical ozone pollution in five Chinese megacities in summer 2018, Sci. Total Environ., 801, 149603, https://doi.org/10.1016/j.scitotenv.2021.149603, 2021.
Lovric, M., Pavlovic, K., Vukovic, M., Grange, S. K., Haberl, M., and Kern, R.:
Understanding the true effects of the COVID-19 lockdown on air pollution by means of machine learning, Environ. Pollut., 274, 115900, https://doi.org/10.1016/j.envpol.2020.115900, 2021.
Luo, H., Astitha, M., Hogrefe, C., Mathur, R., and Rao, S. T.:
Evaluating trends and seasonality in modeled PM2.5 concentrations using empirical mode decomposition, Atmos. Chem. Phys., 20, 13801–13815, https://doi.org/10.5194/acp-20-13801-2020, 2020.
Ma, R. M., Ban, J., Wang, Q., Zhang, Y. Y., Yang, Y., He, M. Z., Li, S. S., Shi, W. J., and Li, T. T.:
Random forest model based fine scale spatiotemporal O3 trends in the Beijing–Tianjin–Hebei region in China, 2010 to 2017, Environ. Pollut., 276, 116635, https://doi.org/10.1016/j.envpol.2021.116635, 2021.
Mallet, M. D.: Meteorological normalisation of PM10 using machine learning reveals distinct increases of nearby source emissions in the Australian mining town of Moranbah, Atmos. Pollut. Res., 12, 23–35, https://doi.org/10.1016/j.apr.2020.08.001, 2020.
Munir, S., Luo, Z., and Dixon, T.: Comparing different approaches for assessing the impact of COVID-19 lockdown on urban air quality in Reading, UK, Atmos. Res., 261, 105730, https://doi.org/10.1016/j.atmosres.2021.105730, 2021.
Otero, N., Sillmann, J., Mar, K. A., Rust, H. W., Solberg, S., Andersson, C., Engardt, M., Bergström, R., Bessagnet, B., Colette, A., Couvidat, F., Cuvelier, C., Tsyro, S., Fagerli, H., Schaap, M., Manders, A., Mircea, M., Briganti, G., Cappelletti, A., Adani, M., D'Isidoro, M., Pay, M.-T., Theobald, M., Vivanco, M. G., Wind, P., Ojha, N., Raffort, V., and Butler, T.:
A multi-model comparison of meteorological drivers of surface ozone over Europe, Atmos. Chem. Phys., 18, 12269–12288, https://doi.org/10.5194/acp-18-12269-2018, 2018.
Qiu, M., Zigler, C., and Selin, N. E.:
Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions, Atmos. Chem. Phys., 22, 10551–10566, https://doi.org/10.5194/acp-22-10551-2022, 2022.
Qu, L. L., Liu, S. J., Ma, L. L., Zhang, Z. Z., Du, J. H., Zhou, Y. H., and Meng, F.:
Evaluating the meteorological normalized PM2.5 trend (2014-2019) in the “2 + 26” region of China using an ensemble learning technique, Environ. Pollut., 266, 115346, https://doi.org/10.1016/j.envpol.2020.115346, 2020.
Rao, S. T., Zurbenko, I. G., Neagu, R., Porter, P. S., Ku, J. Y., and Henry, R. F.:
Space and Time Scales in Ambient Ozone Data, B. Am. Meteorol. Soc., 78, 2153–2166, https://doi.org/10.1175/1520-0477(1997)078<2153:satsia>2.0.co;2, 1997.
Seinfeld, J. H. and Pandis, S. N.: Atmospheric Chemistry and Physics: From Air Pollution to Climate Change, Wiley, ISBN 9780471720188, 1998.
Shen, H. Q., Liu, Y. H., Zhao, M., Li, J., Zhang, Y. N., Yang, J., Jiang, Y., Chen, T. S., Chen, M., Huang, X. B., Li, C. L., Guo, D. L., Sun, X. Y., Xue, L. K., and Wang, W. X.:
Significance of carbonyl compounds to photochemical ozone formation in a coastal city (Shantou) in eastern China, Sci. Total Environ., 764, 144031, https://doi.org/10.1016/j.scitotenv.2020.144031, 2021.
Shen, Y., Meng, H., Yao, X., Peng, Z., Sun, Y., Zhang, J., Gao, Y., Feng, L., Liu, X., and Gao, H.:
Does Ambient Secondary Conversion or the Prolonged Fast Conversion in Combustion Plumes Cause Severe PM2.5 Air Pollution in China?, Atmosphere, 13, 673, https://doi.org/10.3390/atmos13050673, 2022.
Shi, X. Q. and Brasseur, G. P.:
The Response in Air Quality to the Reduction of Chinese Economic Activities During the COVID-19 Outbreak, Geophys. Res. Lett., 47, e2020GL088070, https://doi.org/10.1029/2020GL088070, 2020.
Shi, Z. B., Song, C. B., Liu, B. W., Lu, G. D., Xu, J. S., Vu, T. V., Elliott, R. J. R., Li, W. J., Bloss, W. J., and Harrison, R. M.: Abrupt but smaller than expected changes in surface air quality attributable to COVID-19 lockdowns, Sci. Adv., 7, eabd6696, https://doi.org/10.1126/sciadv.abd6696, 2021.
Sicard, P., De Marco, A., Agathokleous, E., Feng, Z., Xu, X., Paoletti, E., Rodriguez, J. J. D., and Calatayud, V.:
Amplified ozone pollution in cities during the COVID-19 lockdown, Sci. Total Environ., 735, 139542, https://doi.org/10.1016/j.scitotenv.2020.139542, 2020.
USEPA: Guidance on the Use of Models and Other Analyses for Demonstrating Attainment of Air Quality Goals for Ozone, PM2.5, and Regional Haze, EPA-454/B-07-002, https://nepis.epa.gov/Exe/ZyPURL.cgi?Dockey=P1009OL1.txt (last access: 13 December 2022), 2007.
Vu, T. V., Shi, Z., Cheng, J., Zhang, Q., He, K., Wang, S., and Harrison, R. M.:
Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique, Atmos. Chem. Phys., 19, 11303–11314, https://doi.org/10.5194/acp-19-11303-2019, 2019.
Wang, N., Xu, J. W., Pei, C. L., Tang, R., Zhou, D. R., Chen, Y. N., Li, M., Deng, X. J., Deng, T., Huang, X., and Ding, A. J.:
Air Quality During COVID-19 Lockdown in the Yangtze River Delta and the Pearl River Delta: Two Different Responsive Mechanisms to Emission Reductions in China, Environ. Sci. Technol., 55, 5721–5730, https://doi.org/10.1021/acs.est.0c08383, 2021.
Wang, T., Xue, L. K., Brimblecombe, P., Lam, Y. F., Li, L., and Zhang, L.:
Ozone pollution in China: A review of concentrations, meteorological influences, chemical precursors, and effects, Sci. Total Environ., 575, 1582–1596, https://doi.org/10.1016/j.scitotenv.2016.10.081, 2017.
Wang, Y. J., Wen, Y. F., Wang, Y., Zhang, S. J., Zhang, K. M., Zheng, H. T., Xing, J., Wu, Y., and Hao, J. M.:
Four-Month Changes in Air Quality during and after the COVID-19 Lockdown in Six Megacities in China, Environ. Sci. Tech. Let., 7, 802–808, https://doi.org/10.1021/acs.estlett.0c00605, 2020.
Wright, M. N. and Ziegler, A.:
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C
Xiao, Q., Zheng, Y., Geng, G., Chen, C., Huang, X., Che, H., Zhang, X., He, K., and Zhang, Q.:
Separating emission and meteorological contributions to long-term PM2.5 trends over eastern China during 2000–2018, Atmos. Chem. Phys., 21, 9475–9496, https://doi.org/10.5194/acp-21-9475-2021, 2021.
Xu, X. H. and Zhang, T. C.:
Spatial-temporal variability of PM2.5 air quality in Beijing, China during 2013-2018, J. Environ. Manage., 262, 110263, https://doi.org/10.1016/j.jenvman.2020.110263, 2020.
Xue, T., Zheng, Y. X., Geng, G. N., Xiao, Q. Y., Meng, X., Wang, M., Li, X., Wu, N. N., Zhang, Q., and Zhu, T.:
Estimating Spatiotemporal Variation in Ambient Ozone Exposure during 2013-2017 Using a Data-Fusion Model, Environ. Sci. Technol., 54, 14877–14888, https://doi.org/10.1021/acs.est.0c03098, 2020.
Yao, X. and Zhang, L.:
Decoding long-term trends in the wet deposition of sulfate, nitrate, and ammonium after reducing the perturbation from climate anomalies, Atmos. Chem. Phys., 20, 721–733, https://doi.org/10.5194/acp-20-721-2020, 2020.
Yao, X. H., Xu, X. H., Sabaliauskas, K., and Fang, M.:
Comment on “Atmospheric particulate matter pollution during the 2008 Beijing Olympics”, Environ. Sci. Technol., 43, 7589; author reply 7590–7581, https://doi.org/10.1021/es902276p, 2009.
Zhai, S., Jacob, D. J., Wang, X., Shen, L., Li, K., Zhang, Y., Gui, K., Zhao, T., and Liao, H.:
Fine particulate matter (PM2.5) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology, Atmos. Chem. Phys., 19, 11031–11041, https://doi.org/10.5194/acp-19-11031-2019, 2019.
Zhang, G., Gao, Y., Cai, W., Leung, L. R., Wang, S., Zhao, B., Wang, M., Shan, H., Yao, X., and Gao, H.: Seesaw haze pollution in North China modulated by the sub-seasonal variability of atmospheric circulation, Atmos. Chem. Phys., 19, 565–576, https://doi.org/10.5194/acp-19-565-2019, 2019.
Zhang, X. Y., Xu, X. D., Ding, Y. H., Liu, Y. J., Zhang, H. D., Wang, Y. Q., and Zhong, J. T.: The impact of meteorological changes from 2013 to 2017 on PM2.5 mass reduction in key regions in China, Sci. China Earth Sci., 62, 1885–1902, https://doi.org/10.1007/s11430-019-9343-3, 2019.
Zhang, Y. M., Vu, T. V., Sun, J. Y., He, J. J., Shen, X. J., Lin, W. L., Zhang, X. Y., Zhong, J. T., Gao, W. K., Wang, Y. Q., Fu, T. M., Ma, Y. P., Li, W. J., and Shi, Z. B.:
Significant Changes in Chemistry of Fine Particles in Wintertime Beijing from 2007 to 2017: Impact of Clean Air Actions, Environ. Sci. Technol., 54, 1344–1352, https://doi.org/10.1021/acs.est.9b04678, 2020.
Zhao, H., Chen, K. Y., Liu, Z., Zhang, Y. X., Shao, T., and Zhang, H. L.:
Coordinated control of PM2.5 and O3 is urgently needed in China after implementation of the “Air pollution prevention and control action plan”, Chemosphere, 270, 129441, https://doi.org/10.1016/j.chemosphere.2020.129441, 2021.
Zhao, Y. B., Zhang, K., Xu, X. T., Shen, H. Z., Zhu, X., Zhang, Y. X., Hu, Y. T., and Shen, G. F.:
Substantial Changes in Nitrogen Dioxide and Ozone after Excluding Meteorological Impacts during the COVID-19 Outbreak in Mainland China, Environ. Sci. Tech. Let., 7, 402–408, https://doi.org/10.1021/acs.estlett.0c00304, 2020.
Zheng, B., Zhang, Q., Zhang, Y., He, K. B., Wang, K., Zheng, G. J., Duan, F. K., Ma, Y. L., and Kimoto, T.:
Heterogeneous chemistry: a mechanism missing in current models to explain secondary inorganic aerosol formation during the January 2013 haze episode in North China, Atmos. Chem. Phys., 15, 2031–2049, https://doi.org/10.5194/acp-15-2031-2015, 2015.
Zhou, J. G. and Chen, D. F.:
Carbon Price Forecasting Based on Improved CEEMDAN and Extreme Learning Machine Optimized by Sparrow Search Algorithm, Sustainability-Basel, 13, 4896, https://doi.org/10.3390/su13094896, 2021.
Short summary
In this study, we analyzed 7-year (from May 2014 to April 2021) concentration data of six criteria air pollutants (PM2.5, PM10, O3, NO2, CO and SO2) as well as the sum of NO2 and O3 in six cities in South China. Three different analysis methods were used to identify emission-driven interannual variations and perturbations from varying weather conditions. In addition, a self-developed method was further introduced to constrain analysis uncertainties.
In this study, we analyzed 7-year (from May 2014 to April 2021) concentration data of six...
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