Articles | Volume 19, issue 4
Atmos. Chem. Phys., 19, 2095–2113, 2019
https://doi.org/10.5194/acp-19-2095-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 19, 2095–2113, 2019
https://doi.org/10.5194/acp-19-2095-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 18 Feb 2019
Research article | 18 Feb 2019
Top-down estimate of black carbon emissions for city clusters using ground observations: a case study in southern Jiangsu, China
Xuefen Zhao et al.
Related authors
Yang Yang, Yu Zhao, Lei Zhang, Jie Zhang, Xin Huang, Xuefen Zhao, Yan Zhang, Mengxiao Xi, and Yi Lu
Atmos. Chem. Phys., 21, 1191–1209, https://doi.org/10.5194/acp-21-1191-2021, https://doi.org/10.5194/acp-21-1191-2021, 2021
Short summary
Short summary
We conducted new NOx emission estimation based on the satellite-derived NO2 column constraint and found reduced emissions compared to previous estimates for a developed region in east China. The subsequent improvement in air quality modeling was demonstrated based on available ground observations. With multiple emission reduction cases for various pollutants, we explored the effective control approaches for ozone and inorganic aerosol pollution.
Yan Zhang, Yu Zhao, Meng Gao, Xin Bo, and Chris P. Nielsen
Atmos. Chem. Phys., 21, 6411–6430, https://doi.org/10.5194/acp-21-6411-2021, https://doi.org/10.5194/acp-21-6411-2021, 2021
Short summary
Short summary
We combined air quality and exposure response models to analyze the benefits for air quality and human health of China’s ultra-low emission policy in one of its most developed regions. Atmospheric observations and the air quality model were also used to demonstrate improvement of emission inventories incorporating online emission monitoring data. With implementation of the policy in both power and industrial sectors, the attributable deaths due to PM2.5 exposure are estimated to decrease 5.5 %.
Yang Yang, Yu Zhao, Lei Zhang, Jie Zhang, Xin Huang, Xuefen Zhao, Yan Zhang, Mengxiao Xi, and Yi Lu
Atmos. Chem. Phys., 21, 1191–1209, https://doi.org/10.5194/acp-21-1191-2021, https://doi.org/10.5194/acp-21-1191-2021, 2021
Short summary
Short summary
We conducted new NOx emission estimation based on the satellite-derived NO2 column constraint and found reduced emissions compared to previous estimates for a developed region in east China. The subsequent improvement in air quality modeling was demonstrated based on available ground observations. With multiple emission reduction cases for various pollutants, we explored the effective control approaches for ozone and inorganic aerosol pollution.
Dong Chen, Yu Zhao, Jie Zhang, Huan Yu, and Xingna Yu
Atmos. Chem. Phys., 20, 10193–10210, https://doi.org/10.5194/acp-20-10193-2020, https://doi.org/10.5194/acp-20-10193-2020, 2020
Short summary
Short summary
We studied the characteristics and sources of aerosol scattering for Nanjing. The method of aerosol scattering estimation was optimized based on field measurements, and the impacts of aerosol size and composition were quantified. To explore the reasons for the reduced visibility, source apportionment of aerosol scattering was conducted by pollution level. This work stressed the linkage between aerosols and visibility and improved the understanding of emissions and their role in air quality.
Yu Zhao, Mengchen Yuan, Xin Huang, Feng Chen, and Jie Zhang
Atmos. Chem. Phys., 20, 4275–4294, https://doi.org/10.5194/acp-20-4275-2020, https://doi.org/10.5194/acp-20-4275-2020, 2020
Short summary
Short summary
We estimated the ammonia emissions based on the constant emission factors and those characterizing the agricultural processes for the Yangtze River Delta, China. The discrepancies between the two estimates and their causes were analyzed. Based on ground and satellite observations, the two estimates were evaluated with air quality modeling. This work indicates ways to improve the emission estimation and helps better understand the necessity of multi-pollutant control strategy.
Archana Dayalu, J. William Munger, Yuxuan Wang, Steven C. Wofsy, Yu Zhao, Thomas Nehrkorn, Chris Nielsen, Michael B. McElroy, and Rachel Chang
Atmos. Chem. Phys., 20, 3569–3588, https://doi.org/10.5194/acp-20-3569-2020, https://doi.org/10.5194/acp-20-3569-2020, 2020
Short summary
Short summary
China has pledged to reduce carbon dioxide emissions per unit GDP by 60–65 % relative to 2005 levels, and to peak carbon emissions overall by 2030. Disagreement among available inventories of Chinese emissions makes it difficult for China to track progress toward its goals and evaluate the efficacy of regional control measures. This study uses a unique set of historical atmospheric observations for the key period from 2005 to 2009 to independently evaluate three different CO2 emission estimates.
Lei Zhang, Peisheng Zhou, Shuzhen Cao, and Yu Zhao
Atmos. Chem. Phys., 19, 15587–15608, https://doi.org/10.5194/acp-19-15587-2019, https://doi.org/10.5194/acp-19-15587-2019, 2019
Short summary
Short summary
One of the most important processes in the global mercury biogeochemical cycling is the deposition of atmospheric mercury to the land surfaces. In this paper, results of wet, dry, and forest Hg deposition from global observation networks, individual monitoring studies, and observation-based simulations are reviewed. Uncertainties in the observation and simulation of global speciated atmospheric Hg deposition to the land surfaces are systemically estimated.
Y. Yang, Y. Zhao, and L. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W9, 211–217, https://doi.org/10.5194/isprs-archives-XLII-3-W9-211-2019, https://doi.org/10.5194/isprs-archives-XLII-3-W9-211-2019, 2019
Yang Yang and Yu Zhao
Atmos. Chem. Phys., 19, 327–348, https://doi.org/10.5194/acp-19-327-2019, https://doi.org/10.5194/acp-19-327-2019, 2019
Short summary
Short summary
We estimated and evaluated the air pollutant emissions from open biomass burning in the Yangtze River Delta with three methods. Chemistry transport modeling indicated that the constraining method provided the best emissions. The traditional bottom-up method could often overestimate emissions and could hardly track their interannual trends. The emissions based on fire radiative power might be underestimated, which is attributed to the satellite detection limit on small fires.
Archana Dayalu, J. William Munger, Steven C. Wofsy, Yuxuan Wang, Thomas Nehrkorn, Yu Zhao, Michael B. McElroy, Chris P. Nielsen, and Kristina Luus
Biogeosciences, 15, 6713–6729, https://doi.org/10.5194/bg-15-6713-2018, https://doi.org/10.5194/bg-15-6713-2018, 2018
Short summary
Short summary
Accounting for the vegetation signal is critical for comprehensive CO2 budget assessment in China. We model and evaluate hourly vegetation carbon dioxide (CO2) exchange (mass per unit area per unit time) in northern China from 2005 to 2009. The model is driven by satellite and meteorological data, is linked to ground-level ecosystem observations, and is applicable to other time periods. We find vegetation uptake of CO2 in summer is comparable to emissions from fossil fuels in northern China.
Archana Dayalu, J. William Munger, Yuxuan Wang, Steven C. Wofsy, Yu Zhao, Thomas Nehrkorn, Chris Nielsen, Michael B. McElroy, and Rachel Chang
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-632, https://doi.org/10.5194/acp-2018-632, 2018
Revised manuscript not accepted
Short summary
Short summary
China has pledged reduction of carbon dioxide emissions per unit GDP by 60–65 % relative to 2005 levels, and to peak carbon emissions overall by 2030. Disagreement among available inventories of Chinese emissions makes it difficult for China to track progress toward its goals and evaluate the efficacy of regional control measures. This study uses a unique set of historical atmospheric observations for the key period from 2005–2009 to independently evaluate three different CO2 emissions estimates.
Wen Xu, Lei Liu, Miaomiao Cheng, Yuanhong Zhao, Lin Zhang, Yuepeng Pan, Xiuming Zhang, Baojing Gu, Yi Li, Xiuying Zhang, Jianlin Shen, Li Lu, Xiaosheng Luo, Yu Zhao, Zhaozhong Feng, Jeffrey L. Collett Jr., Fusuo Zhang, and Xuejun Liu
Atmos. Chem. Phys., 18, 10931–10954, https://doi.org/10.5194/acp-18-10931-2018, https://doi.org/10.5194/acp-18-10931-2018, 2018
Short summary
Short summary
Our main results demonstrate that atmospheric Nr pollution in eastern China is more serious in the northern region than in the southern region. Any effects of current emission controls are not yet apparent in Nr pollution. NH3 emissions from fertilizer use were the largest contributor (36 %) to total inorganic Nr deposition. Our results provide useful information for policy-makers that mitigation of NH3 emissions should be a priority to tackle serious N deposition.
Yu Zhao, Pan Mao, Yaduan Zhou, Yang Yang, Jie Zhang, Shekou Wang, Yanping Dong, Fangjian Xie, Yiyong Yu, and Wenqing Li
Atmos. Chem. Phys., 17, 7733–7756, https://doi.org/10.5194/acp-17-7733-2017, https://doi.org/10.5194/acp-17-7733-2017, 2017
Short summary
Short summary
We improve and evaluate an NMVOC emission inventory for Jiangsu. Field measurements were conducted to obtain NMVOC source profiles of typical chemical engineering processes. The emission inventory of NMVOCs with chemistry profiles was developed for 2005–2014, and the uncertainties were quantified. The discrepancies between various inventories in source profiles and spatial patterns were evaluated. A chemistry transport model was applied to test the improvement of the provincial NMVOC inventory.
Eri Saikawa, Hankyul Kim, Min Zhong, Alexander Avramov, Yu Zhao, Greet Janssens-Maenhout, Jun-ichi Kurokawa, Zbigniew Klimont, Fabian Wagner, Vaishali Naik, Larry W. Horowitz, and Qiang Zhang
Atmos. Chem. Phys., 17, 6393–6421, https://doi.org/10.5194/acp-17-6393-2017, https://doi.org/10.5194/acp-17-6393-2017, 2017
Short summary
Short summary
We analyze differences in existing air pollutant emission estimates to better understand the magnitude of emissions as well as the source regions and sectors of air pollution in China. We find large disagreements among the inventories, and we show that these differences have a significant impact on regional air quality simulations. Better understanding of air pollutant emissions at more disaggregated levels is essential for air pollution mitigation in China.
Yaduan Zhou, Yu Zhao, Pan Mao, Qiang Zhang, Jie Zhang, Liping Qiu, and Yang Yang
Atmos. Chem. Phys., 17, 211–233, https://doi.org/10.5194/acp-17-211-2017, https://doi.org/10.5194/acp-17-211-2017, 2017
Short summary
Short summary
A high-resolution emission inventory was developed for Jiangsu, China, using the bottom-up approach. Through comparisons with other national and regional inventories, the best agreement between available ground observation and air quality simulation was found when the provincial inventory was applied. The result implied the advantage of improved emission inventory at local scale for high-resolution air quality modeling.
Jianlin Hu, Peng Wang, Qi Ying, Hongliang Zhang, Jianjun Chen, Xinlei Ge, Xinghua Li, Jingkun Jiang, Shuxiao Wang, Jie Zhang, Yu Zhao, and Yingyi Zhang
Atmos. Chem. Phys., 17, 77–92, https://doi.org/10.5194/acp-17-77-2017, https://doi.org/10.5194/acp-17-77-2017, 2017
Short summary
Short summary
An annual simulation of secondary organic aerosol (SOA) concentrations in China with updated SOA formation pathways reveals that SOA can be a significant contributor to PM2.5 in major urban areas. Summer SOA is dominated by emissions from biogenic sources, while winter SOA is dominated by anthropogenic emissions such as alkanes and aromatic compounds. Reactive surface uptake of dicarbonyls throughout the year and isoprene epoxides in summer is the most important contributor.
Hui Zhong, Yu Zhao, Marilena Muntean, Lei Zhang, and Jie Zhang
Atmos. Chem. Phys., 16, 15119–15134, https://doi.org/10.5194/acp-16-15119-2016, https://doi.org/10.5194/acp-16-15119-2016, 2016
Short summary
Short summary
A better understanding of the discrepancies in multi-scale emission inventories could provide indications for their limitations and further improvements. We develop a bottom-up inventory of Hg emissions for Jiangsu, China. Compared to the national and global inventories, the largest total Hg emissions and fraction of Hg2+ are estimated. The crucial parameters responsible for the differences include Hg contents in coals/materials, abatement rates of emission control devices, and activity levels.
Min Zhong, Eri Saikawa, Yang Liu, Vaishali Naik, Larry W. Horowitz, Masayuki Takigawa, Yu Zhao, Neng-Huei Lin, and Elizabeth A. Stone
Geosci. Model Dev., 9, 1201–1218, https://doi.org/10.5194/gmd-9-1201-2016, https://doi.org/10.5194/gmd-9-1201-2016, 2016
Short summary
Short summary
Large discrepancies exist among emission inventories (e.g., REAS and EDGAR) at the provincial level in China. We use WRF-Chem to evaluate the impact of the difference in existing emission inventories and find that emissions inputs significantly affect our air pollutant simulation results. Our study highlights the importance of constraining emissions at the provincial level for regional air quality modeling over East Asia.
Y. Zhao, L. P. Qiu, R. Y. Xu, F. J. Xie, Q. Zhang, Y. Y. Yu, C. P. Nielsen, H. X. Qin, H. K. Wang, X. C. Wu, W. Q. Li, and J. Zhang
Atmos. Chem. Phys., 15, 12623–12644, https://doi.org/10.5194/acp-15-12623-2015, https://doi.org/10.5194/acp-15-12623-2015, 2015
Short summary
Short summary
A high-resolution emission inventory of air pollutants and CO2 for Nanjing, a typical city in eastern China, is developed, incorporating the best available local information from on-site surveys. The temporal and spatial distribution of the emissions and the correlation between specific species of the inventory are assessed by comparisons with observations and other inventories at larger spatial scale. The emission inventory provides a basis to consider the quality of instrumental observations.
H. Cui, P. Mao, Y. Zhao, C. P. Nielsen, and J. Zhang
Atmos. Chem. Phys., 15, 8657–8678, https://doi.org/10.5194/acp-15-8657-2015, https://doi.org/10.5194/acp-15-8657-2015, 2015
Short summary
Short summary
We present an emission inventory with quantified uncertainties of organic carbon (OC) and elemental carbon (EC) in China. New emission factors from local measurements lead to lower OC emissions than previous studies. We use ground observations to test the levels, trends, and spatial pattern of the emissions. The improvement over prior inventories is indicated by inter-annual comparison and correlation analysis between emissions and observations. Sources with high primary OC/EC are underestimate.
Y. Zhao, H. Zhong, J. Zhang, and C. P. Nielsen
Atmos. Chem. Phys., 15, 4317–4337, https://doi.org/10.5194/acp-15-4317-2015, https://doi.org/10.5194/acp-15-4317-2015, 2015
Short summary
Short summary
China’s atmospheric Hg emissions of anthropogenic origin have been effectively restrained through the national policy of air pollution control. Expansion of technologies with high energy efficiencies and air pollutant removal rates leads to a much slower growth of Hg emissions than that of energy and economy. However, increased uncertainties of Hg emissions are quantified from 2005 to 2012, attributed to the unclear operation status or small sample size of field tests on those technologies.
Y. Zhao, J. Zhang, and C. P. Nielsen
Atmos. Chem. Phys., 14, 8849–8868, https://doi.org/10.5194/acp-14-8849-2014, https://doi.org/10.5194/acp-14-8849-2014, 2014
Y. Zhao, J. Zhang, and C. P. Nielsen
Atmos. Chem. Phys., 13, 487–508, https://doi.org/10.5194/acp-13-487-2013, https://doi.org/10.5194/acp-13-487-2013, 2013
Related subject area
Subject: Aerosols | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Aerosol radiative forcings induced by substantial changes in anthropogenic emissions in China from 2008 to 2016
A study of the effect of aerosols on surface ozone through meteorology feedbacks over China
Sensitivities to biological aerosol particle properties and ageing processes: potential implications for aerosol–cloud interactions and optical properties
Future changes in isoprene-epoxydiol-derived secondary organic aerosol (IEPOX SOA) under the Shared Socioeconomic Pathways: the importance of physicochemical dependency
Improving regional air quality predictions in the Indo-Gangetic Plain – case study of an intensive pollution episode in November 2017
Recommendations on benchmarks for numerical air quality model applications in China – Part 1: PM2.5 and chemical species
Global modeling studies of composition and decadal trends of the Asian Tropopause Aerosol Layer
Comparison of chemical lateral boundary conditions for air quality predictions over the contiguous United States during pollutant intrusion events
Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models
Size-resolved aerosol pH over Europe during summer
Insights into the aging of biomass burning aerosol from satellite observations and 3D atmospheric modeling: evolution of the aerosol optical properties in Siberian wildfire plumes
Global modeling of heterogeneous hydroxymethanesulfonate chemistry
Changes in source contributions of particulate matter during COVID-19 pandemic in the Yangtze River Delta, China
Future evolution of aerosols and implications for climate change in the Euro-Mediterranean region
Analysis of Secondary Organic Aerosol Simulation Bias in the Community Earth System Model (CESM2.1)
Source Apportionment of Fine Aerosol at an Urban Site of Beijing using a Chemical Mass Balance Model
Significant wintertime PM2.5 mitigation in the Yangtze River Delta, China, from 2016 to 2019: observational constraints on anthropogenic emission controls
Historical and future changes in air pollutants from CMIP6 models
Aerosols from anthropogenic and biogenic sources and their interactions: modeling aerosol formation, optical properties and impacts over the central Amazon Basin
Evaluating trends and seasonality in modeled PM2.5 concentrations using empirical mode decomposition
Long-term observational constraints of organic aerosol dependence on inorganic species in the southeast US
Model bias in simulating major chemical components of PM2.5 in China
Aerosol pH and chemical regimes of sulfate formation in aerosol water during winter haze in the North China Plain
Pollutant emission reductions deliver decreased PM2.5-caused mortality across China during 2015–2017
Effects of global ship emissions on European air pollution levels
Treatment of non-ideality in the SPACCIM multiphase model – Part 2: Impacts on the multiphase chemical processing in deliquesced aerosol particles
Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations
Comprehensive analyses of source sensitivities and apportionments of PM2.5 and ozone over Japan via multiple numerical techniques
Numerical analysis of agricultural emissions impacts on PM2.5 in China using a high-resolution ammonia emission inventory
Climate and air quality impacts due to mitigation of non-methane near-term climate forcers
Shipping emissions in the Iberian Peninsula and the impacts on air quality
Modelling of the public health costs of fine particulate matter and results for Finland in 2015
Development and application of the WRFDA-Chem three-dimensional variational (3DVAR) system: aiming to improve air quality forecasting and diagnose model deficiencies
Assessment of natural and anthropogenic aerosol air pollution in the Middle East using MERRA-2, CAMS data assimilation products, and high-resolution WRF-Chem model simulations
Trends and spatial shifts in lightning fires and smoke concentrations in response to 21st century climate over the national forests and parks of the western United States
Predicting secondary organic aerosol phase state and viscosity and its effect on multiphase chemistry in a regional-scale air quality model
The impact of ship emissions on air quality and human health in the Gothenburg area – Part 1: 2012 emissions
Why do models perform differently on particulate matter over East Asia? A multi-model intercomparison study for MICS-Asia III
Evaluating the impact of blowing-snow sea salt aerosol on springtime BrO and O3 in the Arctic
Impacts of water partitioning and polarity of organic compounds on secondary organic aerosol over eastern China
Multiphase MCM–CAPRAM modeling of the formation and processing of secondary aerosol constituents observed during the Mt. Tai summer campaign in 2014
Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data – Part 1: Formulation and sensitivity analysis
Improving air quality forecasting with the assimilation of GOCI aerosol optical depth (AOD) retrievals during the KORUS-AQ period
Exploration of oxidative chemistry and secondary organic aerosol formation in the Amazon during the wet season: explicit modeling of the Manaus urban plume with GECKO-A
Modeling organic aerosol over Europe in summer conditions with the VBS-GECKO parameterization: sensitivity to secondary organic compound properties and IVOC (intermediate-volatility organic compound) emissions
The acidity of atmospheric particles and clouds
Characterization of organic aerosol across the global remote troposphere: a comparison of ATom measurements and global chemistry models
Soccer games and record-breaking PM2.5 pollution events in Santiago, Chile
Simulation of organic aerosol formation during the CalNex study: updated mobile emissions and secondary organic aerosol parameterization for intermediate-volatility organic compounds
Aerosol pH and liquid water content determine when particulate matter is sensitive to ammonia and nitrate availability
Mingxu Liu and Hitoshi Matsui
Atmos. Chem. Phys., 21, 5965–5982, https://doi.org/10.5194/acp-21-5965-2021, https://doi.org/10.5194/acp-21-5965-2021, 2021
Short summary
Short summary
By integrating an advanced global climate model with the latest anthropogenic emission inventory, we quantify the aerosol perturbations to regional radiative budgets due to the changes in anthropogenic emissions in China from 2008–2016. We find that aerosol–radiation interactions lead to a relatively small net radiative forcing at the top of the atmosphere but contribute largely to surface brightening in China over the past few decades.
Yawei Qu, Apostolos Voulgarakis, Tijian Wang, Matthew Kasoar, Chris Wells, Cheng Yuan, Sunil Varma, and Laura Mansfield
Atmos. Chem. Phys., 21, 5705–5718, https://doi.org/10.5194/acp-21-5705-2021, https://doi.org/10.5194/acp-21-5705-2021, 2021
Short summary
Short summary
The meteorological effect of aerosols on tropospheric ozone is investigated using global atmospheric modelling. We found that aerosol-induced meteorological effects act to reduce modelled ozone concentrations over China, which brings the simulation closer to observed levels. Our work sheds light on understudied processes affecting the levels of tropospheric gaseous pollutants and provides a basis for evaluating such processes using a combination of observations and model sensitivity experiments.
Minghui Zhang, Amina Khaled, Pierre Amato, Anne-Marie Delort, and Barbara Ervens
Atmos. Chem. Phys., 21, 3699–3724, https://doi.org/10.5194/acp-21-3699-2021, https://doi.org/10.5194/acp-21-3699-2021, 2021
Short summary
Short summary
Although primary biological aerosol particles (PBAPs, bioaerosols) represent a small fraction of total atmospheric aerosol burden, they might affect climate and public health. We summarize which PBAP properties are important to affect their inclusion in clouds and interaction with light and might also affect their residence time and transport in the atmosphere. Our study highlights that not only chemical and physical but also biological processes can modify these physicochemical properties.
Duseong S. Jo, Alma Hodzic, Louisa K. Emmons, Simone Tilmes, Rebecca H. Schwantes, Michael J. Mills, Pedro Campuzano-Jost, Weiwei Hu, Rahul A. Zaveri, Richard C. Easter, Balwinder Singh, Zheng Lu, Christiane Schulz, Johannes Schneider, John E. Shilling, Armin Wisthaler, and Jose L. Jimenez
Atmos. Chem. Phys., 21, 3395–3425, https://doi.org/10.5194/acp-21-3395-2021, https://doi.org/10.5194/acp-21-3395-2021, 2021
Short summary
Short summary
Secondary organic aerosol (SOA) is a major component of submicron particulate matter, but there are a lot of uncertainties in the future prediction of SOA. We used CESM 2.1 to investigate future IEPOX SOA concentration changes. The explicit chemistry predicted substantial changes in IEPOX SOA depending on the future scenario, but the parameterization predicted weak changes due to simplified chemistry, which shows the importance of correct physicochemical dependencies in future SOA prediction.
Behrooz Roozitalab, Gregory R. Carmichael, and Sarath K. Guttikunda
Atmos. Chem. Phys., 21, 2837–2860, https://doi.org/10.5194/acp-21-2837-2021, https://doi.org/10.5194/acp-21-2837-2021, 2021
Short summary
Short summary
We used air quality modeling to study an extreme pollution episode in November 2017 in India. We found both local and regional emissions contribute to high pollution levels. The extreme pollution values were the result of agricultural fires in the northwest of India. Ozone should be considered in future air quality management strategies.
Ling Huang, Yonghui Zhu, Hehe Zhai, Shuhui Xue, Tianyi Zhu, Yun Shao, Ziyi Liu, Chris Emery, Greg Yarwood, Yangjun Wang, Joshua Fu, Kun Zhang, and Li Li
Atmos. Chem. Phys., 21, 2725–2743, https://doi.org/10.5194/acp-21-2725-2021, https://doi.org/10.5194/acp-21-2725-2021, 2021
Short summary
Short summary
Numerical air quality models (AQMs) are being applied extensively to address diverse scientific and regulatory compliance associated with deteriorating air quality in China. For any AQM applications, model performance evaluation is a critical step that guarantees the robustness and reliability of the baseline modeling results and subsequent applications. We provided benchmarks for model performance evaluation of AQM applications in China to demonstrate model robustness.
Adriana Bossolasco, Fabrice Jegou, Pasquale Sellitto, Gwenaël Berthet, Corinna Kloss, and Bernard Legras
Atmos. Chem. Phys., 21, 2745–2764, https://doi.org/10.5194/acp-21-2745-2021, https://doi.org/10.5194/acp-21-2745-2021, 2021
Short summary
Short summary
Using the Community Earth System Model, we simulate the surface aerosols lifted to the Asian tropopause (the ATAL layer), its composition and trend, covering a long-term period (2000–2015). We identify a
double-peakaerosol vertical profile that we attribute to
dryand
convectivecloud-borne aerosols. We find that natural aerosol (mineral dust) is the dominant aerosol type and has no long-term trend. ATAL's anthropogenic fraction, by contrast, shows a marked positive trend.
Youhua Tang, Huisheng Bian, Zhining Tao, Luke D. Oman, Daniel Tong, Pius Lee, Patrick C. Campbell, Barry Baker, Cheng-Hsuan Lu, Li Pan, Jun Wang, Jeffery McQueen, and Ivanka Stajner
Atmos. Chem. Phys., 21, 2527–2550, https://doi.org/10.5194/acp-21-2527-2021, https://doi.org/10.5194/acp-21-2527-2021, 2021
Short summary
Short summary
Chemical lateral boundary condition (CLBC) impact is essential for regional air quality prediction during intrusion events. We present a model mapping Goddard Earth Observing System (GEOS) to Community Multi-scale Air Quality (CMAQ) CB05–AERO6 (Carbon Bond 5; version 6 of the aerosol module) species. Influence depends on distance from the inflow boundary and species and their regional characteristics. We use aerosol optical thickness to derive CLBCs, achieving reasonable prediction.
Gillian Thornhill, William Collins, Dirk Olivié, Ragnhild B. Skeie, Alex Archibald, Susanne Bauer, Ramiro Checa-Garcia, Stephanie Fiedler, Gerd Folberth, Ada Gjermundsen, Larry Horowitz, Jean-Francois Lamarque, Martine Michou, Jane Mulcahy, Pierre Nabat, Vaishali Naik, Fiona M. O'Connor, Fabien Paulot, Michael Schulz, Catherine E. Scott, Roland Séférian, Chris Smith, Toshihiko Takemura, Simone Tilmes, Kostas Tsigaridis, and James Weber
Atmos. Chem. Phys., 21, 1105–1126, https://doi.org/10.5194/acp-21-1105-2021, https://doi.org/10.5194/acp-21-1105-2021, 2021
Short summary
Short summary
We find that increased temperatures affect aerosols and reactive gases by changing natural emissions and their rates of removal from the atmosphere. Changing the composition of these species in the atmosphere affects the radiative budget of the climate system and therefore amplifies or dampens the climate response of climate models of the Earth system. This study found that the largest effect is a dampening of climate change as warmer temperatures increase the emissions of cooling aerosols.
Stylianos Kakavas, David Patoulias, Maria Zakoura, Athanasios Nenes, and Spyros N. Pandis
Atmos. Chem. Phys., 21, 799–811, https://doi.org/10.5194/acp-21-799-2021, https://doi.org/10.5194/acp-21-799-2021, 2021
Short summary
Short summary
The dependence of aerosol acidity on particle size, location, and altitude over Europe during a summertime period is investigated. Differences of up to 1–4 pH units are predicted between sub- and supermicron particles in northern and southern Europe. Particles of all sizes become increasingly acidic with altitude (0.5–2.5 pH units decrease over 2.5 km). The size-dependent pH differences carry important implications for pH-sensitive processes in the aerosol.
Igor B. Konovalov, Nikolai A. Golovushkin, Matthias Beekmann, and Meinrat O. Andreae
Atmos. Chem. Phys., 21, 357–392, https://doi.org/10.5194/acp-21-357-2021, https://doi.org/10.5194/acp-21-357-2021, 2021
Short summary
Short summary
A lack of consistent observational constraints on the atmospheric evolution of the optical properties of biomass burning (BB) aerosol limits the accuracy of assessments of the aerosol radiative and climate effects. We show that useful insights into the evolution of the BB aerosol optical properties can be inferred from a combination of satellite observations and 3D modeling. We report major changes that occurred in the optical properties of Siberian BB aerosol during its long-range transport.
Shaojie Song, Tao Ma, Yuzhong Zhang, Lu Shen, Pengfei Liu, Ke Li, Shixian Zhai, Haotian Zheng, Meng Gao, Jonathan M. Moch, Fengkui Duan, Kebin He, and Michael B. McElroy
Atmos. Chem. Phys., 21, 457–481, https://doi.org/10.5194/acp-21-457-2021, https://doi.org/10.5194/acp-21-457-2021, 2021
Short summary
Short summary
We simulate the atmospheric chemical processes of an important sulfur-containing organic aerosol species, which is produced by the reaction between sulfur dioxide and formaldehyde. We can predict its distribution on a global scale. We find it is particularly rich in East Asia. This aerosol species is more abundant in the colder season partly because of weaker sunlight.
Jinlong Ma, Juanyong Shen, Peng Wang, Shengqiang Zhu, Yu Wang, Pengfei Wang, Gehui Wang, Jianmin Chen, and Hongliang Zhang
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-953, https://doi.org/10.5194/acp-2020-953, 2021
Revised manuscript accepted for ACP
Short summary
Short summary
Due to the reduced anthropogenic emissions during COVID-19 lockdown mainly from transportation and industrial sectors, PM2.5 decreased significantly in the whole Yangtze River Delta (YRD) and its major cities. However, the contributions and relative importance of different source sectors and regions changed differently, indicating that control strategies should be adjusted accordingly for further pollution control.
Thomas Drugé, Pierre Nabat, Marc Mallet, and Samuel Somot
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-1069, https://doi.org/10.5194/acp-2020-1069, 2020
Revised manuscript accepted for ACP
Yaman Liu, Xinyi Dong, Minghuai Wang, Louisa K. Emmons, Yawen Liu, Yuan Liang, Xiao Li, and Manish Shrivastava
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-1182, https://doi.org/10.5194/acp-2020-1182, 2020
Revised manuscript accepted for ACP
Short summary
Short summary
Secondary organic aerosol (SOA) is considered as one of the most important uncertainties in climate modeling. We evaluate SOA performance in the Community Earth System Model version 2.1 (CESM2.1) configured with the Community Atmosphere Model version 6 with chemistry (CAM6-Chem) through a long-term simulation (1988–2019) with observations in the United States, which indicates monoterpene formed SOA contributes most to the overestimation of SOA in the surface and underestimation in the upper air.
Jingsha Xu, Di Liu, Xuefang Wu, Tuan V. Vu, Yanli Zhang, Pingqing Fu, Yele Sun, Weiqi Xu, Bo Zheng, Roy M. Harrison, and Zongbo Shi
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-1020, https://doi.org/10.5194/acp-2020-1020, 2020
Revised manuscript accepted for ACP
Short summary
Short summary
This work presents the source apportionment of fine aerosols in an urban site of Beijing by using a CMB model. Seven primary sources (industrial/residential coal burning, biomass burning, gasoline/diesel vehicles, cooking and vegetative detritus) explained an average of 75.7 % and 56.1 % of fine OC in winter and summer, respectively. CMB was found to resolve more primary OA sources than AMS-PMF but the latter apportioned more secondary OA sources.
Liqiang Wang, Shaocai Yu, Pengfei Li, Xue Chen, Zhen Li, Yibo Zhang, Mengying Li, Khalid Mehmood, Weiping Liu, Tianfeng Chai, Yannian Zhu, Daniel Rosenfeld, and John H. Seinfeld
Atmos. Chem. Phys., 20, 14787–14800, https://doi.org/10.5194/acp-20-14787-2020, https://doi.org/10.5194/acp-20-14787-2020, 2020
Short summary
Short summary
The Chinese government has made major strides in curbing anthropogenic emissions. In this study, we constrain a state-of-the-art CTM by a reliable data assimilation method with extensive chemical and meteorological observations. This comprehensive technical design provides a crucial advance in isolating the influences of emission changes and meteorological perturbations over the Yangtze River Delta (YRD) from 2016 to 2019, thus establishing the first map of the PM2.5 mitigation across the YRD.
Steven T. Turnock, Robert J. Allen, Martin Andrews, Susanne E. Bauer, Makoto Deushi, Louisa Emmons, Peter Good, Larry Horowitz, Jasmin G. John, Martine Michou, Pierre Nabat, Vaishali Naik, David Neubauer, Fiona M. O'Connor, Dirk Olivié, Naga Oshima, Michael Schulz, Alistair Sellar, Sungbo Shim, Toshihiko Takemura, Simone Tilmes, Kostas Tsigaridis, Tongwen Wu, and Jie Zhang
Atmos. Chem. Phys., 20, 14547–14579, https://doi.org/10.5194/acp-20-14547-2020, https://doi.org/10.5194/acp-20-14547-2020, 2020
Short summary
Short summary
A first assessment is made of the historical and future changes in air pollutants from models participating in the 6th Coupled Model Intercomparison Project (CMIP6). Substantial benefits to future air quality can be achieved in future scenarios that implement measures to mitigate climate and involve reductions in air pollutant emissions, particularly methane. However, important differences are shown between models in the future regional projection of air pollutants under the same scenario.
Janaína P. Nascimento, Megan M. Bela, Bruno Meller, Alessandro L. Banducci, Luciana V. Rizzo, Angel Liduvino Vara-Vela, Henrique M. J. Barbosa, Helber Gomes, Sameh A. A. Rafee, Marco A. Franco, Samara Carbone, Glauber G. Cirino, Rodrigo A. F. Souza, Stuart A. McKeen, and Paulo Artaxo
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-1002, https://doi.org/10.5194/acp-2020-1002, 2020
Revised manuscript accepted for ACP
Huiying Luo, Marina Astitha, Christian Hogrefe, Rohit Mathur, and S. Trivikrama Rao
Atmos. Chem. Phys., 20, 13801–13815, https://doi.org/10.5194/acp-20-13801-2020, https://doi.org/10.5194/acp-20-13801-2020, 2020
Short summary
Short summary
A new method is introduced to evaluate nonlinear, nonstationary modeled PM2.5 time series by decomposing decadal PM2.5 concentrations and its species onto various timescales. It does not require preselection of temporal scales and assumptions of linearity and stationarity. It provides a unique opportunity to assess the influence of each species on total PM2.5. The results reveal a phase shift in modeled EC/OC concentrations, indicating the need for improved model treatment of organic aerosols.
Yiqi Zheng, Joel A. Thornton, Nga Lee Ng, Hansen Cao, Daven K. Henze, Erin E. McDuffie, Weiwei Hu, Jose L. Jimenez, Eloise A. Marais, Eric Edgerton, and Jingqiu Mao
Atmos. Chem. Phys., 20, 13091–13107, https://doi.org/10.5194/acp-20-13091-2020, https://doi.org/10.5194/acp-20-13091-2020, 2020
Short summary
Short summary
This study aims to address a challenge in biosphere–atmosphere interactions: to what extent can biogenic organic aerosol (OA) be modified through human activities? From three surface network observations, we show OA is weakly dependent on sulfate and aerosol acidity in the summer southeast US, on both long-term trends and monthly variability. The results are in strong contrast to a global model, GEOS-Chem, suggesting the need to revisit the representation of aqueous-phase secondary OA formation.
Ruqian Miao, Qi Chen, Yan Zheng, Xi Cheng, Yele Sun, Paul I. Palmer, Manish Shrivastava, Jianping Guo, Qiang Zhang, Yuhan Liu, Zhaofeng Tan, Xuefei Ma, Shiyi Chen, Limin Zeng, Keding Lu, and Yuanhang Zhang
Atmos. Chem. Phys., 20, 12265–12284, https://doi.org/10.5194/acp-20-12265-2020, https://doi.org/10.5194/acp-20-12265-2020, 2020
Short summary
Short summary
In this study we evaluated the model performances for simulating secondary inorganic aerosol (SIA) and organic aerosol (OA) in PM2.5 in China against comprehensive datasets. The potential biases from factors related to meteorology, emission, chemistry, and atmospheric removal are systematically investigated. This study provides a comprehensive understanding of modeling PM2.5, which is important for studies on the effectiveness of emission control strategies.
Wei Tao, Hang Su, Guangjie Zheng, Jiandong Wang, Chao Wei, Lixia Liu, Nan Ma, Meng Li, Qiang Zhang, Ulrich Pöschl, and Yafang Cheng
Atmos. Chem. Phys., 20, 11729–11746, https://doi.org/10.5194/acp-20-11729-2020, https://doi.org/10.5194/acp-20-11729-2020, 2020
Short summary
Short summary
We simulated the thermodynamic and multiphase reactions in aerosol water during a wintertime haze event over the North China Plain. It was found that aerosol pH exhibited a strong spatiotemporal variability, and multiple oxidation pathways were predominant for particulate sulfate formation in different locations. Sensitivity tests further showed that ammonia, crustal particles, and dissolved transition metal ions were important factors for multiphase chemistry during haze episodes.
Ben Silver, Luke Conibear, Carly L. Reddington, Christoph Knote, Steve R. Arnold, and Dominick V. Spracklen
Atmos. Chem. Phys., 20, 11683–11695, https://doi.org/10.5194/acp-20-11683-2020, https://doi.org/10.5194/acp-20-11683-2020, 2020
Short summary
Short summary
China suffers from serious air pollution, which is thought to cause millions of early deaths each year. Measurements on the ground show that overall air quality is improving. Air quality is also affected by weather conditions, which can vary from year to year. We conduct computer simulations to show it is the reduction of the amount of pollution emitted, rather than weather conditions, which caused air quality to improve during 2015–2017. We then estimate that 150 000 fewer people die early.
Jan Eiof Jonson, Michael Gauss, Michael Schulz, Jukka-Pekka Jalkanen, and Hilde Fagerli
Atmos. Chem. Phys., 20, 11399–11422, https://doi.org/10.5194/acp-20-11399-2020, https://doi.org/10.5194/acp-20-11399-2020, 2020
Short summary
Short summary
We have calculated the effects of air pollution in Europe from shipping on levels of PM2.5 and ozone and depositions of oxidised nitrogen and sulfur from individual sea areas and from all global shipping. Model results are shown for Europe as a whole but also focusing on select, mainly coastal, countries. Calculations are made using 2017 emissions supplemented by calculations reducing sulfur emissions from ships by about 80 % following the implementation of the 2020 global sulfur cap.
Ahmad Jhony Rusumdar, Andreas Tilgner, Ralf Wolke, and Hartmut Herrmann
Atmos. Chem. Phys., 20, 10351–10377, https://doi.org/10.5194/acp-20-10351-2020, https://doi.org/10.5194/acp-20-10351-2020, 2020
Short summary
Short summary
In the present study, simulations with the SPACCIM-SpactMod multiphase chemistry model are performed. The investigations aim at assessing the impact of a detailed treatment of non-ideality in multiphase models dealing with aqueous aerosol chemistry. The model studies demonstrate that the inclusion of non-ideality considerably affects the multiphase chemical processing of transition metal ions, oxidants, and related chemical subsystems such as organic chemistry in aqueous aerosols.
Hyun Cheol Kim, Tianfeng Chai, Ariel Stein, and Shobha Kondragunta
Atmos. Chem. Phys., 20, 10259–10277, https://doi.org/10.5194/acp-20-10259-2020, https://doi.org/10.5194/acp-20-10259-2020, 2020
Short summary
Short summary
Smoke forecasts have been challenged by high uncertainty in fire emission estimates. We develop an inverse modeling system, the HYSPLIT-based Emissions Inverse Modeling System for wildfires, that estimates wildfire emissions from the transport and dispersion of smoke plumes as measured by satellite observations. Using NOAA HYSPLIT and GOES Aerosol/Smoke Product (GASP), the system resolves smoke source strength as a function of time and vertical level and outperforms current operational system.
Satoru Chatani, Hikari Shimadera, Syuichi Itahashi, and Kazuyo Yamaji
Atmos. Chem. Phys., 20, 10311–10329, https://doi.org/10.5194/acp-20-10311-2020, https://doi.org/10.5194/acp-20-10311-2020, 2020
Short summary
Short summary
Source sensitivities and apportionments of PM2.5 and ozone concentrations over Japan for 2016 were evaluated using multiple numerical techniques including BFM, HDDM, and ISAM, embedded in regional chemical transport models. Influences of stringent emission controls recently implemented in Asian countries were reflected. Differences between sensitivities and apportionments greatly helped distinguish various direct and indirect effects of emission sources on PM2.5 and ozone concentrations.
Xiao Han, Lingyun Zhu, Mingxu Liu, Yu Song, and Meigen Zhang
Atmos. Chem. Phys., 20, 9979–9996, https://doi.org/10.5194/acp-20-9979-2020, https://doi.org/10.5194/acp-20-9979-2020, 2020
Short summary
Short summary
China is one of the largest agricultural countries in the world. Some of the major PM2.5 particles that cause the atmospheric haze and impact the climate change were converted from agricultural NH3 emission. This paper applied the numerical modeling system, coupled with a high-resolution agricultural NH3 emissions inventory, to investigate the contribution of agricultural NH3 to PM2.5 mass burden in China and obtained some interesting results.
Robert J. Allen, Steven Turnock, Pierre Nabat, David Neubauer, Ulrike Lohmann, Dirk Olivié, Naga Oshima, Martine Michou, Tongwen Wu, Jie Zhang, Toshihiko Takemura, Michael Schulz, Kostas Tsigaridis, Susanne E. Bauer, Louisa Emmons, Larry Horowitz, Vaishali Naik, Twan van Noije, Tommi Bergman, Jean-Francois Lamarque, Prodromos Zanis, Ina Tegen, Daniel M. Westervelt, Philippe Le Sager, Peter Good, Sungbo Shim, Fiona O'Connor, Dimitris Akritidis, Aristeidis K. Georgoulias, Makoto Deushi, Lori T. Sentman, Jasmin G. John, Shinichiro Fujimori, and William J. Collins
Atmos. Chem. Phys., 20, 9641–9663, https://doi.org/10.5194/acp-20-9641-2020, https://doi.org/10.5194/acp-20-9641-2020, 2020
Rafael A. O. Nunes, Maria C. M. Alvim-Ferraz, Fernando G. Martins, Fátima Calderay-Cayetano, Vanessa Durán-Grados, Juan Moreno-Gutiérrez, Jukka-Pekka Jalkanen, Hanna Hannuniemi, and Sofia I. V. Sousa
Atmos. Chem. Phys., 20, 9473–9489, https://doi.org/10.5194/acp-20-9473-2020, https://doi.org/10.5194/acp-20-9473-2020, 2020
Short summary
Short summary
The central position of the Iberian Peninsula with ship traffic between the Americas, Africa, and Europe, combined with the known adverse effects of this sector on air quality, emphasises the relevance of a more detailed study of these impacts in this region. Results showed increased levels of SO2 and NO2 near port areas, as well as of O3, sulfate, PM2.5, and PM10 over the Iberian Peninsula coastline due to shipping emissions. To study mitigation measures, application is crucial.
Jaakko Kukkonen, Mikko Savolahti, Yuliia Palamarchuk, Timo Lanki, Väinö Nurmi, Ville-Veikko Paunu, Leena Kangas, Mikhail Sofiev, Ari Karppinen, Androniki Maragkidou, Pekka Tiittanen, and Niko Karvosenoja
Atmos. Chem. Phys., 20, 9371–9391, https://doi.org/10.5194/acp-20-9371-2020, https://doi.org/10.5194/acp-20-9371-2020, 2020
Short summary
Short summary
We have developed a mathematical model that can be used to analyse the benefits that could be achieved by implementing alternative air quality abatement measures, policies or strategies. The model was applied to determine pollution sources in the whole of Finland in 2015. Clearly the most economically effective measures were the reduction in emissions from low-level sources in urban areas. Such sources include road transport, non-road vehicles and machinery, and residential wood combustion.
Wei Sun, Zhiquan Liu, Dan Chen, Pusheng Zhao, and Min Chen
Atmos. Chem. Phys., 20, 9311–9329, https://doi.org/10.5194/acp-20-9311-2020, https://doi.org/10.5194/acp-20-9311-2020, 2020
Short summary
Short summary
A new aerosol and gas pollutant assimilation capability is developed within the WRFDA system with the 3D variational algorithm and MOSAIC (Model for Simulating Aerosol Interactions and Chemistry) aerosol scheme. By assimilating surface PM2.5, PM10, SO2, NO2, O3, and CO, it improves 24 h air quality forecasting. Based on this system, model deficiencies are explored. Parameterization in the newly added inorganic aerosol heterogeneous reactions should be adjusted and verified by data assimilation.
Alexander Ukhov, Suleiman Mostamandi, Arlindo da Silva, Johannes Flemming, Yasser Alshehri, Illia Shevchenko, and Georgiy Stenchikov
Atmos. Chem. Phys., 20, 9281–9310, https://doi.org/10.5194/acp-20-9281-2020, https://doi.org/10.5194/acp-20-9281-2020, 2020
Short summary
Short summary
The data assimilation products MERRA2 and CAMS are tested over the Middle East (ME) against in situ and satellite observations. For the first time, we compared the new MODIS aerosol optical depth (AOD) retrieval, MAIAC, with the Deep Blue and Dark Target MODIS AOD. We conducted 2-year high-resolution WRF-Chem simulations with the most accurate OMI-HTAP SO2 emissions to estimate the contribution of natural and anthropogenic aerosols to the PM pollution in the ME.
Yang Li, Loretta J. Mickley, Pengfei Liu, and Jed O. Kaplan
Atmos. Chem. Phys., 20, 8827–8838, https://doi.org/10.5194/acp-20-8827-2020, https://doi.org/10.5194/acp-20-8827-2020, 2020
Short summary
Short summary
Using a coupled vegetation–fire–climate modeling framework, we show a northward shift in forests and increased lightning fire activity in northern US states, including Idaho, Montana, and Wyoming. Our findings suggest a large climate penalty on ecosystem, air quality, visibility, and human health in a region valued for its national forests and parks. The fine-scale smoke PM predictions provided in this study should prove useful to human health and environmental assessments.
Ryan Schmedding, Quazi Z. Rasool, Yue Zhang, Havala O. T. Pye, Haofei Zhang, Yuzhi Chen, Jason D. Surratt, Felipe D. Lopez-Hilfiker, Joel A. Thornton, Allen H. Goldstein, and William Vizuete
Atmos. Chem. Phys., 20, 8201–8225, https://doi.org/10.5194/acp-20-8201-2020, https://doi.org/10.5194/acp-20-8201-2020, 2020
Short summary
Short summary
Accurate model prediction of aerosol concentrations is a known challenge. It is assumed in many modeling systems that aerosols are in a homogeneously mixed phase state. It has been observed that aerosols do phase separate and can form a highly viscous organic shell with an aqueous core impacting the formation processes of aerosols. This work is a model implementation to determine an aerosol's phase state using glass transition temperature and aerosol composition.
Lin Tang, Martin O. P. Ramacher, Jana Moldanová, Volker Matthias, Matthias Karl, Lasse Johansson, Jukka-Pekka Jalkanen, Katarina Yaramenka, Armin Aulinger, and Malin Gustafsson
Atmos. Chem. Phys., 20, 7509–7530, https://doi.org/10.5194/acp-20-7509-2020, https://doi.org/10.5194/acp-20-7509-2020, 2020
Short summary
Short summary
The effects of shipping emissions on air quality and health in the harbour city of Gothenburg were simulated for 2012 with coupled regional and city-scale chemistry transport models. The results show that contributions of shipping to exposure and health impacts from particulate matter and NO2 are significant and that shipping-related exposure to PM is dominated by emissions from regional shipping outside the city domain and is larger than exposure related to emissions from local road traffic.
Jiani Tan, Joshua S. Fu, Gregory R. Carmichael, Syuichi Itahashi, Zhining Tao, Kan Huang, Xinyi Dong, Kazuyo Yamaji, Tatsuya Nagashima, Xuemei Wang, Yiming Liu, Hyo-Jung Lee, Chuan-Yao Lin, Baozhu Ge, Mizuo Kajino, Jia Zhu, Meigen Zhang, Hong Liao, and Zifa Wang
Atmos. Chem. Phys., 20, 7393–7410, https://doi.org/10.5194/acp-20-7393-2020, https://doi.org/10.5194/acp-20-7393-2020, 2020
Short summary
Short summary
This study evaluated the performance of 12 chemical transport models from MICS-Asia III for predicting the particulate matter (PM) over East Asia. Four model processes were investigated as the possible reasons for model bias with measurements and the factors causing inconsistent predictions of PM from different models: (1) model inputs, (2) gas–particle conversion, (3) dust emission modules and (4) removal mechanisms (wet and dry depositions). The influence of each process was discussed.
Jiayue Huang, Lyatt Jaeglé, Qianjie Chen, Becky Alexander, Tomás Sherwen, Mat J. Evans, Nicolas Theys, and Sungyeon Choi
Atmos. Chem. Phys., 20, 7335–7358, https://doi.org/10.5194/acp-20-7335-2020, https://doi.org/10.5194/acp-20-7335-2020, 2020
Short summary
Short summary
Large-scale enhancements of tropospheric BrO and the depletion of surface ozone are often observed in the springtime Arctic. Here, we use a chemical transport model to examine the role of sea salt aerosol from blowing snow in explaining these phenomena. We find that our simulation can account for the spatiotemporal variability of satellite observations of BrO. However, the model has difficulty in producing the magnitude of observed ozone depletion events.
Jingyi Li, Haowen Zhang, Qi Ying, Zhijun Wu, Yanli Zhang, Xinming Wang, Xinghua Li, Yele Sun, Min Hu, Yuanhang Zhang, and Jianlin Hu
Atmos. Chem. Phys., 20, 7291–7306, https://doi.org/10.5194/acp-20-7291-2020, https://doi.org/10.5194/acp-20-7291-2020, 2020
Short summary
Short summary
Large gaps still exist in modeled and observed secondary organic aerosol (SOA) mass loading and properties. Here we investigated the impacts of water partitioning into organic aerosol and nonideality of the organic–water mixture on SOA over eastern China using a regional 3D model. SOA is increased more significantly in humid and hot environments. Increases in SOA further cause an enhancement of the cooling effects of aerosols. It is crucial to consider the above processes in modeling SOA.
Yanhong Zhu, Andreas Tilgner, Erik Hans Hoffmann, Hartmut Herrmann, Kimitaka Kawamura, Lingxiao Yang, Likun Xue, and Wenxing Wang
Atmos. Chem. Phys., 20, 6725–6747, https://doi.org/10.5194/acp-20-6725-2020, https://doi.org/10.5194/acp-20-6725-2020, 2020
Short summary
Short summary
The formation and processing of secondary inorganic and organic compounds at Mt. Tai, the highest mountain on the North China Plain, are modeled using a multiphase chemical model. The concentrations of key radical and non-radical oxidations in the formation processes are investigated. Sensitivity tests assess the impacts of emission data and glyoxal partitioning constants on modeled results. The key precursors of secondary organic compounds are also identified.
Yi Wang, Jun Wang, Xiaoguang Xu, Daven K. Henze, Zhen Qu, and Kai Yang
Atmos. Chem. Phys., 20, 6631–6650, https://doi.org/10.5194/acp-20-6631-2020, https://doi.org/10.5194/acp-20-6631-2020, 2020
Short summary
Short summary
The use of OMPS satellite observations to inverse-model SO2 and NO2 emissions is presented through the GEOS-Chem adjoint modeling framework. The work is illustrated over China. The robustness of the results is studied through separate and joint inversions of SO2 and NO2 and the consideration of NH3 uncertainty. Independent validation is performed with OMI SO2 and NO2 data. It is shown that simultaneous inversion of NO2 and SO2 from OMPS provides an effective way to rapidly update emissions.
Soyoung Ha, Zhiquan Liu, Wei Sun, Yonghee Lee, and Limseok Chang
Atmos. Chem. Phys., 20, 6015–6036, https://doi.org/10.5194/acp-20-6015-2020, https://doi.org/10.5194/acp-20-6015-2020, 2020
Short summary
Short summary
This study examines the effect of aerosol optical depth (AOD) retrieved from the Korean Geostationary Ocean Color Imager (GOCI) sensors on surface PM2.5 forecasts using the online coupled WRF-Chem forecasting model and the GSI 3D-Var analysis system. During the KORUS-AQ campaign period, the assimilation of GOCI AOD retrieved at the 550 nm wavelength greatly improved air quality forecasting up to 24 h when assimilated with surface PM2.5 observations, particularly for heavy pollution events.
Camille Mouchel-Vallon, Julia Lee-Taylor, Alma Hodzic, Paulo Artaxo, Bernard Aumont, Marie Camredon, David Gurarie, Jose-Luis Jimenez, Donald H. Lenschow, Scot T. Martin, Janaina Nascimento, John J. Orlando, Brett B. Palm, John E. Shilling, Manish Shrivastava, and Sasha Madronich
Atmos. Chem. Phys., 20, 5995–6014, https://doi.org/10.5194/acp-20-5995-2020, https://doi.org/10.5194/acp-20-5995-2020, 2020
Short summary
Short summary
The GoAmazon 2014/5 field campaign took place near the city of Manaus, Brazil, isolated in the Amazon rainforest, to study the impacts of urban pollution on natural air masses. We simulated this campaign with an extremely detailed organic chemistry model to understand how the city would affect the growth and composition of natural aerosol particles. Discrepancies between the model and the measurements indicate that the chemistry of naturally emitted organic compounds is still poorly understood.
Victor Lannuque, Florian Couvidat, Marie Camredon, Bernard Aumont, and Bertrand Bessagnet
Atmos. Chem. Phys., 20, 4905–4931, https://doi.org/10.5194/acp-20-4905-2020, https://doi.org/10.5194/acp-20-4905-2020, 2020
Short summary
Short summary
Large uncertainties remain in modeling secondary organic aerosol (SOA) and evolution and properties in air quality models. In this article, the recently developed VBS-GECKO parameterization for SOA formation has been implemented in the air quality model CHIMERE. Simulations have been driven to identify the main SOA sources and to evaluate the sensitivity of simulated SOA concentrations to (i) secondary organic compound properties and (ii) emissions from traffic and transportation sources.
Havala O. T. Pye, Athanasios Nenes, Becky Alexander, Andrew P. Ault, Mary C. Barth, Simon L. Clegg, Jeffrey L. Collett Jr., Kathleen M. Fahey, Christopher J. Hennigan, Hartmut Herrmann, Maria Kanakidou, James T. Kelly, I-Ting Ku, V. Faye McNeill, Nicole Riemer, Thomas Schaefer, Guoliang Shi, Andreas Tilgner, John T. Walker, Tao Wang, Rodney Weber, Jia Xing, Rahul A. Zaveri, and Andreas Zuend
Atmos. Chem. Phys., 20, 4809–4888, https://doi.org/10.5194/acp-20-4809-2020, https://doi.org/10.5194/acp-20-4809-2020, 2020
Short summary
Short summary
Acid rain is recognized for its impacts on human health and ecosystems, and programs to mitigate these effects have had implications for atmospheric acidity. Historical measurements indicate that cloud and fog droplet acidity has changed in recent decades in response to controls on emissions from human activity, while the limited trend data for suspended particles indicate acidity may be relatively constant. This review synthesizes knowledge on the acidity of atmospheric particles and clouds.
Alma Hodzic, Pedro Campuzano-Jost, Huisheng Bian, Mian Chin, Peter R. Colarco, Douglas A. Day, Karl D. Froyd, Bernd Heinold, Duseong S. Jo, Joseph M. Katich, John K. Kodros, Benjamin A. Nault, Jeffrey R. Pierce, Eric Ray, Jacob Schacht, Gregory P. Schill, Jason C. Schroder, Joshua P. Schwarz, Donna T. Sueper, Ina Tegen, Simone Tilmes, Kostas Tsigaridis, Pengfei Yu, and Jose L. Jimenez
Atmos. Chem. Phys., 20, 4607–4635, https://doi.org/10.5194/acp-20-4607-2020, https://doi.org/10.5194/acp-20-4607-2020, 2020
Short summary
Short summary
Organic aerosol (OA) is a key source of uncertainty in aerosol climate effects. We present the first pole-to-pole OA characterization during the NASA Atmospheric Tomography aircraft mission. OA has a strong seasonal and zonal variability, with the highest levels in summer and over fire-influenced regions and the lowest ones in the southern high latitudes. We show that global models predict the OA distribution well but not the relative contribution of OA emissions vs. chemical production.
Rémy Lapere, Laurent Menut, Sylvain Mailler, and Nicolás Huneeus
Atmos. Chem. Phys., 20, 4681–4694, https://doi.org/10.5194/acp-20-4681-2020, https://doi.org/10.5194/acp-20-4681-2020, 2020
Short summary
Short summary
Based on measurements and modeling, this study shows that recent record-breaking peak events of fine particles in Santiago, Chile, can be traced back to massive barbecue cooking by its inhabitants during international soccer games. Decontamination plans in Santiago focus on decreasing emissions of pollutants from traffic, industry, and residential heating. This study implies that cultural habits such as barbecue cooking also need to be taken into account.
Quanyang Lu, Benjamin N. Murphy, Momei Qin, Peter J. Adams, Yunliang Zhao, Havala O. T. Pye, Christos Efstathiou, Chris Allen, and Allen L. Robinson
Atmos. Chem. Phys., 20, 4313–4332, https://doi.org/10.5194/acp-20-4313-2020, https://doi.org/10.5194/acp-20-4313-2020, 2020
Short summary
Short summary
This research work investigates organic aerosol formation in California during the CalNex study. We update the chemical transport model with the most recent mobile-source emission data and introduce a simple parameterization for secondary organic aerosol formed from intermediate-volatility organic compounds. Our results highlight the important contribution of IVOCs to SOA production in the Los Angeles region but underscore that other uncertainties must be addressed to close the SOA mass balance.
Athanasios Nenes, Spyros N. Pandis, Rodney J. Weber, and Armistead Russell
Atmos. Chem. Phys., 20, 3249–3258, https://doi.org/10.5194/acp-20-3249-2020, https://doi.org/10.5194/acp-20-3249-2020, 2020
Short summary
Short summary
We show that aerosol acidity (pH) and liquid water content naturally emerge as previously ignored parameters that drive particulate matter formation in the atmosphere, and its sensitivity to emissions of ammonia and nitric acid. The simple framework presented is easily applied to ambient measurements or model output, and it provides the
chemical regimeof PM sensitivity to ammonia and nitric acid availability.
Cited articles
Annor, T., Lamptey, B., Wagner, S., Oguntunde, P., Arnault, J., Heinzeller,
D., and Kunstmann, H.: High-resolution long-term WRF climate simulations over
Volta Basin. Part 1: validation analysis for temperature and precipitation,
Theor. Appl. Climatol., 133, 829–849, https://doi.org/10.1007/s00704-017-2223-5, 2017.
Baker, K., Johnson, M., and King, S.: Meteorological modeling performance
summary for application to PM2.5/haze/ozone modeling projects, Lake
Michigan Air Directors Consortium, Midwest Regional Planning Organization,
Des Plaines, Illinois, USA, 57 pp., 2004.
Bond, T. C., Streets, D. G., Yarber, K. F., Nelson, S. M., Woo, J. H., and
Klimont, Z.: A technology-based global inventory of black and organic carbon
emissions from combustion, J. Geophys. Res.-Atmos., 109, D14203,
https://doi.org/10.1029/2003jd003697, 2004.
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T.,
DeAngelo, B. J., Flanner, M. G., Ghan, S., Kaercher, B., Koch, D., Kinne, S.,
Kondo, Y., Quinn, P. K., Sarofim, M. C., Schultz, M. G., Schulz, M.,
Venkataraman, C., Zhang, H., Zhang, S., Bellouin, N., Guttikunda, S. K.,
Hopke, P. K., Jacobson, M. Z., Kaiser, J. W., Klimont, Z., Lohmann, U.,
Schwarz, J. P., Shindell, D., Storelvmo, T., Warren, S. G., and Zender, C.
S.: Bounding the role of black carbon in the climate system: A scientific
assessment, J. Geophys. Res.-Atmos., 118, 5380–5552, https://doi.org/10.1002/jgrd.50171,
2013.
Cao, G., Zhang, X., and Zheng, F.: Inventory of black carbon and organic
carbon emissions from China, Atmos. Environ., 40, 6516–6527,
https://doi.org/10.1016/j.atmosenv.2006.05.070, 2006.
Chen, D., Cui, H., Zhao, Y., Yin, L., Lu, Y., and Wang, Q.: A two-year study
of carbonaceous aerosols in ambient PM2.5 at a regional background site for
western Yangtze River Delta, China, Atmos. Res., 183, 351–361,
https://doi.org/10.1016/j.atmosres.2016.09.004, 2017.
Cohen, J. B. and Wang, C.: Estimating global black carbon emissions using a
top-down Kalman Filter approach, J. Geophys. Res.-Atmos., 119, 307–323,
https://doi.org/10.1002/2013jd019912, 2014.
Dachs, J. and Eisenreich, S. J.: Adsorption onto aerosol soot carbon
dominates gas-particle partitioning of polycyclic aromatic hydrocarbons,
Eniron. Sci. Technol., 34, 3690–3697, https://doi.org/10.1021/es991201+, 2000.
EEA (European Environment Agency): COPERT 4-Computer Programme to Calculate
Emissions from Road Transport, User Manual (Version 9.0), Copenhagen,
Denmark, 2012.
Emery, C., Tai, E., and Yarwood, G.: Enhanced meteorological modeling and
performance evaluation for two Texas ozone episodes, Final Report, ENVIRON,
Texas Natural Resource Conservation Commission, 2001.
Fu, T.-M., Cao, J. J., Zhang, X. Y., Lee, S. C., Zhang, Q., Han, Y. M., Qu,
W. J., Han, Z., Zhang, R., Wang, Y. X., Chen, D., and Henze, D. K.:
Carbonaceous aerosols in China: top-down constraints on primary sources and
estimation of secondary contribution, Atmos. Chem. Phys., 12, 2725–2746,
https://doi.org/10.5194/acp-12-2725-2012, 2012.
García-Díez, M., Fernández, J., and Vautard, R.: An RCM
multi-physics ensemble over Europe: multi-variable evaluation to avoid error
compensation, Clim. Dynam., 45, 3141–3156, https://doi.org/10.1007/s00382-015-2529-x,
2015.
Gilardoni, S., Vignati, E., and Wilson, J.: Using measurements for evaluation
of black carbon modeling, Atmos. Chem. Phys., 11, 439–455,
https://doi.org/10.5194/acp-11-439-2011, 2011.
Guerrette, J. J. and Henze, D. K.: Four-dimensional variational inversion of
black carbon emissions during ARCTAS-CARB with WRFDA-Chem, Atmos. Chem.
Phys., 17, 7605–7633, https://doi.org/10.5194/acp-17-7605-2017, 2017.
Hong, C., Zhang, Q., He, K., Guan, D., Li, M., Liu, F., and Zheng, B.:
Variations of China's emission estimates: response to uncertainties in energy
statistics, Atmos. Chem. Phys., 17, 1227–1239,
https://doi.org/10.5194/acp-17-1227-2017, 2017.
Hu, Z., Zhao, C., Huang, J., Leung, L. R., Qian, Y., Yu, H., Huang, L., and
Kalashnikova, O. V.: Trans-Pacific transport and evolution of aerosols:
evaluation of quasi-global WRF-Chem simulation with multiple observations,
Geosci. Model Dev., 9, 1725–1746, https://doi.org/10.5194/gmd-9-1725-2016,
2016.
Huang, Y., Zhao, Y., Qiu, L., Xie, F., Zhang, J., and Huang, X.: The impacts
of emission control and meteorology variation on reduced ambient PM2.5
concentrations for a typical industrial city in Yangtze River Delta, China,
in preparation, 2019.
Jacobson, M. Z.: Strong radiative heating due to the mixing state of black
carbon in atmospheric aerosols, Nature, 409, 695–697, https://doi.org/10.1038/35055518,
2001.
Kaewmesri, P.: The Performance of Microphysics Scheme in Wrf Model for
Simulating Extreme Rainfall Events, Int. J. GEOMATE, 15, 121–131,
https://doi.org/10.21660/2018.51.59256, 2018.
Koch, D., Schulz, M., Kinne, S., McNaughton, C., Spackman, J. R., Balkanski,
Y., Bauer, S., Berntsen, T., Bond, T. C., Boucher, O., Chin, M., Clarke, A.,
De Luca, N., Dentener, F., Diehl, T., Dubovik, O., Easter, R., Fahey, D. W.,
Feichter, J., Fillmore, D., Freitag, S., Ghan, S., Ginoux, P., Gong, S.,
Horowitz, L., Iversen, T., Kirkevåg, A., Klimont, Z., Kondo, Y., Krol,
M., Liu, X., Miller, R., Montanaro, V., Moteki, N., Myhre, G., Penner, J. E.,
Perlwitz, J., Pitari, G., Reddy, S., Sahu, L., Sakamoto, H., Schuster, G.,
Schwarz, J. P., Seland, Ø., Stier, P., Takegawa, N., Takemura, T., Textor,
C., van Aardenne, J. A., and Zhao, Y.: Evaluation of black carbon estimations
in global aerosol models, Atmos. Chem. Phys., 9, 9001–9026,
https://doi.org/10.5194/acp-9-9001-2009, 2009.
Kondo, Y., Oshima, N., Kajino, M., Mikami, R., Moteki, N., Takegawa, N.,
Verma, R. L., Kajii, Y., Kato, S., and Takami, A.: Emissions of black carbon
in East Asia estimated from observations at a remote site in the East China
Sea, J. Geophys. Res.-Atmos., 116, D16201, https://doi.org/10.1029/2011jd015637, 2011.
Kotlarski, S., Keuler, K., Christensen, O. B., Colette, A., Déqué,
M., Gobiet, A., Goergen, K., Jacob, D., Lüthi, D., van Meijgaard, E.,
Nikulin, G., Schär, C., Teichmann, C., Vautard, R., Warrach-Sagi, K., and
Wulfmeyer, V.: Regional climate modeling on European scales: a joint standard
evaluation of the EURO-CORDEX RCM ensemble, Geosci. Model Dev., 7,
1297–1333, https://doi.org/10.5194/gmd-7-1297-2014, 2014.
Kurokawa, J., Ohara, T., Morikawa, T., Hanayama, S., Janssens-Maenhout, G.,
Fukui, T., Kawashima, K., and Akimoto, H.: Emissions of air pollutants and
greenhouse gases over Asian regions during 2000–2008: Regional Emission
inventory in ASia (REAS) version 2, Atmos. Chem. Phys., 13, 11019–11058,
https://doi.org/10.5194/acp-13-11019-2013, 2013.
Lei, Y., Zhang, Q., He, K. B., and Streets, D. G.: Primary anthropogenic
aerosol emission trends for China, 1990–2005, Atmos. Chem. Phys., 11,
931–954, https://doi.org/10.5194/acp-11-931-2011, 2011.
Li, L., Chen, C. H., Fu, J. S., Huang, C., Streets, D. G., Huang, H. Y.,
Zhang, G. F., Wang, Y. J., Jang, C. J., Wang, H. L., Chen, Y. R., and Fu, J.
M.: Air quality and emissions in the Yangtze River Delta, China, Atmos. Chem.
Phys., 11, 1621–1639, https://doi.org/10.5194/acp-11-1621-2011, 2011.
Li, N., Fu, T.-M., Cao, J. J., Zheng, J. Y., He, Q. Y., Long, X., Zhao, Z.
Z., Cao, N. Y., Fu, J. S., and Lam, Y. F.: Observationally-constrained
carbonaceous aerosol source estimates for the Pearl River Delta area of
China, Atmos. Chem. Phys. Discuss., 15, 33583–33629,
https://doi.org/10.5194/acpd-15-33583-2015, 2015.
Li, N., He, Q., Tie, X., Cao, J., Liu, S., Wang, Q., Li, G., Huang, R., and
Zhang, Q.: Quantifying sources of elemental carbon over the Guanzhong Basin
of China: A consistent network of measurements and WRF-Chem modeling,
Environ. Pollut., 214, 86–93, https://doi.org/10.1016/j.envpol.2016.03.046, 2016.
Liu, M., Lin, J., Wang, Y., Sun, Y., Zheng, B., Shao, J., Chen, L., Zheng,
Y., Chen, J., Fu, T.-M., Yan, Y., Zhang, Q., and Wu, Z.: Spatiotemporal
variability of NO2 and PM2.5 over Eastern China: observational
and model analyses with a novel statistical method, Atmos. Chem. Phys., 18,
12933–12952, https://doi.org/10.5194/acp-18-12933-2018, 2018.
Lu, Z., Zhang, Q., and Streets, D. G.: Sulfur dioxide and primary
carbonaceous aerosol emissions in China and India, 1996–2010, Atmos. Chem.
Phys., 11, 9839–9864, https://doi.org/10.5194/acp-11-9839-2011, 2011.
Matsui, H., Koike, M., Kondo, Y., Oshima, N., Moteki, N., Kanaya, Y., Takami,
A., and Irwin, M.: Seasonal variations of Asian black carbon outflow to the
Pacific: Contribution from anthropogenic sources in China and biomass burning
sources in Siberia and Southeast Asia, J. Geophys. Res.-Atmos., 118,
9948–9967, https://doi.org/10.1002/jgrd.50702, 2013.
National Aeronautics and Space Administration (NASA): the merged high-quality
precipitation obtained by the Tropical Rainfall Measuring Mission satellite
instrument (TRMM), available at: https://trmm.gsfc.nasa.gov/ (last
access: 12 February 2019), 2015.
Ohara, T., Akimoto, H., Kurokawa, J., Horii, N., Yamaji, K., Yan, X., and
Hayasaka, T.: An Asian emission inventory of anthropogenic emission sources
for the period 1980–2020, Atmos. Chem. Phys., 7, 4419–4444,
https://doi.org/10.5194/acp-7-4419-2007, 2007.
Park, R. J.: Sources of carbonaceous aerosols over the United States and
implications for natural visibility, J. Geophys. Res., 108, 4355,
https://doi.org/10.1029/2002jd003190, 2003.
Politi, N., Nastos, P. T., Sfetsos, A., Vlachogiannis, D., and Dalezios, N.
R.: Evaluation of the AWR-WRF model configuration at high resolution over the
domain of Greece, Atmos. Res., 208, 229–245,
https://doi.org/10.1016/j.atmosres.2017.10.019, 2018.
Qian, W.: Air Pollution Control Planning for the Key Regions during the 12th
Five-Year Plan period (2010–2015), China Environmental Protection Industry,
4–18, 2013.
Qin, Y. and Xie, S. D.: Spatial and temporal variation of anthropogenic black
carbon emissions in China for the period 1980–2009, Atmos. Chem. Phys., 12,
4825–4841, https://doi.org/10.5194/acp-12-4825-2012, 2012.
Ramanathan, V. and Carmichael, G.: Global and regional climate changes due to
black carbon, Nat. Geosci., 1, 221–227, https://doi.org/10.1038/ngeo156, 2008.
Streets, D. G., Gupta, S., Waldhoff, S. T., Wang, M. Q., Bond, T. C., and Bo,
Y. Y.: Black carbon emissions in China, Atmos. Environ., 35, 4281–4296,
https://doi.org/10.1016/s1352-2310(01)00179-0, 2001.
Streets, D. G., Bond, T. C., Carmichael, G. R., Fernandes, S. D., Fu, Q., He,
D., Klimont, Z., Nelson, S. M., Tsai, N. Y., Wang, M. Q., Woo, J. H., and
Yarber, K. F.: An inventory of gaseous and primary aerosol emissions in Asia
in the year 2000, J. Geophys. Res.-Atmos., 108, 8809,
https://doi.org/10.1029/2002jd003093, 2003.
Tsinghua University: Multi-resolution Emission Inventory for China (MEIC),
available at: http://www.meicmodel.org/ (last access: 12 February
2019), 2012.
Verma, S., Reddy, D. M., Ghosh, S., Kumar, D. B., and Chowdhury, A. K.:
Estimates of spatially and temporally resolved constrained black carbon
emission over the Indian region using a strategic integrated modelling
approach, Atmos. Res., 195, 9–19, https://doi.org/10.1016/j.atmosres.2017.05.007, 2017.
Wang, Y., Wang, X., Kondo, Y., Kajino, M., Munger, J. W., and Hao, J.: Black
carbon and its correlation with trace gases at a rural site in Beijing:
Top-down constraints from ambient measurements on bottom-up emissions, J.
Geophys. Res.-Atmos., 116, D24304, https://doi.org/10.1029/2011jd016575, 2011.
Wang, X., Wang, Y., Hao, J., Kondo, Y., Irwin, M., Munger, J. W., and Zhao,
Y.: Top-down estimate of China's black carbon emissions using surface
observations: Sensitivity to observation representativeness and transport
model error, J. Geophys. Res.-Atmos., 118, 5781–5795,
https://doi.org/10.1002/jgrd.50397, 2013.
Xia, Y., Zhao, Y., and Nielsen, C. P.: Benefits of of China's efforts in
gaseous pollutant control indicated by the bottom-up emissions and satellite
observations 2000-2014, Atmos. Environ., 136, 43–53,
https://doi.org/10.1016/j.atmosenv.2016.04.013, 2016.
Xu, X., Wang, J., Henze, D. K., Qu, W., and Kopacz, M.: Constraints on
aerosol sources using GEOS-Chem adjoint and MODIS radiances, and evaluation
with multisensor (OMI, MISR) data, J. Geophys. Res.-Atmos., 118,
10139–10139, https://doi.org/10.1002/jgrd.50784, 2013.
Yang, B., Zhang, Y., Qian, Y., Huang, A., and Yan, H.: Calibration of a
convective parameterization scheme in the WRF model and its impact on the
simulation of East Asian summer monsoon precipitation, Clim. Dynam., 44,
1661–1684, https://doi.org/10.1007/s00382-014-2118-4, 2014.
Yu, E., Wang, H., Gao, Y., and Sun, J.: Impacts of cumulus convective
parameterization schemes on summer monsoon precipitation simulation over
China, Acta Meteorol. Sin., 25, 581–592, https://doi.org/10.1007/s13351-011-0504-y,
2011.
Zhang, L., Henze, D. K., Grell, G. A., Carmichael, G. R., Bousserez, N.,
Zhang, Q., Torres, O., Ahn, C., Lu, Z., Cao, J., and Mao, Y.: Constraining
black carbon aerosol over Asia using OMI aerosol absorption optical depth and
the adjoint of GEOS-Chem, Atmos. Chem. Phys., 15, 10281–10308,
https://doi.org/10.5194/acp-15-10281-2015, 2015.
Zhang, Q., Streets, D. G., Carmichael, G. R., He, K. B., Huo, H., Kannari,
A., Klimont, Z., Park, I. S., Reddy, S., Fu, J. S., Chen, D., Duan, L., Lei,
Y., Wang, L. T., and Yao, Z. L.: Asian emissions in 2006 for the NASA INTEX-B
mission, Atmos. Chem. Phys., 9, 5131–5153,
https://doi.org/10.5194/acp-9-5131-2009, 2009.
Zhang, Y., Liu, P., Pun, B., and Seigneur, C.: A comprehensive performance
evaluation of MM5-CMAQ for the Summer 1999 Southern Oxidants Study episode –
Part I: Evaluation protocols, databases, and meteorological predictions,
Atmos. Environ., 40, 4825–4838, https://doi.org/10.1016/j.atmosenv.2005.12.043, 2006.
Zhao, Y., Zhang, J., and Nielsen, C. P.: The effects of recent control
policies on trends in emissions of anthropogenic atmospheric pollutants and
CO2 in China, Atmos. Chem. Phys., 13, 487–508,
https://doi.org/10.5194/acp-13-487-2013, 2013.
Zhao, Y., Zhang, J., and Nielsen, C. P.: The effects of energy paths and
emission controls and standards on future trends in China's emissions of
primary air pollutants, Atmos. Chem. Phys., 14, 8849–8868,
https://doi.org/10.5194/acp-14-8849-2014, 2014.
Zhao, Y., Zhou, Y., Qiu, L., and Zhang, J.: Quantifying the uncertainties of
China's emission inventory for industrial sources: From national to provincial
and city scales, Atmos. Environ., 165, 207–221, https://doi.org/10.1016/j.atmosenv.2017.06.045, 2017.
Zheng, J., He, M., Shen, X., Yin, S., and Yuan, Z.: High resolution of black
carbon and organic carbon emissions in the Pearl River Delta region, China,
Sci. Total Environ., 438, 189–200, https://doi.org/10.1016/j.scitotenv.2012.08.068,
2012.
Short summary
This work captured the changes in black carbon (BC) emissions from tightened pollution controls in a city cluster in eastern China through a top-down approach that incorporated available ground observations, a chemistry transport model, and a multiple regression model. The uncertainty from the a priori emission input and wet deposition was evaluated to be moderate. More ground measurements with better spatiotemporal coverage were recommended for constraining BC emissions effectively.
This work captured the changes in black carbon (BC) emissions from tightened pollution controls...
Altmetrics
Final-revised paper
Preprint