Articles | Volume 18, issue 15
https://doi.org/10.5194/acp-18-11247-2018
© Author(s) 2018. 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-18-11247-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Aug 2018
Research article |
| 13 Aug 2018
| 13 Aug 2018
Intra-annual variations of regional aerosol optical depth, vertical distribution, and particle types from multiple satellite and ground-based observational datasets
Joint Institute for Regional Earth System Science and Engineering and
Department of Atmospheric and Oceanic Sciences, University of California,
Los Angeles, California, USA
Jonathan H. Jiang
Jet propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
David J. Diner
Jet propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
Hui Su
Jet propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
Joint Institute for Regional Earth System Science and Engineering and
Department of Atmospheric and Oceanic Sciences, University of California,
Los Angeles, California, USA
Kuo-Nan Liou
Joint Institute for Regional Earth System Science and Engineering and
Department of Atmospheric and Oceanic Sciences, University of California,
Los Angeles, California, USA
Zhe Jiang
Joint Institute for Regional Earth System Science and Engineering and
Department of Atmospheric and Oceanic Sciences, University of California,
Los Angeles, California, USA
Lei Huang
Joint Institute for Regional Earth System Science and Engineering and
Department of Atmospheric and Oceanic Sciences, University of California,
Los Angeles, California, USA
Yoshi Takano
Joint Institute for Regional Earth System Science and Engineering and
Department of Atmospheric and Oceanic Sciences, University of California,
Los Angeles, California, USA
Xuehua Fan
Joint Institute for Regional Earth System Science and Engineering and
Department of Atmospheric and Oceanic Sciences, University of California,
Los Angeles, California, USA
Ali H. Omar
NASA Langley Research Center, Hampton, Virginia, USA
Related authors
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
Short summary
Short summary
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.
Qianqian Zhang, K. Folkert Boersma, Chiel van der Laan, Alba Mols, Bin Zhao, Shengyue Li, and Yuepeng Pan
EGUsphere, https://doi.org/10.5194/egusphere-2024-2641, https://doi.org/10.5194/egusphere-2024-2641, 2024
Short summary
Short summary
Accurate NOx emission estimates are required to better understand air pollution. This study investigates and demonstrates the ability of the superposition column model in combination with TROPOMI tropospheric NO2 column data to estimate city-scale NOx emissions and lifetimes and their variabilities. The results of this work nevertheless confirm the strength of the superposition column model in estimating urban NOx emissions with reasonable accuracy.
Elyse A. Pennington, Yuan Wang, Benjamin C. Schulze, Karl M. Seltzer, Jiani Yang, Bin Zhao, Zhe Jiang, Hongru Shi, Melissa Venecek, Daniel Chau, Benjamin N. Murphy, Christopher M. Kenseth, Ryan X. Ward, Havala O. T. Pye, and John H. Seinfeld
Atmos. Chem. Phys., 24, 2345–2363, https://doi.org/10.5194/acp-24-2345-2024, https://doi.org/10.5194/acp-24-2345-2024, 2024
Short summary
Short summary
To assess the air quality in Los Angeles (LA), we improved the CMAQ model by using dynamic traffic emissions and new secondary organic aerosol schemes to represent volatile chemical products. Source apportionment demonstrates that the urban areas of the LA Basin and vicinity are NOx-saturated, with the largest sensitivity of O3 to changes in volatile organic compounds in the urban core. The improvement and remaining issues shed light on the future direction of the model development.
Da Gao, Bin Zhao, Shuxiao Wang, Yuan Wang, Brian Gaudet, Yun Zhu, Xiaochun Wang, Jiewen Shen, Shengyue Li, Yicong He, Dejia Yin, and Zhaoxin Dong
Atmos. Chem. Phys., 23, 14359–14373, https://doi.org/10.5194/acp-23-14359-2023, https://doi.org/10.5194/acp-23-14359-2023, 2023
Short summary
Short summary
Surface PM2.5 concentrations can be enhanced by aerosol–radiation interactions (ARIs) and aerosol–cloud interactions (ACIs). In this study, we found PM2.5 enhancement induced by ACIs shows a significantly smaller decrease ratio than that induced by ARIs in China with anthropogenic emission reduction from 2013 to 2021, making ACIs more important for enhancing PM2.5 concentrations. ACI-induced PM2.5 enhancement needs to be emphatically considered to meet the national PM2.5 air quality standard.
Zeqi Li, Shuxiao Wang, Shengyue Li, Xiaochun Wang, Guanghan Huang, Xing Chang, Lyuyin Huang, Chengrui Liang, Yun Zhu, Haotian Zheng, Qian Song, Qingru Wu, Fenfen Zhang, and Bin Zhao
Earth Syst. Sci. Data, 15, 5017–5037, https://doi.org/10.5194/essd-15-5017-2023, https://doi.org/10.5194/essd-15-5017-2023, 2023
Short summary
Short summary
This study developed the first full-volatility organic emission inventory for cooking sources in China, presenting high-resolution cooking emissions during 2015–2021. It identified the key subsectors and hotspots of cooking emissions, analyzed emission trends and drivers, and proposed future control strategies. The dataset is valuable for accurately simulating organic aerosol formation and evolution and for understanding the impact of organic emissions on air pollution and climate change.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
Shengyue Li, Shuxiao Wang, Qingru Wu, Yanning Zhang, Daiwei Ouyang, Haotian Zheng, Licong Han, Xionghui Qiu, Yifan Wen, Min Liu, Yueqi Jiang, Dejia Yin, Kaiyun Liu, Bin Zhao, Shaojun Zhang, Ye Wu, and Jiming Hao
Earth Syst. Sci. Data, 15, 2279–2294, https://doi.org/10.5194/essd-15-2279-2023, https://doi.org/10.5194/essd-15-2279-2023, 2023
Short summary
Short summary
This study compiled China's emission inventory of air pollutants and CO2 during 2005–2021 (ABaCAS-EI v2.0) based on unified emission-source framework. The emission trends and its drivers are analyzed. Key sectors and regions with higher synergistic reduction potential of air pollutants and CO2 are identified. Future control measures are suggested. The dataset and analyses provide insights into the synergistic reduction of air pollutants and CO2 emissions for China and other developing countries.
Qianqian Zhang, K. Folkert Boersma, Bin Zhao, Henk Eskes, Cuihong Chen, Haotian Zheng, and Xingying Zhang
Atmos. Chem. Phys., 23, 551–563, https://doi.org/10.5194/acp-23-551-2023, https://doi.org/10.5194/acp-23-551-2023, 2023
Short summary
Short summary
We developed an improved superposition column model and used the latest released (v2.3.1) TROPOMI satellite NO2 observations to estimate daily city-scale NOx and CO2 emissions. The results are verified against bottom-up emissions and OCO-2 XCO2 observations. We obtained the day-to-day variation of city NOx and CO2 emissions, allowing policymakers to gain real-time information on spatial–temporal emission patterns and the effectiveness of carbon and nitrogen regulation in urban environments.
Zhe Jiang, Hongrong Shi, Bin Zhao, Yu Gu, Yifang Zhu, Kazuyuki Miyazaki, Xin Lu, Yuqiang Zhang, Kevin W. Bowman, Takashi Sekiya, and Kuo-Nan Liou
Atmos. Chem. Phys., 21, 8693–8708, https://doi.org/10.5194/acp-21-8693-2021, https://doi.org/10.5194/acp-21-8693-2021, 2021
Short summary
Short summary
We use the COVID-19 pandemic as a unique natural experiment to obtain a more robust understanding of the effectiveness of emission reductions toward air quality improvement by combining chemical transport simulations and observations. Our findings imply a shift from current control policies in California: a strengthened control on primary PM2.5 emissions and a well-balanced control on NOx and volatile organic compounds are needed to effectively and sustainably alleviate PM2.5 and O3 pollution.
Brigitte Rooney, Yuan Wang, Jonathan H. Jiang, Bin Zhao, Zhao-Cheng Zeng, and John H. Seinfeld
Atmos. Chem. Phys., 20, 14597–14616, https://doi.org/10.5194/acp-20-14597-2020, https://doi.org/10.5194/acp-20-14597-2020, 2020
Short summary
Short summary
Wildfires have become increasingly prevalent. Intense smoke consisting of particulate matter (PM) leads to an increased risk of morbidity and mortality. The record-breaking Camp Fire ravaged Northern California for two weeks in 2018. Here, we employ a comprehensive chemical transport model along with ground-based and satellite observations to characterize the PM concentrations across Northern California and to investigate the pollution sensitivity predictions to key parameters of the model.
Mingchen Ma, Yang Gao, Yuhang Wang, Shaoqing Zhang, L. Ruby Leung, Cheng Liu, Shuxiao Wang, Bin Zhao, Xing Chang, Hang Su, Tianqi Zhang, Lifang Sheng, Xiaohong Yao, and Huiwang Gao
Atmos. Chem. Phys., 19, 12195–12207, https://doi.org/10.5194/acp-19-12195-2019, https://doi.org/10.5194/acp-19-12195-2019, 2019
Short summary
Short summary
Ozone pollution has become severe in China, and extremely high ozone episodes occurred in summer 2017 over the North China Plain. While meteorology impacts are clear, we find that enhanced biogenic emissions, previously ignored by the community, driven by high vapor pressure deficit, land cover change and urban landscape contribute substantially to ozone formation. This study has significant implications for ozone pollution control with more frequent heat waves and urbanization growth in future.
Haotian Zheng, Siyi Cai, Shuxiao Wang, Bin Zhao, Xing Chang, and Jiming Hao
Atmos. Chem. Phys., 19, 3447–3462, https://doi.org/10.5194/acp-19-3447-2019, https://doi.org/10.5194/acp-19-3447-2019, 2019
Short summary
Short summary
The heavy air pollution in the Beijing-Tianjin-Hebei (BTH) region is a global hot topic. We established a unit-based industrial emission inventory for the BTH region. The inventory significantly improved air quality modeling results; this improvement subsequently contributes to an accurate source apportionment of haze pollution and more precisely targeted decision making.
Ge Zhang, Yang Gao, Wenju Cai, L. Ruby Leung, Shuxiao Wang, Bin Zhao, Minghuai Wang, Huayao Shan, Xiaohong Yao, and Huiwang Gao
Atmos. Chem. Phys., 19, 565–576, https://doi.org/10.5194/acp-19-565-2019, https://doi.org/10.5194/acp-19-565-2019, 2019
Short summary
Short summary
Based on observed data, this study reveals a distinct seesaw feature of abnormally high and low PM2.5 concentrations in December 2015 and January 2016 over North China. The mechanism of the seesaw pattern was found to be linked to a super El Niño and the Arctic Oscillation (AO). During the mature phase of El Niño in December 2015, the weakened East Asian winter monsoon favors strong haze formation; however, the circulation pattern was reversed in the next month due to the phase change of the AO.
Jia Xing, Dian Ding, Shuxiao Wang, Bin Zhao, Carey Jang, Wenjing Wu, Fenfen Zhang, Yun Zhu, and Jiming Hao
Atmos. Chem. Phys., 18, 7799–7814, https://doi.org/10.5194/acp-18-7799-2018, https://doi.org/10.5194/acp-18-7799-2018, 2018
Short summary
Short summary
NOx is the common precursor for both PM2.5 and O3 pollution, while the effectiveness of NOx controls for reducing PM2.5 and O3 are largely influenced by the ambient levels of NH3 and VOCs. This study developed a new method to quantify the nonlinear effectiveness of emission controls for reducing PM2.5 and O3. The new method not only substantially reduces the computational burden but also provides a series of quantitative indicators to quantify the nonlinear control effectiveness.
Longtao Wu, Yu Gu, Jonathan H. Jiang, Hui Su, Nanpeng Yu, Chun Zhao, Yun Qian, Bin Zhao, Kuo-Nan Liou, and Yong-Sang Choi
Atmos. Chem. Phys., 18, 5529–5547, https://doi.org/10.5194/acp-18-5529-2018, https://doi.org/10.5194/acp-18-5529-2018, 2018
Xing Chang, Shuxiao Wang, Bin Zhao, Siyi Cai, and Jiming Hao
Atmos. Chem. Phys., 18, 4843–4858, https://doi.org/10.5194/acp-18-4843-2018, https://doi.org/10.5194/acp-18-4843-2018, 2018
Short summary
Short summary
The Beijing–Tianjin–Hebei region in China has been suffering from a severe particulate matter pollution, and the inter-city transport of the pollutant plays an important role. The current research quantitatively assesses the transport process. We identify three transport pathways. The southwest–northwest one happens in both winter and summer. The transport is stronger at 300–1000 m, or 1–2 days before a pollution peak. The result may guide the joint emission control along the transport pathway.
Bin Zhao, Kuo-Nan Liou, Yu Gu, Jonathan H. Jiang, Qinbin Li, Rong Fu, Lei Huang, Xiaohong Liu, Xiangjun Shi, Hui Su, and Cenlin He
Atmos. Chem. Phys., 18, 1065–1078, https://doi.org/10.5194/acp-18-1065-2018, https://doi.org/10.5194/acp-18-1065-2018, 2018
Short summary
Short summary
The interactions between aerosols and ice clouds represent one of the largest uncertainties among anthropogenic forcings on climate change. We find that the responses of ice crystal effective radius, a key parameter determining ice clouds' net radiative effect, to aerosol loadings are modulated by water vapor amount and vary from a significant negative correlation in moist conditions (consistent with the “Twomey effect” for liquid clouds) to a strong positive correlation in dry conditions.
Jianlin Hu, Xun Li, Lin Huang, Qi Ying, Qiang Zhang, Bin Zhao, Shuxiao Wang, and Hongliang Zhang
Atmos. Chem. Phys., 17, 13103–13118, https://doi.org/10.5194/acp-17-13103-2017, https://doi.org/10.5194/acp-17-13103-2017, 2017
Short summary
Short summary
The model performance of CMAQ with WRF using four different emission inventories in China was validated and compared to obtain the best air pollutants prediction for health effect studies of severe air pollution. The differences in performance of chemical transport model were analyzed for different months and regions in the vast part of China and ensemble predictions were firstly obtained from different inventories for health analysis with minimized errors for pollutants including PM2.5 and O3.
Bin Zhao, Wenjing Wu, Shuxiao Wang, Jia Xing, Xing Chang, Kuo-Nan Liou, Jonathan H. Jiang, Yu Gu, Carey Jang, Joshua S. Fu, Yun Zhu, Jiandong Wang, Yan Lin, and Jiming Hao
Atmos. Chem. Phys., 17, 12031–12050, https://doi.org/10.5194/acp-17-12031-2017, https://doi.org/10.5194/acp-17-12031-2017, 2017
Short summary
Short summary
Using over 1000 chemical transport model simulations in the Beijing–Tianjin–Hebei region, we find that the emissions of primary inorganic PM2.5 make the largest contribution to PM2.5 concentrations and thus should be prioritized in PM2.5 control strategies. Among the precursors, PM2.5 concentrations are primarily sensitive to the emissions of NH3, NMVOC+IVOC, and POA, and the sensitivities increase substantially for NH3 and NHx with the increase in emission reduction ratio.
Qiao Ma, Siyi Cai, Shuxiao Wang, Bin Zhao, Randall V. Martin, Michael Brauer, Aaron Cohen, Jingkun Jiang, Wei Zhou, Jiming Hao, Joseph Frostad, Mohammad H. Forouzanfar, and Richard T. Burnett
Atmos. Chem. Phys., 17, 4477–4491, https://doi.org/10.5194/acp-17-4477-2017, https://doi.org/10.5194/acp-17-4477-2017, 2017
Short summary
Short summary
In order to quantitatively identify the contributions of coal combustion to airborne fine particles, we developed an emission inventory using up-to-date information and conducted simulations using an atmospheric model. Results show that coal combustion contributes 40 % of the airborne fine-particle concentration on national average in China. Among the subsectors of coal combustion, industrial coal burning is the dominant contributor, which should be prioritized when policies are applied.
Bin Zhao, Kuo-Nan Liou, Yu Gu, Cenlin He, Wee-Liang Lee, Xing Chang, Qinbin Li, Shuxiao Wang, Hsien-Liang R. Tseng, Lai-Yung R. Leung, and Jiming Hao
Atmos. Chem. Phys., 16, 5841–5852, https://doi.org/10.5194/acp-16-5841-2016, https://doi.org/10.5194/acp-16-5841-2016, 2016
Short summary
Short summary
We examine the impact of buildings on surface solar fluxes in Beijing by accounting for their 3-D structures. We find that inclusion of buildings changes surface solar fluxes by within ±1 W m−2, ±1–10 W m−2, and up to ±100 W m−2 at grid resolutions of 4 km, 800 m, and 90 m, respectively. We can resolve pairs of positive-negative flux deviations on different sides of buildings at ≤ 800 m resolutions. We should treat building-effect on solar fluxes differently in models with different resolutions.
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
Short summary
Short summary
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.
Qianqian Zhang, K. Folkert Boersma, Chiel van der Laan, Alba Mols, Bin Zhao, Shengyue Li, and Yuepeng Pan
EGUsphere, https://doi.org/10.5194/egusphere-2024-2641, https://doi.org/10.5194/egusphere-2024-2641, 2024
Short summary
Short summary
Accurate NOx emission estimates are required to better understand air pollution. This study investigates and demonstrates the ability of the superposition column model in combination with TROPOMI tropospheric NO2 column data to estimate city-scale NOx emissions and lifetimes and their variabilities. The results of this work nevertheless confirm the strength of the superposition column model in estimating urban NOx emissions with reasonable accuracy.
Xiaoyu Ren, Dongxu Yang, Yi Liu, Yong Wang, Ting Wang, Zhaonan Cai, Lu Yao, Tonghui Zhao, Jing Wang, and Zhe Jiang
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-49, https://doi.org/10.5194/amt-2024-49, 2024
Revised manuscript has not been submitted
Short summary
Short summary
We aim to verify the performance of the low-cost CO2 sensors (LUCCN). The measurements show that accuracies of LUCCNs are higher than the medium accuracy standard. And LUCCNs are also sensitive to the changes of CO2 concentrations. These results prove that the LUCCN can measure CO2 concentrations effectively, which means that LUCCN is a powerful tool to achieve the CO2 monitoring network.
Piyushkumar N. Patel, Jonathan H. Jiang, Ritesh Gautam, Harish Gadhavi, Olga Kalashnikova, Michael J. Garay, Lan Gao, Feng Xu, and Ali Omar
Atmos. Chem. Phys., 24, 2861–2883, https://doi.org/10.5194/acp-24-2861-2024, https://doi.org/10.5194/acp-24-2861-2024, 2024
Short summary
Short summary
Global measurements of cloud condensation nuclei (CCN) are essential for understanding aerosol–cloud interactions and predicting climate change. To address this gap, we introduced a remote sensing algorithm that retrieves vertically resolved CCN number concentrations from airborne and spaceborne lidar systems. This innovation offers a global distribution of CCN concentrations from space, facilitating model evaluation and precise quantification of aerosol climate forcing.
Elyse A. Pennington, Yuan Wang, Benjamin C. Schulze, Karl M. Seltzer, Jiani Yang, Bin Zhao, Zhe Jiang, Hongru Shi, Melissa Venecek, Daniel Chau, Benjamin N. Murphy, Christopher M. Kenseth, Ryan X. Ward, Havala O. T. Pye, and John H. Seinfeld
Atmos. Chem. Phys., 24, 2345–2363, https://doi.org/10.5194/acp-24-2345-2024, https://doi.org/10.5194/acp-24-2345-2024, 2024
Short summary
Short summary
To assess the air quality in Los Angeles (LA), we improved the CMAQ model by using dynamic traffic emissions and new secondary organic aerosol schemes to represent volatile chemical products. Source apportionment demonstrates that the urban areas of the LA Basin and vicinity are NOx-saturated, with the largest sensitivity of O3 to changes in volatile organic compounds in the urban core. The improvement and remaining issues shed light on the future direction of the model development.
Da Gao, Bin Zhao, Shuxiao Wang, Yuan Wang, Brian Gaudet, Yun Zhu, Xiaochun Wang, Jiewen Shen, Shengyue Li, Yicong He, Dejia Yin, and Zhaoxin Dong
Atmos. Chem. Phys., 23, 14359–14373, https://doi.org/10.5194/acp-23-14359-2023, https://doi.org/10.5194/acp-23-14359-2023, 2023
Short summary
Short summary
Surface PM2.5 concentrations can be enhanced by aerosol–radiation interactions (ARIs) and aerosol–cloud interactions (ACIs). In this study, we found PM2.5 enhancement induced by ACIs shows a significantly smaller decrease ratio than that induced by ARIs in China with anthropogenic emission reduction from 2013 to 2021, making ACIs more important for enhancing PM2.5 concentrations. ACI-induced PM2.5 enhancement needs to be emphatically considered to meet the national PM2.5 air quality standard.
Zeqi Li, Shuxiao Wang, Shengyue Li, Xiaochun Wang, Guanghan Huang, Xing Chang, Lyuyin Huang, Chengrui Liang, Yun Zhu, Haotian Zheng, Qian Song, Qingru Wu, Fenfen Zhang, and Bin Zhao
Earth Syst. Sci. Data, 15, 5017–5037, https://doi.org/10.5194/essd-15-5017-2023, https://doi.org/10.5194/essd-15-5017-2023, 2023
Short summary
Short summary
This study developed the first full-volatility organic emission inventory for cooking sources in China, presenting high-resolution cooking emissions during 2015–2021. It identified the key subsectors and hotspots of cooking emissions, analyzed emission trends and drivers, and proposed future control strategies. The dataset is valuable for accurately simulating organic aerosol formation and evolution and for understanding the impact of organic emissions on air pollution and climate change.
Yun Lin, Yuan Wang, Jen-Shan Hsieh, Jonathan H. Jiang, Qiong Su, Lijun Zhao, Michael Lavallee, and Renyi Zhang
Atmos. Chem. Phys., 23, 13835–13852, https://doi.org/10.5194/acp-23-13835-2023, https://doi.org/10.5194/acp-23-13835-2023, 2023
Short summary
Short summary
Tropical cyclones (TCs) can cause catastrophic damage to coastal regions. We used a numerical model that explicitly simulates aerosol–cloud interaction and atmosphere–ocean coupling. We show that aerosols and ocean coupling work together to make TC storms bigger but weaker. Moreover, TCs in polluted air have more rainfall and higher sea levels, leading to more severe storm surges and flooding. Our research highlights the roles of aerosols and ocean-coupling feedbacks in TC hazard assessment.
Robert R. Nelson, Marcin L. Witek, Michael J. Garay, Michael A. Bull, James A. Limbacher, Ralph A. Kahn, and David J. Diner
Atmos. Meas. Tech., 16, 4947–4960, https://doi.org/10.5194/amt-16-4947-2023, https://doi.org/10.5194/amt-16-4947-2023, 2023
Short summary
Short summary
Shallow and coastal waters are nutrient-rich and turbid due to runoff. They are also located in areas where the atmosphere has more aerosols than open-ocean waters. NASA's Multi-angle Imaging SpectroRadiometer (MISR) has been monitoring aerosols for over 23 years but does not report results over shallow waters. We developed a new algorithm that uses all four of MISR’s bands and considers light leaving water surfaces. This algorithm performs well and increases over-water measurements by over 7 %.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
Shengyue Li, Shuxiao Wang, Qingru Wu, Yanning Zhang, Daiwei Ouyang, Haotian Zheng, Licong Han, Xionghui Qiu, Yifan Wen, Min Liu, Yueqi Jiang, Dejia Yin, Kaiyun Liu, Bin Zhao, Shaojun Zhang, Ye Wu, and Jiming Hao
Earth Syst. Sci. Data, 15, 2279–2294, https://doi.org/10.5194/essd-15-2279-2023, https://doi.org/10.5194/essd-15-2279-2023, 2023
Short summary
Short summary
This study compiled China's emission inventory of air pollutants and CO2 during 2005–2021 (ABaCAS-EI v2.0) based on unified emission-source framework. The emission trends and its drivers are analyzed. Key sectors and regions with higher synergistic reduction potential of air pollutants and CO2 are identified. Future control measures are suggested. The dataset and analyses provide insights into the synergistic reduction of air pollutants and CO2 emissions for China and other developing countries.
Congcong Qiao, Song Liu, Juan Huo, Xihan Mu, Ping Wang, Shengjie Jia, Xuehua Fan, and Minzheng Duan
Atmos. Meas. Tech., 16, 1539–1549, https://doi.org/10.5194/amt-16-1539-2023, https://doi.org/10.5194/amt-16-1539-2023, 2023
Short summary
Short summary
We established a spectral-fitting method to derive precipitable water vapor (PWV) and aerosol optical depth based on a strict radiative transfer theory by the spectral measurements of direct sun from EKO MS711 and MS712 spectroradiometers. The retrievals were compared with that of the colocated CE-318 photometer; the results showed a high degree of consistency. In the PWV inversion, a strong water vapor absorption band around 1370 nm is introduced to retrieve PWV in a relatively dry atmosphere.
Dalei Hao, Gautam Bisht, Karl Rittger, Timbo Stillinger, Edward Bair, Yu Gu, and L. Ruby Leung
The Cryosphere, 17, 673–697, https://doi.org/10.5194/tc-17-673-2023, https://doi.org/10.5194/tc-17-673-2023, 2023
Short summary
Short summary
We comprehensively evaluated the snow simulations in E3SM land model over the western United States in terms of spatial patterns, temporal correlations, interannual variabilities, elevation gradients, and change with forest cover of snow properties and snow phenology. Our study underscores the need for diagnosing model biases and improving the model representations of snow properties and snow phenology in mountainous areas for more credible simulation and future projection of mountain snowpack.
Jason L. Tackett, Jayanta Kar, Mark A. Vaughan, Brian J. Getzewich, Man-Hae Kim, Jean-Paul Vernier, Ali H. Omar, Brian E. Magill, Michael C. Pitts, and David M. Winker
Atmos. Meas. Tech., 16, 745–768, https://doi.org/10.5194/amt-16-745-2023, https://doi.org/10.5194/amt-16-745-2023, 2023
Short summary
Short summary
The accurate identification of aerosol types in the stratosphere is important to characterize their impacts on the Earth climate system. The space-borne lidar on board CALIPSO is well-posed to identify aerosols in the stratosphere from volcanic eruptions and major wildfire events. This paper describes improvements implemented in the version 4.5 CALIPSO data release to more accurately discriminate between volcanic ash, sulfate, and smoke within the stratosphere.
Qianqian Zhang, K. Folkert Boersma, Bin Zhao, Henk Eskes, Cuihong Chen, Haotian Zheng, and Xingying Zhang
Atmos. Chem. Phys., 23, 551–563, https://doi.org/10.5194/acp-23-551-2023, https://doi.org/10.5194/acp-23-551-2023, 2023
Short summary
Short summary
We developed an improved superposition column model and used the latest released (v2.3.1) TROPOMI satellite NO2 observations to estimate daily city-scale NOx and CO2 emissions. The results are verified against bottom-up emissions and OCO-2 XCO2 observations. We obtained the day-to-day variation of city NOx and CO2 emissions, allowing policymakers to gain real-time information on spatial–temporal emission patterns and the effectiveness of carbon and nitrogen regulation in urban environments.
Dalei Hao, Gautam Bisht, Karl Rittger, Edward Bair, Cenlin He, Huilin Huang, Cheng Dang, Timbo Stillinger, Yu Gu, Hailong Wang, Yun Qian, and L. Ruby Leung
Geosci. Model Dev., 16, 75–94, https://doi.org/10.5194/gmd-16-75-2023, https://doi.org/10.5194/gmd-16-75-2023, 2023
Short summary
Short summary
Snow with the highest albedo of land surface plays a vital role in Earth’s surface energy budget and water cycle. This study accounts for the impacts of snow grain shape and mixing state of light-absorbing particles with snow on snow albedo in the E3SM land model. The findings advance our understanding of the role of snow grain shape and mixing state of LAP–snow in land surface processes and offer guidance for improving snow simulations and radiative forcing estimates in Earth system models.
Dalei Hao, Gautam Bisht, Yu Gu, Wei-Liang Lee, Kuo-Nan Liou, and L. Ruby Leung
Geosci. Model Dev., 14, 6273–6289, https://doi.org/10.5194/gmd-14-6273-2021, https://doi.org/10.5194/gmd-14-6273-2021, 2021
Short summary
Short summary
Topography exerts significant influence on the incoming solar radiation at the land surface. This study incorporated a well-validated sub-grid topographic parameterization in E3SM land model (ELM) version 1.0. The results demonstrate that sub-grid topography has non-negligible effects on surface energy budget, snow cover, and surface temperature over the Tibetan Plateau and that the ELM simulations are sensitive to season, elevation, and spatial scale.
Sudip Chakraborty, Jonathon H. Jiang, Hui Su, and Rong Fu
Atmos. Chem. Phys., 21, 12855–12866, https://doi.org/10.5194/acp-21-12855-2021, https://doi.org/10.5194/acp-21-12855-2021, 2021
Short summary
Short summary
Boreal autumn is the main wet season over the Congo basin. Thus, changes in its onset date have a significant impact on the rainforest. This study provides compelling evidence that the cooling effect of aerosols modifies the timing and strength of the southern African easterly jet that is central to the boreal autumn wet season over the Congo rainforest. A higher boreal summer aerosol concentration is positively correlated with the boreal autumn wet season onset timing.
Marcin L. Witek, Michael J. Garay, David J. Diner, Michael A. Bull, Felix C. Seidel, Abigail M. Nastan, and Earl G. Hansen
Atmos. Meas. Tech., 14, 5577–5591, https://doi.org/10.5194/amt-14-5577-2021, https://doi.org/10.5194/amt-14-5577-2021, 2021
Short summary
Short summary
This article documents the development and testing of a new near real-time (NRT) aerosol product from the MISR instrument on NASA’s Terra platform. The NRT product capitalizes on the unique attributes of the MISR retrieval approach, which leads to a high-quality and reliable aerosol data product. Several modifications are described that allow for rapid product generation within a 3 h window following acquisition. Implications for the product quality and consistency are discussed.
Zhe Jiang, Hongrong Shi, Bin Zhao, Yu Gu, Yifang Zhu, Kazuyuki Miyazaki, Xin Lu, Yuqiang Zhang, Kevin W. Bowman, Takashi Sekiya, and Kuo-Nan Liou
Atmos. Chem. Phys., 21, 8693–8708, https://doi.org/10.5194/acp-21-8693-2021, https://doi.org/10.5194/acp-21-8693-2021, 2021
Short summary
Short summary
We use the COVID-19 pandemic as a unique natural experiment to obtain a more robust understanding of the effectiveness of emission reductions toward air quality improvement by combining chemical transport simulations and observations. Our findings imply a shift from current control policies in California: a strengthened control on primary PM2.5 emissions and a well-balanced control on NOx and volatile organic compounds are needed to effectively and sustainably alleviate PM2.5 and O3 pollution.
Ioana Elisabeta Popovici, Zhaoze Deng, Philippe Goloub, Xiangao Xia, Hongbin Chen, Luc Blarel, Thierry Podvin, Yitian Hao, Hongyan Chen, Disong Fu, Nan Yin, Benjamin Torres, Stéphane Victori, and Xuehua Fan
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-1269, https://doi.org/10.5194/acp-2020-1269, 2021
Preprint withdrawn
Short summary
Short summary
This study reports results from MOABAI campaign (Mobile Observation of Atmosphere By vehicle-borne Aerosol measurement Instruments) in North China Plain in may 2017, a unique campaign involving a van equipped with remote sensing and in situ instruments to perform on-road mobile measurements. Aerosol optical properties and mass concentration profiles were derived, capturing the fine spatial distribution of pollution and concentration levels.
Joaquim V. Teixeira, Hai Nguyen, Derek J. Posselt, Hui Su, and Longtao Wu
Atmos. Meas. Tech., 14, 1941–1957, https://doi.org/10.5194/amt-14-1941-2021, https://doi.org/10.5194/amt-14-1941-2021, 2021
Short summary
Short summary
Wind-tracking algorithms produce atmospheric motion vectors (AMVs) by tracking satellite observations. Accurately characterizing the uncertainties in AMVs is essential in assimilating them into data assimilation models. We develop a machine-learning-based approach for error characterization which involves Gaussian mixture model clustering and random forest using a simulation dataset of water vapor, AMVs, and true winds. We show that our method improves on existing AMV error characterizations.
Jens Redemann, Robert Wood, Paquita Zuidema, Sarah J. Doherty, Bernadette Luna, Samuel E. LeBlanc, Michael S. Diamond, Yohei Shinozuka, Ian Y. Chang, Rei Ueyama, Leonhard Pfister, Ju-Mee Ryoo, Amie N. Dobracki, Arlindo M. da Silva, Karla M. Longo, Meloë S. Kacenelenbogen, Connor J. Flynn, Kristina Pistone, Nichola M. Knox, Stuart J. Piketh, James M. Haywood, Paola Formenti, Marc Mallet, Philip Stier, Andrew S. Ackerman, Susanne E. Bauer, Ann M. Fridlind, Gregory R. Carmichael, Pablo E. Saide, Gonzalo A. Ferrada, Steven G. Howell, Steffen Freitag, Brian Cairns, Brent N. Holben, Kirk D. Knobelspiesse, Simone Tanelli, Tristan S. L'Ecuyer, Andrew M. Dzambo, Ousmane O. Sy, Greg M. McFarquhar, Michael R. Poellot, Siddhant Gupta, Joseph R. O'Brien, Athanasios Nenes, Mary Kacarab, Jenny P. S. Wong, Jennifer D. Small-Griswold, Kenneth L. Thornhill, David Noone, James R. Podolske, K. Sebastian Schmidt, Peter Pilewskie, Hong Chen, Sabrina P. Cochrane, Arthur J. Sedlacek, Timothy J. Lang, Eric Stith, Michal Segal-Rozenhaimer, Richard A. Ferrare, Sharon P. Burton, Chris A. Hostetler, David J. Diner, Felix C. Seidel, Steven E. Platnick, Jeffrey S. Myers, Kerry G. Meyer, Douglas A. Spangenberg, Hal Maring, and Lan Gao
Atmos. Chem. Phys., 21, 1507–1563, https://doi.org/10.5194/acp-21-1507-2021, https://doi.org/10.5194/acp-21-1507-2021, 2021
Short summary
Short summary
Southern Africa produces significant biomass burning emissions whose impacts on regional and global climate are poorly understood. ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) is a 5-year NASA investigation designed to study the key processes that determine these climate impacts. The main purpose of this paper is to familiarize the broader scientific community with the ORACLES project, the dataset it produced, and the most important initial findings.
Brigitte Rooney, Yuan Wang, Jonathan H. Jiang, Bin Zhao, Zhao-Cheng Zeng, and John H. Seinfeld
Atmos. Chem. Phys., 20, 14597–14616, https://doi.org/10.5194/acp-20-14597-2020, https://doi.org/10.5194/acp-20-14597-2020, 2020
Short summary
Short summary
Wildfires have become increasingly prevalent. Intense smoke consisting of particulate matter (PM) leads to an increased risk of morbidity and mortality. The record-breaking Camp Fire ravaged Northern California for two weeks in 2018. Here, we employ a comprehensive chemical transport model along with ground-based and satellite observations to characterize the PM concentrations across Northern California and to investigate the pollution sensitivity predictions to key parameters of the model.
Kirk Knobelspiesse, Henrique M. J. Barbosa, Christine Bradley, Carol Bruegge, Brian Cairns, Gao Chen, Jacek Chowdhary, Anthony Cook, Antonio Di Noia, Bastiaan van Diedenhoven, David J. Diner, Richard Ferrare, Guangliang Fu, Meng Gao, Michael Garay, Johnathan Hair, David Harper, Gerard van Harten, Otto Hasekamp, Mark Helmlinger, Chris Hostetler, Olga Kalashnikova, Andrew Kupchock, Karla Longo De Freitas, Hal Maring, J. Vanderlei Martins, Brent McBride, Matthew McGill, Ken Norlin, Anin Puthukkudy, Brian Rheingans, Jeroen Rietjens, Felix C. Seidel, Arlindo da Silva, Martijn Smit, Snorre Stamnes, Qian Tan, Sebastian Val, Andrzej Wasilewski, Feng Xu, Xiaoguang Xu, and John Yorks
Earth Syst. Sci. Data, 12, 2183–2208, https://doi.org/10.5194/essd-12-2183-2020, https://doi.org/10.5194/essd-12-2183-2020, 2020
Short summary
Short summary
The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) field campaign is a resource for the next generation of spaceborne multi-angle polarimeter (MAP) and lidar missions. Conducted in the fall of 2017 from the Armstrong Flight Research Center in Palmdale, California, four MAP instruments and two lidars were flown on the high-altitude ER-2 aircraft over a variety of scene types and ground assets. Data are freely available to the public and useful for algorithm development and testing.
Zhe Jiang, Minzheng Duan, Huizheng Che, Wenxing Zhang, Teruyuki Nakajima, Makiko Hashimoto, Bin Chen, and Akihiro Yamazaki
Atmos. Meas. Tech., 13, 1195–1212, https://doi.org/10.5194/amt-13-1195-2020, https://doi.org/10.5194/amt-13-1195-2020, 2020
Short summary
Short summary
This study analyzed the aerosol optical properties derived by SKYRAD.pack versions 5.0 and 4.2 using the radiometer measurements over Qionghai and Yucheng in China, which are two new sites of SKYNET. The seasonal variability of the aerosol properties over the two sites were investigated based on SKYRAD.pack V5.0. The validation results provide valuable references for continued improvement of the retrieval algorithms of SKYNET and other aerosol observational networks.
Michael J. Garay, Marcin L. Witek, Ralph A. Kahn, Felix C. Seidel, James A. Limbacher, Michael A. Bull, David J. Diner, Earl G. Hansen, Olga V. Kalashnikova, Huikyo Lee, Abigail M. Nastan, and Yan Yu
Atmos. Meas. Tech., 13, 593–628, https://doi.org/10.5194/amt-13-593-2020, https://doi.org/10.5194/amt-13-593-2020, 2020
Short summary
Short summary
The Multi-angle Imaging SpectroRadiometer (MISR) instrument has been operational since early 2000, creating an extensive data set of global Earth observations. Here we introduce the latest version (V23) of the MISR aerosol products, which is reported on a 4.4 km spatial grid and contains retrieved aerosol optical depth and aerosol particle property information derived over both land and water. The changes implemented in V23 have significant impacts on the data product and its interpretation.
Guangliang Fu, Otto Hasekamp, Jeroen Rietjens, Martijn Smit, Antonio Di Noia, Brian Cairns, Andrzej Wasilewski, David Diner, Felix Seidel, Feng Xu, Kirk Knobelspiesse, Meng Gao, Arlindo da Silva, Sharon Burton, Chris Hostetler, John Hair, and Richard Ferrare
Atmos. Meas. Tech., 13, 553–573, https://doi.org/10.5194/amt-13-553-2020, https://doi.org/10.5194/amt-13-553-2020, 2020
Short summary
Short summary
In this paper, we present aerosol retrieval results from the ACEPOL (Aerosol Characterization from Polarimeter and Lidar) campaign, which was a joint initiative between NASA and SRON (the Netherlands Institute for Space Research). We perform aerosol retrievals from different multi-angle polarimeters employed during the ACEPOL campaign and evaluate them against ground-based AERONET measurements and High Spectral Resolution Lidar-2 (HSRL-2) measurements.
Wenbo Sun, Yongxiang Hu, Rosemary R. Baize, Gorden Videen, Sungsoo S. Kim, Young-Jun Choi, Kyungin Kang, Chae Kyung Sim, Minsup Jeong, Ali Omar, Snorre A. Stamnes, David G. MacDonnell, and Evgenij Zubko
Atmos. Chem. Phys., 19, 15583–15586, https://doi.org/10.5194/acp-19-15583-2019, https://doi.org/10.5194/acp-19-15583-2019, 2019
Short summary
Short summary
Dusts have a significant impact on climate and environment. Detecting dust using satellite instruments is generally conducted by measuring at multiple observation angles due to the uncertainty of the surface reflection. This report shows that the degree of polarization of reflected light can be used for retrieving the optical depth of dust at backscatter angles only, regardless of surface conditions. This simple method is suitable for surveying dust aerosols over oceans with low-cost satellites.
Mingchen Ma, Yang Gao, Yuhang Wang, Shaoqing Zhang, L. Ruby Leung, Cheng Liu, Shuxiao Wang, Bin Zhao, Xing Chang, Hang Su, Tianqi Zhang, Lifang Sheng, Xiaohong Yao, and Huiwang Gao
Atmos. Chem. Phys., 19, 12195–12207, https://doi.org/10.5194/acp-19-12195-2019, https://doi.org/10.5194/acp-19-12195-2019, 2019
Short summary
Short summary
Ozone pollution has become severe in China, and extremely high ozone episodes occurred in summer 2017 over the North China Plain. While meteorology impacts are clear, we find that enhanced biogenic emissions, previously ignored by the community, driven by high vapor pressure deficit, land cover change and urban landscape contribute substantially to ozone formation. This study has significant implications for ozone pollution control with more frequent heat waves and urbanization growth in future.
Shan Zeng, Mark Vaughan, Zhaoyan Liu, Charles Trepte, Jayanta Kar, Ali Omar, David Winker, Patricia Lucker, Yongxiang Hu, Brian Getzewich, and Melody Avery
Atmos. Meas. Tech., 12, 2261–2285, https://doi.org/10.5194/amt-12-2261-2019, https://doi.org/10.5194/amt-12-2261-2019, 2019
Short summary
Short summary
We use a fuzzy k-means (FKM) classifier to assess the ability of the CALIPSO cloud–aerosol discrimination (CAD) algorithm to correctly distinguish between clouds and aerosols detected in the CALIPSO lidar backscatter signals. FKM is an unsupervised learning algorithm, so the classifications it derives are wholly independent from those reported by the CAD scheme. For a full month of measurements, the two techniques agree in ~ 95 % of all cases, providing strong evidence for CAD correctness.
Meloë S. Kacenelenbogen, Mark A. Vaughan, Jens Redemann, Stuart A. Young, Zhaoyan Liu, Yongxiang Hu, Ali H. Omar, Samuel LeBlanc, Yohei Shinozuka, John Livingston, Qin Zhang, and Kathleen A. Powell
Atmos. Chem. Phys., 19, 4933–4962, https://doi.org/10.5194/acp-19-4933-2019, https://doi.org/10.5194/acp-19-4933-2019, 2019
Short summary
Short summary
Significant efforts are required to estimate the direct radiative effects of aerosols above clouds (DAREcloudy). We have used a combination of passive and active A-Train satellite sensors and derive mainly positive global and regional DAREcloudy values (e.g., global seasonal values between 0.13 and 0.26 W m-2). Despite differences in methods and sensors, the DAREcloudy values in this study are generally higher than previously reported. We discuss the primary reasons for these higher estimates.
Jui-Lin Frank Li, Mark Richardson, Wei-Liang Lee, Eric Fetzer, Graeme Stephens, Jonathan Jiang, Yulan Hong, Yi-Hui Wang, Jia-Yuh Yu, and Yinghui Liu
The Cryosphere, 13, 969–980, https://doi.org/10.5194/tc-13-969-2019, https://doi.org/10.5194/tc-13-969-2019, 2019
Short summary
Short summary
Observed summer Arctic sea ice retreat has been faster than simulated by the average CMIP5 models, most of which exclude falling ice particles from their radiative calculations.
We use controlled CESM1-CAM5 simulations to show for the first time that snowflakes' radiative effects can accelerate sea ice retreat. September retreat rates are doubled above current CO2 levels, highlighting falling ice radiative effects as a high priority for inclusion in future modelling of the Arctic.
Haotian Zheng, Siyi Cai, Shuxiao Wang, Bin Zhao, Xing Chang, and Jiming Hao
Atmos. Chem. Phys., 19, 3447–3462, https://doi.org/10.5194/acp-19-3447-2019, https://doi.org/10.5194/acp-19-3447-2019, 2019
Short summary
Short summary
The heavy air pollution in the Beijing-Tianjin-Hebei (BTH) region is a global hot topic. We established a unit-based industrial emission inventory for the BTH region. The inventory significantly improved air quality modeling results; this improvement subsequently contributes to an accurate source apportionment of haze pollution and more precisely targeted decision making.
Zhaoyan Liu, Jayanta Kar, Shan Zeng, Jason Tackett, Mark Vaughan, Melody Avery, Jacques Pelon, Brian Getzewich, Kam-Pui Lee, Brian Magill, Ali Omar, Patricia Lucker, Charles Trepte, and David Winker
Atmos. Meas. Tech., 12, 703–734, https://doi.org/10.5194/amt-12-703-2019, https://doi.org/10.5194/amt-12-703-2019, 2019
Short summary
Short summary
We describe the enhancements made to the cloud–aerosol discrimination (CAD) algorithms used to produce the CALIPSO version 4 (V4) data products. Revisions to the CAD probability distribution functions have greatly improved the recognition of aerosol layers lofted into the upper troposphere, and CAD is now applied to all layers detected in the stratosphere and all layers detected at single-shot resolution. Detailed comparisons show significant improvements relative to previous versions.
Ge Zhang, Yang Gao, Wenju Cai, L. Ruby Leung, Shuxiao Wang, Bin Zhao, Minghuai Wang, Huayao Shan, Xiaohong Yao, and Huiwang Gao
Atmos. Chem. Phys., 19, 565–576, https://doi.org/10.5194/acp-19-565-2019, https://doi.org/10.5194/acp-19-565-2019, 2019
Short summary
Short summary
Based on observed data, this study reveals a distinct seesaw feature of abnormally high and low PM2.5 concentrations in December 2015 and January 2016 over North China. The mechanism of the seesaw pattern was found to be linked to a super El Niño and the Arctic Oscillation (AO). During the mature phase of El Niño in December 2015, the weakened East Asian winter monsoon favors strong haze formation; however, the circulation pattern was reversed in the next month due to the phase change of the AO.
Man-Hae Kim, Ali H. Omar, Jason L. Tackett, Mark A. Vaughan, David M. Winker, Charles R. Trepte, Yongxiang Hu, Zhaoyan Liu, Lamont R. Poole, Michael C. Pitts, Jayanta Kar, and Brian E. Magill
Atmos. Meas. Tech., 11, 6107–6135, https://doi.org/10.5194/amt-11-6107-2018, https://doi.org/10.5194/amt-11-6107-2018, 2018
Short summary
Short summary
This paper discusses recent advances made in distinguishing among different aerosols species detected in the CALIPSO lidar measurements. A new classification algorithm now classifies four different aerosol types in the stratosphere, and the number of aerosol types recognized in the troposphere has increased from six to seven. The lidar ratios characterizing each type have been updated and the effects of these changes on CALIPSO retrievals of aerosol optical depth are examined in detail.
Jianping Guo, Huan Liu, Zhanqing Li, Daniel Rosenfeld, Mengjiao Jiang, Weixin Xu, Jonathan H. Jiang, Jing He, Dandan Chen, Min Min, and Panmao Zhai
Atmos. Chem. Phys., 18, 13329–13343, https://doi.org/10.5194/acp-18-13329-2018, https://doi.org/10.5194/acp-18-13329-2018, 2018
Short summary
Short summary
Objective analysis has been used to discriminate between the local- and synoptic-scale precipitations based on wind and pressure fields at 500 hPa. Aerosol is found to be linked with changes in the vertical structure of precipitation, depending on precipitation regimes. There has been some success in separating aerosol and meteorological influences on precipitation.
Cenlin He, Mark G. Flanner, Fei Chen, Michael Barlage, Kuo-Nan Liou, Shichang Kang, Jing Ming, and Yun Qian
Atmos. Chem. Phys., 18, 11507–11527, https://doi.org/10.5194/acp-18-11507-2018, https://doi.org/10.5194/acp-18-11507-2018, 2018
Short summary
Short summary
Snow albedo plays a key role in the Earth and climate system. It can be affected by impurities and snow properties. This study implements new parameterizations into a widely used snow model to account for effects of snow shape and black carbon–snow mixing state on snow albedo reduction in the Tibetan Plateau. This study points toward an imperative need for extensive measurements and improved model characterization of snow grain shape and aerosol–snow mixing state in Tibet and elsewhere.
Jia Xing, Dian Ding, Shuxiao Wang, Bin Zhao, Carey Jang, Wenjing Wu, Fenfen Zhang, Yun Zhu, and Jiming Hao
Atmos. Chem. Phys., 18, 7799–7814, https://doi.org/10.5194/acp-18-7799-2018, https://doi.org/10.5194/acp-18-7799-2018, 2018
Short summary
Short summary
NOx is the common precursor for both PM2.5 and O3 pollution, while the effectiveness of NOx controls for reducing PM2.5 and O3 are largely influenced by the ambient levels of NH3 and VOCs. This study developed a new method to quantify the nonlinear effectiveness of emission controls for reducing PM2.5 and O3. The new method not only substantially reduces the computational burden but also provides a series of quantitative indicators to quantify the nonlinear control effectiveness.
Pengfei Tian, Lei Zhang, Jianmin Ma, Kai Tang, Lili Xu, Yuan Wang, Xianjie Cao, Jiening Liang, Yuemeng Ji, Jonathan H. Jiang, Yuk L. Yung, and Renyi Zhang
Atmos. Chem. Phys., 18, 7815–7825, https://doi.org/10.5194/acp-18-7815-2018, https://doi.org/10.5194/acp-18-7815-2018, 2018
Short summary
Short summary
The mixing of dust and anthropogenic pollution over East Asia plays a significant yet poorly quantified role in aerosol radiative effects. We have found that radiative absorption of the East Asian aerosol mixtures are significantly enhanced. Our results show that the interaction between dust and anthropogenic pollution not only represents a viable aerosol formation pathway but also results in unfavorable dispersion conditions, both exacerbating the regional air pollution in East Asia.
Longtao Wu, Yu Gu, Jonathan H. Jiang, Hui Su, Nanpeng Yu, Chun Zhao, Yun Qian, Bin Zhao, Kuo-Nan Liou, and Yong-Sang Choi
Atmos. Chem. Phys., 18, 5529–5547, https://doi.org/10.5194/acp-18-5529-2018, https://doi.org/10.5194/acp-18-5529-2018, 2018
Xing Chang, Shuxiao Wang, Bin Zhao, Siyi Cai, and Jiming Hao
Atmos. Chem. Phys., 18, 4843–4858, https://doi.org/10.5194/acp-18-4843-2018, https://doi.org/10.5194/acp-18-4843-2018, 2018
Short summary
Short summary
The Beijing–Tianjin–Hebei region in China has been suffering from a severe particulate matter pollution, and the inter-city transport of the pollutant plays an important role. The current research quantitatively assesses the transport process. We identify three transport pathways. The southwest–northwest one happens in both winter and summer. The transport is stronger at 300–1000 m, or 1–2 days before a pollution peak. The result may guide the joint emission control along the transport pathway.
Simone Lolli, Fabio Madonna, Marco Rosoldi, James R. Campbell, Ellsworth J. Welton, Jasper R. Lewis, Yu Gu, and Gelsomina Pappalardo
Atmos. Meas. Tech., 11, 1639–1651, https://doi.org/10.5194/amt-11-1639-2018, https://doi.org/10.5194/amt-11-1639-2018, 2018
Short summary
Short summary
We evaluate the comparability of aerosol and cloud vertically resolved optical properties obtained with varying lidar profiling techniques and/or data processing methodologies. The discrepancies are assessed by evaluating climate-sensitive direct radiative effects, computed by radiative transfer code means. Results show important discrepancies up to 0.8 W m−2 due to lidar data smoothing in cirrus clouds and a 0.05 W m−2 difference between Raman and elastic lidar technique on a dust layer aloft.
Jayanta Kar, Mark A. Vaughan, Kam-Pui Lee, Jason L. Tackett, Melody A. Avery, Anne Garnier, Brian J. Getzewich, William H. Hunt, Damien Josset, Zhaoyan Liu, Patricia L. Lucker, Brian Magill, Ali H. Omar, Jacques Pelon, Raymond R. Rogers, Travis D. Toth, Charles R. Trepte, Jean-Paul Vernier, David M. Winker, and Stuart A. Young
Atmos. Meas. Tech., 11, 1459–1479, https://doi.org/10.5194/amt-11-1459-2018, https://doi.org/10.5194/amt-11-1459-2018, 2018
Short summary
Short summary
We present the motivation for and the implementation of the version 4.1 nighttime 532 nm parallel-channel calibration of the CALIOP lidar. The accuracy of calibration is significantly improved by raising the molecular normalization altitude from 30–34 km to 36–39 km to substantially reduce stratospheric aerosol contamination. The new calibration procedure eliminates biases in earlier versions and leads to an improved representation of stratospheric aerosols.
Bin Zhao, Kuo-Nan Liou, Yu Gu, Jonathan H. Jiang, Qinbin Li, Rong Fu, Lei Huang, Xiaohong Liu, Xiangjun Shi, Hui Su, and Cenlin He
Atmos. Chem. Phys., 18, 1065–1078, https://doi.org/10.5194/acp-18-1065-2018, https://doi.org/10.5194/acp-18-1065-2018, 2018
Short summary
Short summary
The interactions between aerosols and ice clouds represent one of the largest uncertainties among anthropogenic forcings on climate change. We find that the responses of ice crystal effective radius, a key parameter determining ice clouds' net radiative effect, to aerosol loadings are modulated by water vapor amount and vary from a significant negative correlation in moist conditions (consistent with the “Twomey effect” for liquid clouds) to a strong positive correlation in dry conditions.
Marcin L. Witek, Michael J. Garay, David J. Diner, Michael A. Bull, and Felix C. Seidel
Atmos. Meas. Tech., 11, 429–439, https://doi.org/10.5194/amt-11-429-2018, https://doi.org/10.5194/amt-11-429-2018, 2018
Short summary
Short summary
This study outlines a new methodology for assessing air pollution from space using observations from Multi-angle Imaging SpectroRadiometer (MISR). Both air pollution amounts – as well as the uncertainties associated with space observations – are simultaneously and consistently obtained from MISR measurements over oceans. The new products have superior quality to the previous versions and will benefit the air pollution community.
Jianlin Hu, Xun Li, Lin Huang, Qi Ying, Qiang Zhang, Bin Zhao, Shuxiao Wang, and Hongliang Zhang
Atmos. Chem. Phys., 17, 13103–13118, https://doi.org/10.5194/acp-17-13103-2017, https://doi.org/10.5194/acp-17-13103-2017, 2017
Short summary
Short summary
The model performance of CMAQ with WRF using four different emission inventories in China was validated and compared to obtain the best air pollutants prediction for health effect studies of severe air pollution. The differences in performance of chemical transport model were analyzed for different months and regions in the vast part of China and ensemble predictions were firstly obtained from different inventories for health analysis with minimized errors for pollutants including PM2.5 and O3.
Bin Zhao, Wenjing Wu, Shuxiao Wang, Jia Xing, Xing Chang, Kuo-Nan Liou, Jonathan H. Jiang, Yu Gu, Carey Jang, Joshua S. Fu, Yun Zhu, Jiandong Wang, Yan Lin, and Jiming Hao
Atmos. Chem. Phys., 17, 12031–12050, https://doi.org/10.5194/acp-17-12031-2017, https://doi.org/10.5194/acp-17-12031-2017, 2017
Short summary
Short summary
Using over 1000 chemical transport model simulations in the Beijing–Tianjin–Hebei region, we find that the emissions of primary inorganic PM2.5 make the largest contribution to PM2.5 concentrations and thus should be prioritized in PM2.5 control strategies. Among the precursors, PM2.5 concentrations are primarily sensitive to the emissions of NH3, NMVOC+IVOC, and POA, and the sensitivities increase substantially for NH3 and NHx with the increase in emission reduction ratio.
Dan Chen, Zhiquan Liu, Chris Davis, and Yu Gu
Atmos. Chem. Phys., 17, 7917–7939, https://doi.org/10.5194/acp-17-7917-2017, https://doi.org/10.5194/acp-17-7917-2017, 2017
Short summary
Short summary
Saharan dust influences Atlantic TC genesis, but the relationship and mechanisms are not fully understood. This study investigated the dust radiative effects on atmospheric thermodynamics and tropical cyclogenesis over the Atlantic Ocean using WRF-Chem coupled with an aerosol data assimilation system. Both statistics and a case study revealed that low-altitude (high-altitude) dust inhibits (favors) convection owing to changes in convective inhibition. Semi-direct effects were also noted.
Longtao Wu, Hui Su, Olga V. Kalashnikova, Jonathan H. Jiang, Chun Zhao, Michael J. Garay, James R. Campbell, and Nanpeng Yu
Atmos. Chem. Phys., 17, 7291–7309, https://doi.org/10.5194/acp-17-7291-2017, https://doi.org/10.5194/acp-17-7291-2017, 2017
Short summary
Short summary
The WRF-Chem simulation successfully captures aerosol variations in the cold season in the San Joaquin Valley (SJV) but has poor performance in the warm season. High-resolution model simulation can better resolve nonhomogeneous distribution of anthropogenic emissions in urban areas, resulting in better simulation of aerosols in the cold season in the SJV. Poor performance of the WRF-Chem model in the warm season in the SJV is mainly due to misrepresentation of dust emission and vertical mixing.
Simone Lolli, James R. Campbell, Jasper R. Lewis, Yu Gu, and Ellsworth J. Welton
Atmos. Chem. Phys., 17, 7025–7034, https://doi.org/10.5194/acp-17-7025-2017, https://doi.org/10.5194/acp-17-7025-2017, 2017
Short summary
Short summary
We compare net TOA radiative forcing between the simplified Corti–Peter (CP) and relatively complex Fu–Liou–Gu models for cirrus clouds observed by NASA MPLNET at Singapore in 2010–11 and Greenbelt, Maryland, in 2012. We find daytime forcing discrepancies up to 65 % between the two, which is greater than previous studies. In some cases, the sign of net TOA daytime forcing also differs. We attribute model differences to numerical simplifications in CP via regression that are not valid globally.
Qiao Ma, Siyi Cai, Shuxiao Wang, Bin Zhao, Randall V. Martin, Michael Brauer, Aaron Cohen, Jingkun Jiang, Wei Zhou, Jiming Hao, Joseph Frostad, Mohammad H. Forouzanfar, and Richard T. Burnett
Atmos. Chem. Phys., 17, 4477–4491, https://doi.org/10.5194/acp-17-4477-2017, https://doi.org/10.5194/acp-17-4477-2017, 2017
Short summary
Short summary
In order to quantitatively identify the contributions of coal combustion to airborne fine particles, we developed an emission inventory using up-to-date information and conducted simulations using an atmospheric model. Results show that coal combustion contributes 40 % of the airborne fine-particle concentration on national average in China. Among the subsectors of coal combustion, industrial coal burning is the dominant contributor, which should be prioritized when policies are applied.
Feng Xu, Oleg Dubovik, Peng-Wang Zhai, David J. Diner, Olga V. Kalashnikova, Felix C. Seidel, Pavel Litvinov, Andrii Bovchaliuk, Michael J. Garay, Gerard van Harten, and Anthony B. Davis
Atmos. Meas. Tech., 9, 2877–2907, https://doi.org/10.5194/amt-9-2877-2016, https://doi.org/10.5194/amt-9-2877-2016, 2016
Short summary
Short summary
We developed an algorithm for aerosol and water-leaving radiance retrieval in a simultaneous way.
Steven T. Massie, Julien Delanoë, Charles G. Bardeen, Jonathan H. Jiang, and Lei Huang
Atmos. Chem. Phys., 16, 6091–6105, https://doi.org/10.5194/acp-16-6091-2016, https://doi.org/10.5194/acp-16-6091-2016, 2016
Short summary
Short summary
Changes in cloud vertical structure (i.e. the shape of cloud ice water content (IWC) vertical structure) due to variations in aerosol, observed by three different satellite experiments (MODIS, OMI, and MLS) are calculated in the Tropics during 2007–2010. This topic is of interest because aerosol-cloud interactions are the largest source of uncertainty in climate models. Analysis of the effects of MODIS aerosol, OMI absorptive aerosol, and MLS CO (an absorptive aerosol proxy) upon deep convective
Bin Zhao, Kuo-Nan Liou, Yu Gu, Cenlin He, Wee-Liang Lee, Xing Chang, Qinbin Li, Shuxiao Wang, Hsien-Liang R. Tseng, Lai-Yung R. Leung, and Jiming Hao
Atmos. Chem. Phys., 16, 5841–5852, https://doi.org/10.5194/acp-16-5841-2016, https://doi.org/10.5194/acp-16-5841-2016, 2016
Short summary
Short summary
We examine the impact of buildings on surface solar fluxes in Beijing by accounting for their 3-D structures. We find that inclusion of buildings changes surface solar fluxes by within ±1 W m−2, ±1–10 W m−2, and up to ±100 W m−2 at grid resolutions of 4 km, 800 m, and 90 m, respectively. We can resolve pairs of positive-negative flux deviations on different sides of buildings at ≤ 800 m resolutions. We should treat building-effect on solar fluxes differently in models with different resolutions.
Zhiyuan Hu, Chun Zhao, Jianping Huang, L. Ruby Leung, Yun Qian, Hongbin Yu, Lei Huang, and Olga V. Kalashnikova
Geosci. Model Dev., 9, 1725–1746, https://doi.org/10.5194/gmd-9-1725-2016, https://doi.org/10.5194/gmd-9-1725-2016, 2016
Short summary
Short summary
This study conducts the simulation of WRF-Chem with the quasi-global configuration for 2010–2014, and evaluates the simulation with multiple observation datasets for the first time. This study demonstrates that the WRF-Chem quasi-global simulation can be used for investigating trans-Pacific transport of aerosols and providing reasonable inflow chemical boundaries for the western USA to further understand the impact of transported pollutants on the regional air quality and climate.
Lei Huang, Jonathan H. Jiang, Lee T. Murray, Megan R. Damon, Hui Su, and Nathaniel J. Livesey
Atmos. Chem. Phys., 16, 5641–5663, https://doi.org/10.5194/acp-16-5641-2016, https://doi.org/10.5194/acp-16-5641-2016, 2016
Short summary
Short summary
This study evaluates the distribution and variation of carbon monoxide (CO) in the upper troposphere and lower stratosphere (UTLS) during 2004–2012 on global and regional scales as simulated by two chemical transport models (GMI and GEOS-Chem), using the latest version (V4) of Aura Microwave Limb Sounder (MLS) observations. The impacts of surface emissions and convection on CO concentrations in the UTLS over different regions are investigated, using both model simulations and MLS observations.
L. Wu, H. Su, R. G. Fovell, T. J. Dunkerton, Z. Wang, and B. H. Kahn
Atmos. Chem. Phys., 15, 14041–14053, https://doi.org/10.5194/acp-15-14041-2015, https://doi.org/10.5194/acp-15-14041-2015, 2015
C. He, K.-N. Liou, Y. Takano, R. Zhang, M. Levy Zamora, P. Yang, Q. Li, and L. R. Leung
Atmos. Chem. Phys., 15, 11967–11980, https://doi.org/10.5194/acp-15-11967-2015, https://doi.org/10.5194/acp-15-11967-2015, 2015
W.-L. Lee, Y. Gu, K. N. Liou, L. R. Leung, and H.-H. Hsu
Atmos. Chem. Phys., 15, 5405–5413, https://doi.org/10.5194/acp-15-5405-2015, https://doi.org/10.5194/acp-15-5405-2015, 2015
Short summary
Short summary
This paper investigates 3-D mountain effects on solar flux distributions and their impact on surface hydrology over the western United States, specifically the Rocky Mountains and the Sierra Nevada, using the global CCSM4 (CAM4/CLM4) with a 0.23°×0.31° resolution for simulations over 6 years. We show that deviations in the net surface fluxes are not only affected by 3-D mountains but also influenced by feedbacks of cloud and snow in association with the long-term simulations.
P. Vergados, A. J. Mannucci, C. O. Ao, J. H. Jiang, and H. Su
Atmos. Meas. Tech., 8, 1789–1797, https://doi.org/10.5194/amt-8-1789-2015, https://doi.org/10.5194/amt-8-1789-2015, 2015
Z. Liu, D. Winker, A. Omar, M. Vaughan, J. Kar, C. Trepte, Y. Hu, and G. Schuster
Atmos. Chem. Phys., 15, 1265–1288, https://doi.org/10.5194/acp-15-1265-2015, https://doi.org/10.5194/acp-15-1265-2015, 2015
D. Chen, Z. Liu, C. S. Schwartz, H.-C. Lin, J. D. Cetola, Y. Gu, and L. Xue
Geosci. Model Dev., 7, 2709–2715, https://doi.org/10.5194/gmd-7-2709-2014, https://doi.org/10.5194/gmd-7-2709-2014, 2014
L. Huang, R. Fu, and J. H. Jiang
Atmos. Chem. Phys., 14, 4087–4099, https://doi.org/10.5194/acp-14-4087-2014, https://doi.org/10.5194/acp-14-4087-2014, 2014
B. H. Kahn, F. W. Irion, V. T. Dang, E. M. Manning, S. L. Nasiri, C. M. Naud, J. M. Blaisdell, M. M. Schreier, Q. Yue, K. W. Bowman, E. J. Fetzer, G. C. Hulley, K. N. Liou, D. Lubin, S. C. Ou, J. Susskind, Y. Takano, B. Tian, and J. R. Worden
Atmos. Chem. Phys., 14, 399–426, https://doi.org/10.5194/acp-14-399-2014, https://doi.org/10.5194/acp-14-399-2014, 2014
K. N. Liou, Y. Gu, L. R. Leung, W. L. Lee, and R. G. Fovell
Atmos. Chem. Phys., 13, 11709–11721, https://doi.org/10.5194/acp-13-11709-2013, https://doi.org/10.5194/acp-13-11709-2013, 2013
L. Zhang, Q. B. Li, Y. Gu, K. N. Liou, and B. Meland
Atmos. Chem. Phys., 13, 7097–7114, https://doi.org/10.5194/acp-13-7097-2013, https://doi.org/10.5194/acp-13-7097-2013, 2013
S. P. Burton, R. A. Ferrare, M. A. Vaughan, A. H. Omar, R. R. Rogers, C. A. Hostetler, and J. W. Hair
Atmos. Meas. Tech., 6, 1397–1412, https://doi.org/10.5194/amt-6-1397-2013, https://doi.org/10.5194/amt-6-1397-2013, 2013
J. Wang, S. Park, J. Zeng, C. Ge, K. Yang, S. Carn, N. Krotkov, and A. H. Omar
Atmos. Chem. Phys., 13, 1895–1912, https://doi.org/10.5194/acp-13-1895-2013, https://doi.org/10.5194/acp-13-1895-2013, 2013
N. J. Livesey, J. A. Logan, M. L. Santee, J. W. Waters, R. M. Doherty, W. G. Read, L. Froidevaux, and J. H. Jiang
Atmos. Chem. Phys., 13, 579–598, https://doi.org/10.5194/acp-13-579-2013, https://doi.org/10.5194/acp-13-579-2013, 2013
Related subject area
Subject: Aerosols | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Quantifying the effects of the microphysical properties of black carbon on the determination of brown carbon using measurements at multiple wavelengths
An emerging aerosol climatology via remote sensing over Metro Manila, the Philippines
Ozone Monitoring Instrument (OMI) UV aerosol index data analysis over the Arctic region for future data assimilation and climate forcing applications
Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system
Comparisons between the distributions of dust and combustion aerosols in MERRA-2, FLEXPART, and CALIPSO and implications for deposition freezing over wintertime Siberia
Atmospheric oxidation mechanism and kinetics of indole initiated by ●OH and ●Cl: a computational study
Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis
Aerosol vertical distribution and interactions with land/sea breezes over the eastern coast of the Red Sea from lidar data and high-resolution WRF-Chem simulations
Improved inversion of aerosol components in the atmospheric column from remote sensing data
Retrieval of aerosol components directly from satellite and ground-based measurements
Towards a satellite formaldehyde – in situ hybrid estimate for organic aerosol abundance
Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm
Estimating the open biomass burning emissions in central and eastern China from 2003 to 2015 based on satellite observation
Chemical composition of ambient PM2. 5 over China and relationship to precursor emissions during 2005–2012
Synergistic use of Lagrangian dispersion and radiative transfer modelling with satellite and surface remote sensing measurements for the investigation of volcanic plumes: the Mount Etna eruption of 25–27 October 2013
Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models
A global aerosol classification algorithm incorporating multiple satellite data sets of aerosol and trace gas abundances
Simulation of GOES-R ABI aerosol radiances using WRF-CMAQ: a case study approach
Absorption properties of Mediterranean aerosols obtained from multi-year ground-based remote sensing observations
The global 3-D distribution of tropospheric aerosols as characterized by CALIOP
A unified approach to infrared aerosol remote sensing and type specification
Interpretation of FRESCO cloud retrievals in case of absorbing aerosol events
Global and regional trends of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010
Potential for a biogenic influence on cloud microphysics over the ocean: a correlation study with satellite-derived data
Mixing of dust and NH3 observed globally over anthropogenic dust sources
The composition and variability of atmospheric aerosol over Southeast Asia during 2008
NASA A-Train and Terra observations of the 2010 Russian wildfires
The Eyjafjallajökull eruption in April 2010 – detection of volcanic plume using in-situ measurements, ozone sondes and lidar-ceilometer profiles
Saharan dust infrared optical depth and altitude retrieved from AIRS: a focus over North Atlantic – comparison to MODIS and CALIPSO
Absorption Angstrom Exponent in AERONET and related data as an indicator of aerosol composition
Jie Luo, Dan Li, Yuanyuan Wang, Dandan Sun, Weizhen Hou, Jinghe Ren, Hailing Wu, Peng Zhou, and Jibing Qiu
Atmos. Chem. Phys., 24, 427–448, https://doi.org/10.5194/acp-24-427-2024, https://doi.org/10.5194/acp-24-427-2024, 2024
Short summary
Short summary
Remote sensing of brown carbon is very important for climate research, and current optical methods rely mainly on spectral properties for inversion. However, the influence of the microscopic properties of black carbon has rarely been considered by previous studies. This paper shows how the remote sensing of brown carbon is affected by the microphysical properties of black carbon and highlights the adaptability of remote sensing methods.
Genevieve Rose Lorenzo, Avelino F. Arellano, Maria Obiminda Cambaliza, Christopher Castro, Melliza Templonuevo Cruz, Larry Di Girolamo, Glenn Franco Gacal, Miguel Ricardo A. Hilario, Nofel Lagrosas, Hans Jarett Ong, James Bernard Simpas, Sherdon Niño Uy, and Armin Sorooshian
Atmos. Chem. Phys., 23, 10579–10608, https://doi.org/10.5194/acp-23-10579-2023, https://doi.org/10.5194/acp-23-10579-2023, 2023
Short summary
Short summary
Aerosol and weather interactions in Southeast Asia are complex and understudied. An emerging aerosol climatology was established in Metro Manila, the Philippines, from aerosol particle physicochemical properties and meteorology, revealing five sources. Even with local traffic, transported smoke from biomass burning, aged dust, and cloud processing, background marine particles dominate and correspond to lower aerosol optical depth in Metro Manila compared to other Southeast Asian megacities.
Blake T. Sorenson, Jianglong Zhang, Jeffrey S. Reid, Peng Xian, and Shawn L. Jaker
Atmos. Chem. Phys., 23, 7161–7175, https://doi.org/10.5194/acp-23-7161-2023, https://doi.org/10.5194/acp-23-7161-2023, 2023
Short summary
Short summary
We quality-control Ozone Monitoring Instrument (OMI) aerosol index data by identifying row anomalies and removing systematic biases, using the data to quantify trends in UV-absorbing aerosols over the Arctic region. We found decreasing trends in UV-absorbing aerosols in spring months and increasing trends in summer months. For the first time, observational evidence of increasing trends in UV-absorbing aerosols over the North Pole is found using the OMI data, especially over the last half decade.
Sebastien Garrigues, Samuel Remy, Julien Chimot, Melanie Ades, Antje Inness, Johannes Flemming, Zak Kipling, Istvan Laszlo, Angela Benedetti, Roberto Ribas, Soheila Jafariserajehlou, Bertrand Fougnie, Shobha Kondragunta, Richard Engelen, Vincent-Henri Peuch, Mark Parrington, Nicolas Bousserez, Margarita Vazquez Navarro, and Anna Agusti-Panareda
Atmos. Chem. Phys., 22, 14657–14692, https://doi.org/10.5194/acp-22-14657-2022, https://doi.org/10.5194/acp-22-14657-2022, 2022
Short summary
Short summary
The Copernicus Atmosphere Monitoring Service (CAMS) provides global monitoring of aerosols using the ECMWF forecast model constrained by the assimilation of satellite aerosol optical depth (AOD). This work aims at evaluating two new satellite AODs to enhance the CAMS aerosol global forecast. It highlights the spatial and temporal differences between the satellite AOD products at the model spatial resolution, which is essential information to design multi-satellite AOD data assimilation schemes.
Lauren M. Zamora, Ralph A. Kahn, Nikolaos Evangeliou, Christine D. Groot Zwaaftink, and Klaus B. Huebert
Atmos. Chem. Phys., 22, 12269–12285, https://doi.org/10.5194/acp-22-12269-2022, https://doi.org/10.5194/acp-22-12269-2022, 2022
Short summary
Short summary
Arctic dust, smoke, and pollution particles can affect clouds and Arctic warming. The distributions of these particles were estimated in three different satellite, reanalysis, and model products. These products showed good agreement overall but indicate that it is important to include local dust in models. We hypothesize that mineral dust effects on ice processes in the Arctic atmosphere might be highest over Siberia, where it is cold, moist, and subject to relatively high dust levels.
Jingwen Xue, Fangfang Ma, Jonas Elm, Jingwen Chen, and Hong-Bin Xie
Atmos. Chem. Phys., 22, 11543–11555, https://doi.org/10.5194/acp-22-11543-2022, https://doi.org/10.5194/acp-22-11543-2022, 2022
Short summary
Short summary
·OH/·Cl initiated indole reactions mainly form organonitrates, alkoxy radicals and hydroperoxide products, showing a varying mechanism from previously reported amines reactions. This study reveals carcinogenic nitrosamines cannot be formed in indole oxidation reactions despite radicals formed from -NH- H abstraction. The results are important to understand the atmospheric impact of indole oxidation and extend current understanding on the atmospheric chemistry of organic nitrogen compounds.
Ruiyuan Li, Miaoqing Xu, Manchun Li, Ziyue Chen, Na Zhao, Bingbo Gao, and Qi Yao
Atmos. Chem. Phys., 21, 15631–15646, https://doi.org/10.5194/acp-21-15631-2021, https://doi.org/10.5194/acp-21-15631-2021, 2021
Short summary
Short summary
We employed ground observations of ozone and satellite products of HCHO and NO2 to investigate spatiotemporal variations of ozone formation regimes across China. Two different models were employed for determining the crucial thresholds that separate three ozone formation regimes, including NOx-limited, VOC-limited, and transitional regimes. The close output from two different models provides a reliable reference for better understanding ozone formation regimes.
Sagar P. Parajuli, Georgiy L. Stenchikov, Alexander Ukhov, Illia Shevchenko, Oleg Dubovik, and Anton Lopatin
Atmos. Chem. Phys., 20, 16089–16116, https://doi.org/10.5194/acp-20-16089-2020, https://doi.org/10.5194/acp-20-16089-2020, 2020
Short summary
Short summary
Both natural (dust, sea salt) and anthropogenic (sulfate, organic and black carbon) aerosols are common over the Red Sea coastal plains. King Abdullah University of Science and Technology (KAUST), located on the eastern coast of the Red Sea, hosts the only operating lidar system in the Arabian Peninsula, which measures atmospheric aerosols day and night. We use these lidar data and high-resolution WRF-Chem model simulations to study the potential effect of dust aerosols on Red Sea environment.
Ying Zhang, Zhengqiang Li, Yu Chen, Gerrit de Leeuw, Chi Zhang, Yisong Xie, and Kaitao Li
Atmos. Chem. Phys., 20, 12795–12811, https://doi.org/10.5194/acp-20-12795-2020, https://doi.org/10.5194/acp-20-12795-2020, 2020
Short summary
Short summary
Observation of atmospheric aerosol components plays an important role in reducing uncertainty in climate assessment. In this study, an improved remote sensing method which can better distinguish scattering components is developed, and the aerosol components in the atmospheric column over China are retrieved based on the Sun–sky radiometer Observation NETwork (SONET). The component distribution shows there could be a sea salt component in northwest China from a paleomarine source in desert land.
Lei Li, Oleg Dubovik, Yevgeny Derimian, Gregory L. Schuster, Tatyana Lapyonok, Pavel Litvinov, Fabrice Ducos, David Fuertes, Cheng Chen, Zhengqiang Li, Anton Lopatin, Benjamin Torres, and Huizheng Che
Atmos. Chem. Phys., 19, 13409–13443, https://doi.org/10.5194/acp-19-13409-2019, https://doi.org/10.5194/acp-19-13409-2019, 2019
Short summary
Short summary
A novel methodology to monitor atmospheric aerosol components using remote sensing is presented. The concept is realized within the GRASP (Generalized Retrieval of Aerosol and Surface Properties) project. Application to POLDER/PARASOL and AERONET observations yielded the spatial and temporal variability of absorbing and non-absorbing insoluble and soluble aerosol species in the fine and coarse size fractions. This presents the global-scale aerosol component derived from satellite measurements.
Jin Liao, Thomas F. Hanisco, Glenn M. Wolfe, Jason St. Clair, Jose L. Jimenez, Pedro Campuzano-Jost, Benjamin A. Nault, Alan Fried, Eloise A. Marais, Gonzalo Gonzalez Abad, Kelly Chance, Hiren T. Jethva, Thomas B. Ryerson, Carsten Warneke, and Armin Wisthaler
Atmos. Chem. Phys., 19, 2765–2785, https://doi.org/10.5194/acp-19-2765-2019, https://doi.org/10.5194/acp-19-2765-2019, 2019
Short summary
Short summary
Organic aerosol (OA) intimately links natural and anthropogenic emissions with air quality and climate. Direct OA measurements from space are currently not possible. This paper describes a new method to estimate OA by combining satellite HCHO and in situ OA and HCHO. The OA estimate is validated with the ground network. This new method has a potential for mapping observation-based global OA estimate.
Cheng Chen, Oleg Dubovik, Daven K. Henze, Tatyana Lapyonak, Mian Chin, Fabrice Ducos, Pavel Litvinov, Xin Huang, and Lei Li
Atmos. Chem. Phys., 18, 12551–12580, https://doi.org/10.5194/acp-18-12551-2018, https://doi.org/10.5194/acp-18-12551-2018, 2018
Short summary
Short summary
This paper introduces a method to use satellite-observed spectral AOD and AAOD to derive three types of aerosol emission sources simultaneously based on inverse modelling at a high spatial and temporal resolution. This study shows it is possible to estimate aerosol emissions and improve the atmospheric aerosol simulation using detailed aerosol optical and microphysical information from satellite observations.
Jian Wu, Shaofei Kong, Fangqi Wu, Yi Cheng, Shurui Zheng, Qin Yan, Huang Zheng, Guowei Yang, Mingming Zheng, Dantong Liu, Delong Zhao, and Shihua Qi
Atmos. Chem. Phys., 18, 11623–11646, https://doi.org/10.5194/acp-18-11623-2018, https://doi.org/10.5194/acp-18-11623-2018, 2018
Short summary
Short summary
In order to support regional modeling impact on air quality and policy making on controlling open biomass burning emissions, accurate open biomass burning emissions were estimated from 2003 to 2015 with high spatial and temporal resolution. Multiple satellite data, updated biomass data and survey results were all used to improve the accuracy. In addition, management policies and all influencing factors in rural areas for open biomass burning emissions were considered.
Guannan Geng, Qiang Zhang, Dan Tong, Meng Li, Yixuan Zheng, Siwen Wang, and Kebin He
Atmos. Chem. Phys., 17, 9187–9203, https://doi.org/10.5194/acp-17-9187-2017, https://doi.org/10.5194/acp-17-9187-2017, 2017
Short summary
Short summary
We presented the characteristics of PM2.5 chemical composition over China during 2005–2012 by synthesis of in situ measurement data and satellite-based estimates. We also investigated the driving forces behind the changes by examining the changes in precursor emissions. We found that the decrease in sulfate is partly offset by the increase in nitrate. The results indicate that the synchronized abatement of emissions for multipollutants is necessary for reducing ambient PM2.5 over China.
Pasquale Sellitto, Alcide di Sarra, Stefano Corradini, Marie Boichu, Hervé Herbin, Philippe Dubuisson, Geneviève Sèze, Daniela Meloni, Francesco Monteleone, Luca Merucci, Justin Rusalem, Giuseppe Salerno, Pierre Briole, and Bernard Legras
Atmos. Chem. Phys., 16, 6841–6861, https://doi.org/10.5194/acp-16-6841-2016, https://doi.org/10.5194/acp-16-6841-2016, 2016
Short summary
Short summary
We combine plume dispersion and radiative transfer modelling, and satellite and surface remote sensing observations to study the regional influence of a relatively weak volcanic eruption from Mount Etna (25–27 October 2013) on the optical/micro-physical properties of Mediterranean aerosols. Our results indicate that even relatively weak volcanic eruptions may produce an observable effect on the aerosol properties at the regional scale, with a significant impact on the regional radiative balance.
Huikyo Lee, Olga V. Kalashnikova, Kentaroh Suzuki, Amy Braverman, Michael J. Garay, and Ralph A. Kahn
Atmos. Chem. Phys., 16, 6627–6640, https://doi.org/10.5194/acp-16-6627-2016, https://doi.org/10.5194/acp-16-6627-2016, 2016
Short summary
Short summary
The Multi-angle Imaging SpectroRadiometer (MISR) on NASA's TERRA satellite has provided a global distribution of aerosol amount and type information for each month over 16+ years since March 2000. This study analyzes, for the first time, characteristics of observed and simulated distributions of aerosols for three broad classes of aerosols: spherical nonabsorbing, spherical absorbing, and nonspherical – near or downwind of their major source regions.
M. J. M. Penning de Vries, S. Beirle, C. Hörmann, J. W. Kaiser, P. Stammes, L. G. Tilstra, O. N. E. Tuinder, and T. Wagner
Atmos. Chem. Phys., 15, 10597–10618, https://doi.org/10.5194/acp-15-10597-2015, https://doi.org/10.5194/acp-15-10597-2015, 2015
S. A. Christopher
Atmos. Chem. Phys., 14, 3183–3194, https://doi.org/10.5194/acp-14-3183-2014, https://doi.org/10.5194/acp-14-3183-2014, 2014
M. Mallet, O. Dubovik, P. Nabat, F. Dulac, R. Kahn, J. Sciare, D. Paronis, and J. F. Léon
Atmos. Chem. Phys., 13, 9195–9210, https://doi.org/10.5194/acp-13-9195-2013, https://doi.org/10.5194/acp-13-9195-2013, 2013
D. M. Winker, J. L. Tackett, B. J. Getzewich, Z. Liu, M. A. Vaughan, and R. R. Rogers
Atmos. Chem. Phys., 13, 3345–3361, https://doi.org/10.5194/acp-13-3345-2013, https://doi.org/10.5194/acp-13-3345-2013, 2013
L. Clarisse, P.-F. Coheur, F. Prata, J. Hadji-Lazaro, D. Hurtmans, and C. Clerbaux
Atmos. Chem. Phys., 13, 2195–2221, https://doi.org/10.5194/acp-13-2195-2013, https://doi.org/10.5194/acp-13-2195-2013, 2013
P. Wang, O. N. E. Tuinder, L. G. Tilstra, M. de Graaf, and P. Stammes
Atmos. Chem. Phys., 12, 9057–9077, https://doi.org/10.5194/acp-12-9057-2012, https://doi.org/10.5194/acp-12-9057-2012, 2012
N. C. Hsu, R. Gautam, A. M. Sayer, C. Bettenhausen, C. Li, M. J. Jeong, S.-C. Tsay, and B. N. Holben
Atmos. Chem. Phys., 12, 8037–8053, https://doi.org/10.5194/acp-12-8037-2012, https://doi.org/10.5194/acp-12-8037-2012, 2012
A. Lana, R. Simó, S. M. Vallina, and J. Dachs
Atmos. Chem. Phys., 12, 7977–7993, https://doi.org/10.5194/acp-12-7977-2012, https://doi.org/10.5194/acp-12-7977-2012, 2012
P. Ginoux, L. Clarisse, C. Clerbaux, P.-F. Coheur, O. Dubovik, N. C. Hsu, and M. Van Damme
Atmos. Chem. Phys., 12, 7351–7363, https://doi.org/10.5194/acp-12-7351-2012, https://doi.org/10.5194/acp-12-7351-2012, 2012
W. Trivitayanurak, P. I. Palmer, M. P. Barkley, N. H. Robinson, H. Coe, and D. E. Oram
Atmos. Chem. Phys., 12, 1083–1100, https://doi.org/10.5194/acp-12-1083-2012, https://doi.org/10.5194/acp-12-1083-2012, 2012
J. C. Witte, A. R. Douglass, A. da Silva, O. Torres, R. Levy, and B. N. Duncan
Atmos. Chem. Phys., 11, 9287–9301, https://doi.org/10.5194/acp-11-9287-2011, https://doi.org/10.5194/acp-11-9287-2011, 2011
H. Flentje, H. Claude, T. Elste, S. Gilge, U. Köhler, C. Plass-Dülmer, W. Steinbrecht, W. Thomas, A. Werner, and W. Fricke
Atmos. Chem. Phys., 10, 10085–10092, https://doi.org/10.5194/acp-10-10085-2010, https://doi.org/10.5194/acp-10-10085-2010, 2010
S. Peyridieu, A. Chédin, D. Tanré, V. Capelle, C. Pierangelo, N. Lamquin, and R. Armante
Atmos. Chem. Phys., 10, 1953–1967, https://doi.org/10.5194/acp-10-1953-2010, https://doi.org/10.5194/acp-10-1953-2010, 2010
P. B. Russell, R. W. Bergstrom, Y. Shinozuka, A. D. Clarke, P. F. DeCarlo, J. L. Jimenez, J. M. Livingston, J. Redemann, O. Dubovik, and A. Strawa
Atmos. Chem. Phys., 10, 1155–1169, https://doi.org/10.5194/acp-10-1155-2010, https://doi.org/10.5194/acp-10-1155-2010, 2010
Cited articles
Albrecht, B. A.: Aerosols, Cloud Microphysics, and Fractional Cloudiness,
Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989.
Anderson, T. L., Charlson, R. J., Winker, D. M., Ogren, J. A., and Holmen,
K.: Mesoscale variations of tropospheric aerosols, J. Atmos. Sci., 60,
119–136, https://doi.org/10.1175/1520-0469(2003)060<0119:Mvota>2.0.Co;2, 2003.
Bull, M., Matthews, J., McDonald, D., Menzies, A., Moroney, C., Mueller, K.,
Paradise, S., and Smyth, M.: MISR Data Products Specifications Revision S,
available at:
https://eosweb.larc.nasa.gov/sites/default/files/project/misr/DPS_v50_RevS.pdf
(last access: 30 September 2017), Jet Propulsion Laboratory, California
Institute of Technology, 2011.
Cheng, Z., Wang, S. X., Jiang, J. K., Fu, Q. Y., Chen, C. H., Xu, B. Y., Yu,
J. Q., Fu, X., and Hao, J. M.: Long-term trend of haze pollution and impact
of particulate matter in the Yangtze River Delta, China, Environ. Pollut.,
182, 101–110, https://doi.org/10.1016/j.envpol.2013.06.043, 2013.
Chin, M., Diehl, T., Tan, Q., Prospero, J. M., Kahn, R. A., Remer, L. A., Yu,
H., Sayer, A. M., Bian, H., Geogdzhayev, I. V., Holben, B. N., Howell, S. G.,
Huebert, B. J., Hsu, N. C., Kim, D., Kucsera, T. L., Levy, R. C., Mishchenko,
M. I., Pan, X., Quinn, P. K., Schuster, G. L., Streets, D. G., Strode, S. A.,
Torres, O., and Zhao, X.-P.: Multi-decadal aerosol variations from 1980 to
2009: a perspective from observations and a global model, Atmos. Chem. Phys.,
14, 3657–3690, https://doi.org/10.5194/acp-14-3657-2014, 2014.
China Meteorological Administration: Sand-dust weather almanac 2010, China
Meteorological Press, Beijing, 2012.
Colarco, P. R., Kahn, R. A., Remer, L. A., and Levy, R. C.: Impact of
satellite viewing-swath width on global and regional aerosol optical
thickness statistics and trends, Atmos. Meas. Tech., 7, 2313–2335,
https://doi.org/10.5194/amt-7-2313-2014, 2014.
de Meij, A., Pozzer, A., and Lelieveld, J.: Trend analysis in aerosol optical
depths and pollutant emission estimates between 2000 and 2009, Atmos.
Environ., 51, 75–85, https://doi.org/10.1016/j.atmosenv.2012.01.059, 2012.
de Reus, M., Strom, J., Curtius, J., Pirjola, L., Vignati, E., Arnold, F.,
Hansson, H. C., Kulmala, M., Lelieveld, J., and Raes, F.: Aerosol production
and growth in the upper free troposphere, J. Geophys. Res.-Atmos., 105,
24751–24762, https://doi.org/10.1029/2000jd900382, 2000.
Diner, D. J., Beckert, J. C., Reilly, T. H., Bruegge, C. J., Conel, J. E.,
Kahn, R. A., Martonchik, J. V., Ackerman, T. P., Davies, R., Gerstl, S. A.
W., Gordon, H. R., Muller, J. P., Myneni, R. B., Sellers, P. J., Pinty, B.,
and Verstraete, M. M.: Multi-angle Imaging SpectroRadiometer (MISR) –
Instrument description and experiment overview, IEEE. T. Geosci. Remote., 36,
1072–1087, https://doi.org/10.1109/36.700992, 1998.
Dubovik, O., Holben, B., Eck, T. F., Smirnov, A., Kaufman, Y. J., King, M.
D., Tanre, D., and Slutsker, I.: Variability of absorption and optical
properties of key aerosol types observed in worldwide locations, J. Atmos.
Sci., 59, 590–608, https://doi.org/10.1175/1520-0469(2002)059<0590:voaaop>2.0.co;2,
2002.
Eck, T. F., Holben, B. N., Reid, J. S., Dubovik, O., Smirnov, A., O'Neill, N.
T., Slutsker, I., and Kinne, S.: Wavelength dependence of the optical depth
of biomass burning, urban, and desert dust aerosols, J. Geophys. Res.-Atmos.,
104, 31333–31349, https://doi.org/10.1029/1999jd900923, 1999.
Fan, X. H., Xia, X. A., and Chen, H. B.: Can MODIS Detect Trends in Aerosol
Optical Depth Over Land?, Adv. Atmos. Sci., 34, 1–11, 2018.
Garrett, T. J. and Zhao, C. F.: Increased Arctic cloud longwave emissivity
associated with pollution from mid-latitudes, Nature, 440, 787–789,
https://doi.org/10.1038/nature04636, 2006.
Garrett, T. J., Zhao, C., Dong, X., Mace, G. G., and Hobbs, P. V.: Effects of
varying aerosol regimes on low-level Arctic stratus, Geophys. Res. Lett., 31,
L17105, https://doi.org/10.1029/2004gl019928, 2004.
Garrett, T. J., Zhao, C., and Novelli, P. C.: Assessing the relative
contributions of transport efficiency and scavenging to seasonal variability
in Arctic aerosol, Tellus B, 62, 190–196,
https://doi.org/10.1111/j.1600-0889.2010.00453.x, 2010.
Gu, Y., Liou, K. N., Xue, Y., Mechoso, C. R., Li, W., and Luo, Y.: Climatic
effects of different aerosol types in China simulated by the UCLA general
circulation model, J. Geophys. Res.-Atmos., 111, D15201,
https://doi.org/10.1029/2005jd006312, 2006.
Guan, H., Schmid, B., Bucholtz, A., and Bergstrom, R.: Sensitivity of
shortwave radiative flux density, forcing, and heating rate to the aerosol
vertical profile, J. Geophys. Res.-Atmos., 115, D06209,
https://doi.org/10.1029/2009jd012907, 2010.
Guo, J., Miao, Y., Zhang, Y., Liu, H., Li, Z., Zhang, W., He, J., Lou, M.,
Yan, Y., Bian, L., and Zhai, P.: The climatology of planetary boundary layer
height in China derived from radiosonde and reanalysis data, Atmos. Chem.
Phys., 16, 13309–13319, https://doi.org/10.5194/acp-16-13309-2016, 2016.
Heald, C. L., Jacob, D. J., Park, R. J., Russell, L. M., Huebert, B. J.,
Seinfeld, J. H., Liao, H., and Weber, R. J.: A large organic aerosol source
in the free troposphere missing from current models, Geophys. Res. Lett., 32,
L18809, DOI 10.1029/2005gl023831, 2005.
Holben, B. N., Tanre, D., Smirnov, A., Eck, T. F., Slutsker, I., Abuhassan,
N., Newcomb, W. W., Schafer, J. S., Chatenet, B., Lavenu, F., Kaufman, Y. J.,
Castle, J. V., Setzer, A., Markham, B., Clark, D., Frouin, R., Halthore, R.,
Karneli, A., O'Neill, N. T., Pietras, C., Pinker, R. T., Voss, K., and
Zibordi, G.: An emerging ground-based aerosol climatology: Aerosol optical
depth from AERONET, J. Geophys. Res.-Atmos., 106, 12067–12097,
https://doi.org/10.1029/2001jd900014, 2001.
Huang, L., Jiang, J. H., Tackett, J. L., Su, H., and Fu, R.: Seasonal and
diurnal variations of aerosol extinction profile and type distribution from
CALIPSO 5-year observations, J. Geophys. Res.-Atmos., 118, 4572–4596,
https://doi.org/10.1002/jgrd.50407, 2013.
IPCC: Climate Change 2013: The Physical Science Basis. Contribution of
Working Group I to the Fifth Assessment Report of the Intergovernmental Panel
on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K.,
Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and
Midgley, P. M., Cambridge University Press, Cambridge, UK and New York, NY,
USA, 1535 pp., 2013.
Johnson, B. T., Shine, K. P., and Forster, P. M.: The semi-direct aerosol
effect: Impact of absorbing aerosols on marine stratocumulus, Q. J. Roy.
Meteor. Soc., 130, 1407–1422, https://doi.org/10.1256/qj.03.61, 2004.
Johnson, B. T., Heese, B., McFarlane, S. A., Chazette, P., Jones, A., and
Bellouin, N.: Vertical distribution and radiative effects of mineral dust and
biomass burning aerosol over West Africa during DABEX, J. Geophys.
Res.-Atmos., 113, D00C12, https://doi.org/10.1029/2008jd009848, 2008.
Kahn, R., Banerjee, P., and McDonald, D.: Sensitivity of multiangle imaging
to natural mixtures of aerosols over ocean, J. Geophys. Res.-Atmos., 106,
18219–18238, https://doi.org/10.1029/2000jd900497, 2001.
Kahn, R. A. and Gaitley, B. J.: An analysis of global aerosol type as
retrieved by MISR, J. Geophys. Res.-Atmos., 120, 4248–4281,
https://doi.org/10.1002/2015jd023322, 2015.
Kahn, R. A., Gaitley, B. J., Martonchik, J. V., Diner, D. J., Crean, K. A.,
and Holben, B.: Multiangle Imaging Spectroradiometer (MISR) global aerosol
optical depth validation based on 2 years of coincident Aerosol Robotic
Network (AERONET) observations, J. Geophys. Res.-Atmos., 110, D10S04,
https://doi.org/10.1029/2004jd004706, 2005.
Kahn, R. A., Nelson, D. L., Garay, M. J., Levy, R. C., Bull, M. A., Diner, D.
J., Martonchik, J. V., Paradise, S. R., Hansen, E. G., and Remer, L. A.: MISR
Aerosol Product Attributes and Statistical Comparisons With MODIS, IEEE. T.
Geosci. Remote., 47, 4095–4114, https://doi.org/10.1109/tgrs.2009.2023115, 2009.
Kahn, R. A., Gaitley, B. J., Garay, M. J., Diner, D. J., Eck, T. F., Smirnov,
A., and Holben, B. N.: Multiangle Imaging SpectroRadiometer global aerosol
product assessment by comparison with the Aerosol Robotic Network, J.
Geophys. Res.-Atmos., 115, D23209, https://doi.org/10.1029/2010jd014601, 2010.
Kang, N., Kumar, K. R., Hu, K., Yu, X. N., and Yin, Y.: Long-term
(2002–2014) evolution and trend in Collection 5.1 Level-2 aerosol products
derived from the MODIS and MISR sensors over the Chinese Yangtze River Delta,
Atmos. Res., 181, 29–43, https://doi.org/10.1016/j.atmosres.2016.06.008, 2016.
Kim, M.-H., Omar, A. H., Vaughan, M. A., Winker, D. M., Trepte, C. R., Hu,
Y., Liu, Z., and Kim, S.-W.: Quantifying the low bias of CALIPSO's column
aerosol optical depth due to undetected aerosol layers, J. Geophys.
Res.-Atmos., 122, 1098–1113, https://doi.org/10.1002/2016jd025797, 2017.
Kim, S. W., Yoon, S. C., Kim, J., and Kim, S. Y.: Seasonal and monthly
variations of columnar aerosol optical properties over east Asia determined
from multi-year MODIS, LIDAR, and AERONET Sun/sky radiometer measurements,
Atmos. Environ., 41, 1634–1651, https://doi.org/10.1016/j.atmosenv.2006.10.044, 2007.
King, M. D., Menzel, W. P., Kaufman, Y. J., Tanre, D., Gao, B. C., Platnick,
S., Ackerman, S. A., Remer, L. A., Pincus, R., and Hubanks, P. A.: Cloud and
aerosol properties, precipitable water, and profiles of temperature and water
vapor from MODIS, IEEE. T. Geosci. Remote., 41, 442–458,
https://doi.org/10.1109/Tgrs.2002.808226, 2003.
Kirchstetter, T. W. and Thatcher, T. L.: Contribution of organic carbon to
wood smoke particulate matter absorption of solar radiation, Atmos. Chem.
Phys., 12, 6067–6072, https://doi.org/10.5194/acp-12-6067-2012, 2012.
Lelieveld, J., Evans, J. S., Fnais, M., Giannadaki, D., and Pozzer, A.: The
contribution of outdoor air pollution sources to premature mortality on a
global scale, Nature, 525, 367–371, https://doi.org/10.1038/nature15371, 2015.
Levy, R. C., Remer, L. A., Kleidman, R. G., Mattoo, S., Ichoku, C., Kahn, R.,
and Eck, T. F.: Global evaluation of the Collection 5 MODIS dark-target
aerosol products over land, Atmos. Chem. Phys., 10, 10399–10420,
https://doi.org/10.5194/acp-10-10399-2010, 2010.
Li, S. S., Garay, M. J., Chen, L. F., Rees, E., and Liu, Y.: Comparison of
GEOS-Chem aerosol optical depth with AERONET and MISR data over the
contiguous United States, J. Geophys. Res.-Atmos., 118, 11228–11241,
https://doi.org/10.1002/jgrd.50867, 2013.
Li, S. S., Yu, C., Chen, L. F., Tao, J. H., Letu, H., Ge, W., Si, Y. D., and
Liu, Y.: Inter-comparison of model-simulated and satellite-retrieved
componential aerosol optical depths in China, Atmos. Environ., 141, 320–332,
https://doi.org/10.1016/j.atmosenv.2016.06.075, 2016.
Liu, J. J., Zheng, Y. F., Li, Z. Q., Flynn, C., and Cribb, M.: Seasonal
variations of aerosol optical properties, vertical distribution and
associated radiative effects in the Yangtze Delta region of China, J.
Geophys. Res.-Atmos., 117, D00K38, https://doi.org/10.1029/2011jd016490, 2012.
Ma, X., Bartlett, K., Harmon, K., and Yu, F.: Comparison of AOD between
CALIPSO and MODIS: significant differences over major dust and biomass
burning regions, Atmos. Meas. Tech., 6, 2391–2401,
https://doi.org/10.5194/amt-6-2391-2013, 2013.
Ma, X. Y., Yu, F. Q., and Quaas, J.: Reassessment of satellite-based estimate
of aerosol climate forcing, J. Geophys. Res.-Atmos., 119, 10394–10409,
https://doi.org/10.1002/2014jd021670, 2014.
Manders, A. M. M., Schaap, M., Jozwicka, M., van Arkel, F., Weijers, E. P.,
and Matthijsen, J.: The contribution of sea salt to PM10 and PM2.5
in the Netherlands. Netherlands Research Program on Particulate Matter,
Report 500099004, available at:
http://www.pbl.nl/sites/default/files/cms/publicaties/500099004.pdf
(last access: 30 September 2017), 2009.
Mao, K. B., Ma, Y., Xia, L., Chen, W. Y., Shen, X. Y., He, T. J., and Xu, T.
R.: Global aerosol change in the last decade: An analysis based on MODIS
data, Atmos. Environ., 94, 680–686, https://doi.org/10.1016/j.atmosenv.2014.04.053,
2014.
Massie, S. T., Delanoë, J., Bardeen, C. G., Jiang, J. H., and Huang, L.:
Changes in the shape of cloud ice water content vertical structure due to
aerosol variations, Atmos. Chem. Phys., 16, 6091–6105,
https://doi.org/10.5194/acp-16-6091-2016, 2016.
Matthias, V., Balis, D., Bosenberg, J., Eixmann, R., Iarlori, M., Komguem,
L., Mattis, I., Papayannis, A., Pappalardo, G., Perrone, M. R., and Wang, X.:
Vertical aerosol distribution over Europe: Statistical analysis of Raman
lidar data from 10 European Aerosol Research Lidar Network (EARLINET)
stations, J. Geophys. Res.-Atmos., 109, D18201, https://doi.org/10.1029/2004jd004638,
2004.
McCormick, R. A. and Ludwig, J. H.: Climate Modification by Atmospheric
Aerosols, Science, 156, 1358–1359, https://doi.org/10.1126/science.156.3780.1358, 1967.
Mehta, M., Singh, R., Singh, A., Singh, N., and Anshumali: Recent global
aerosol optical depth variations and trends – A comparative study using
MODIS and MISR level 3 datasets, Remote. Sens. Environ., 181, 137–150,
https://doi.org/10.1016/j.rse.2016.04.004, 2016.
Mielonen, T., Arola, A., Komppula, M., Kukkonen, J., Koskinen, J., de Leeuw,
G., and Lehtinen, K. E. J.: Comparison of CALIOP level 2 aerosol subtypes to
aerosol types derived from AERONET inversion data, Geophys. Res. Lett., 36,
L18804, https://doi.org/10.1029/2009gl039609, 2009.
Minguillon, M. C., Brines, M., Perez, N., Reche, C., Pandolfi, M., Fonseca,
A. S., Amato, F., Alastuey, A., Lyasota, A., Codina, B., Lee, H. K., Eun, H.
R., Ahn, K. H., and Querol, X.: New particle formation at ground level and in
the vertical column over the Barcelona area, Atmos. Res., 164, 118–130,
https://doi.org/10.1016/j.atmosres.2015.05.003, 2015.
NASA CALIPSO team: CALIPSO Quality Statements Lidar Level 3 Aerosol Profile
Monthly Products Version Release: 1.00, availabe at:
https://eosweb.larc.nasa.gov/PRODOCS/calipso/Quality_Summaries/CALIOP_L3AProProducts_1-00.html
(last access: 23 November 2017), 2011.
Niu, F. and Li, Z.: Systematic variations of cloud top temperature and
precipitation rate with aerosols over the global tropics, Atmos. Chem. Phys.,
12, 8491–8498, https://doi.org/10.5194/acp-12-8491-2012, 2012.
Omar, A. H., Winker, D. M., Kittaka, C., Vaughan, M. A., Liu, Z., Hu, Y.,
Trepte, C. R., Rogers, R. R., Ferrare, R. A., Lee, K.-P., Kuehn, R. E., and
Hostetler, C. A.: The CALIPSO Automated Aerosol Classification and Lidar
Ratio Selection Algorithm, J. Atmos. Ocean. Tech., 26, 1994–2014,
https://doi.org/10.1175/2009jtecha1231.1, 2009.
Qi, Y. L., Ge, J. M., and Huang, J. P.: Spatial and temporal distribution of
MODIS and MISR aerosol optical depth over northern China and comparison with
AERONET, Chinese. Sci. Bull., 58, 2497, https://doi.org/10.1007/s11434-013-5678-5, 2013.
Ramanathan, V., Chung, C., Kim, D., Bettge, T., Buja, L., Kiehl, J. T.,
Washington, W. M., Fu, Q., Sikka, D. R., and Wild, M.: Atmospheric brown
clouds: Impacts on South Asian climate and hydrological cycle, P. Natl. Acad.
Sci. USA., 102, 5326–5333, https://doi.org/10.1073/pnas.0500656102, 2005.
Ramanathan, V., Ramana, M. V., Roberts, G., Kim, D., Corrigan, C., Chung, C.,
and Winker, D.: Warming trends in Asia amplified by brown cloud solar
absorption, Nature, 448, 575–575, https://doi.org/10.1038/nature06019, 2007.
Remer, L. A., Kaufman, Y. J., Tanre, D., Mattoo, S., Chu, D. A., Martins, J.
V., Li, R. R., Ichoku, C., Levy, R. C., Kleidman, R. G., Eck, T. F., Vermote,
E., and Holben, B. N.: The MODIS aerosol algorithm, products, and validation,
J. Atmos. Sci., 62, 947–973, Doi 10.1175/Jas3385.1, 2005.
Rosenfeld, D., Lohmann, U., Raga, G. B., O'Dowd, C. D., Kulmala, M., Fuzzi,
S., Reissell, A., and Andreae, M. O.: Flood or drought: How do aerosols
affect precipitation?, Science, 321, 1309–1313, https://doi.org/10.1126/science.1160606,
2008.
Ruiz-Arias, J. A., Dudhia, J., Gueymard, C. A., and Pozo-Vázquez, D.:
Assessment of the Level-3 MODIS daily aerosol optical depth in the context of
surface solar radiation and numerical weather modeling, Atmos. Chem. Phys.,
13, 675–692, https://doi.org/10.5194/acp-13-675-2013, 2013.
Schuster, G. L., Vaughan, M., MacDonnell, D., Su, W., Winker, D., Dubovik,
O., Lapyonok, T., and Trepte, C.: Comparison of CALIPSO aerosol optical depth
retrievals to AERONET measurements, and a climatology for the lidar ratio of
dust, Atmos. Chem. Phys., 12, 7431–7452,
https://doi.org/10.5194/acp-12-7431-2012, 2012.
Seinfeld, J. H. and Pandis, S. N.: Atmospheric Chemistry and Physics, from
air pollution to climate change, John Wiley & Sons, Inc., Hoboken, New
Jersey, 2006.
Shindell, D. T., Faluvegi, G., Koch, D. M., Schmidt, G. A., Unger, N., and
Bauer, S. E.: Improved Attribution of Climate Forcing to Emissions, Science,
326, 716–718, https://doi.org/10.1126/science.1174760, 2009.
Shon, Z. H.: Long-term variations in PM2.5 emission from open
biomass burning in Northeast Asia derived from satellite-derived data for
2000–2013, Atmos. Environ., 107, 342–350,
https://doi.org/10.1016/j.atmosenv.2015.02.038, 2015.
Song, C. K., Ho, C. H., Park, R. J., Choi, Y. S., Kim, J., Gong, D. Y., and
Lee, Y. B.: Spatial and Seasonal Variations of Surface PM10
Concentration and MODIS Aerosol Optical Depth over China, Asia-Pac, J. Atmos.
Sci., 45, 33–43, 2009.
Song, S. K., Shon, Z. H., and Park, Y. H.: Diurnal and seasonal
characteristics of the optical properties and direct radiative forcing of
different aerosol components in Seoul megacity, Sci. Total. Environ., 599,
400–412, https://doi.org/10.1016/j.scitotenv.2017.04.195, 2017.
Stafoggia, M., Zauli-Sajani, S., Pey, J., Samoli, E., Alessandrini, E.,
Basagana, X., Cernigliaro, A., Chiusolo, M., Demaria, M., Diaz, J., Faustini,
A., Katsouyanni, K., Kelessis, A. G., Linares, C., Marchesi, S., Medina, S.,
Pandolfi, P., Perez, N., Querol, X., Randi, G., Ranzi, A., Tobias, A.,
Forastiere, F., Angelini, P., Berti, G., Bisanti, L., Cadum, E., Catrambone,
M., Davoli, M., de'Donato, F., Gandini, M., Grosa, M., Ferrari, S., Pelosini,
R., Perrino, C., Pietrodangelo, A., Pizzi, L., Poluzzi, V., Priod, G.,
Rowinski, M., Scarinzi, C., Stivanello, E., Dimakopoulou, K., Elefteriadis,
K., Kelessis, A., Maggos, T., Michalopoulos, N., Pateraki, S., Petrakakis,
M., Rodopoulou, S., Sypsa, V., Agis, D., Alguacil, J., Artinano, B.,
Barrera-Gomez, J., de la Rosa, J., Fernandez, R., Jacquemin, B., Karanasiou,
A., Ostro, B., Salvador, P., Sanchez, A. M., Sunyer, J., Bidondo, M.,
Declercq, C., Le Tertre, A., Lozano, P., Pascal, L., Pascal, M., and Grp,
M.-P. S.: Desert Dust Outbreaks in Southern Europe: Contribution to Daily
PM10 Concentrations and Short-Term Associations with Mortality and
Hospital Admissions, Environ. Health. Persp., 124, 413–419,
https://doi.org/10.1289/ehp.1409164, 2016.
Thorsen, T. J., Ferrare, R. A., Hostetler, C. A., Vaughan, M. A., and Fu, Q.:
The impact of lidar detection sensitivity on assessing aerosol direct
radiative effects, Geophys. Res. Lett., 44, 9059–9067,
https://doi.org/10.1002/2017gl074521, 2017.
Tian, P., Cao, X., Zhang, L., Sun, N., Sun, L., Logan, T., Shi, J., Wang, Y.,
Ji, Y., Lin, Y., Huang, Z., Zhou, T., Shi, Y., and Zhang, R.: Aerosol
vertical distribution and optical properties over China from long-term
satellite and ground-based remote sensing, Atmos. Chem. Phys., 17,
2509–2523, https://doi.org/10.5194/acp-17-2509-2017, 2017.
Timonen, H., Aurela, M., Carbone, S., Saarnio, K., Frey, A., Saarikoski, S.,
Teinila, K., Kulmala, M., and Hillamo, R.: Seasonal and diurnal changes in
inorganic ions, carbonaceous matter and mass in ambient aerosol particles in
an urban, background area, Boreal Environ. Res., 19, 71–86, 2014.
Twomey, S.: Influence of pollution on shortwave albedo of clouds, J. Atmos.
Sci., 34, 1149–1152, https://doi.org/10.1175/1520-0469(1977)034<1149:tiopot>2.0.co;2,
1977.
Unger, N., Shindell, D. T., Koch, D. M., and Streets, D. G.: Air pollution
radiative forcing from specific emissions sectors at 2030, J. Geophys.
Res.-Atmos., 113, D02306, https://doi.org/10.1029/2007jd008683, 2008.
USEPA: National Ambient Air Quality Standards Table, available at:
https://www.epa.gov/criteria-air-pollutants/naaqs-table (last access:
2 April 2018), 2015.
van der Werf, G. R., Randerson, J. T., Giglio, L., van Leeuwen, T. T., Chen,
Y., Rogers, B. M., Mu, M., van Marle, M. J. E., Morton, D. C., Collatz, G.
J., Yokelson, R. J., and Kasibhatla, P. S.: Global fire emissions estimates
during 1997–2016, Earth Syst. Sci. Data, 9, 697–720,
https://doi.org/10.5194/essd-9-697-2017, 2017.
Wang, J. D., Zhao, B., Wang, S. X., Yang, F. M., Xing, J., Morawska, L.,
Ding, A. J., Kulmala, M., Kerminen, V. M., Kujansuu, J., Wang, Z. F., Ding,
D. A., Zhang, X. Y., Wang, H. B., Tian, M., Petaja, T., Jiang, J. K., and
Hao, J. M.: Particulate matter pollution over China and the effects of
control policies, Sci. Total. Environ., 584, 426–447,
https://doi.org/10.1016/j.scitotenv.2017.01.027, 2017.
Wang, S. X., Zhao, B., Cai, S. Y., Klimont, Z., Nielsen, C. P., Morikawa, T.,
Woo, J. H., Kim, Y., Fu, X., Xu, J. Y., Hao, J. M., and He, K. B.: Emission
trends and mitigation options for air pollutants in East Asia, Atmos. Chem.
Phys., 14, 6571–6603, https://doi.org/10.5194/acp-14-6571-2014, 2014.
Wang, Y. and Zhao, C. F.: Can MODIS cloud fraction fully represent the
diurnal and seasonal variations at DOE ARM SGP and Manus sites?, J. Geophys.
Res.-Atmos., 122, 329–343, https://doi.org/10.1002/2016jd025954, 2017.
Wang, Y., Khalizov, A., Levy, M., and Zhang, R. Y.: New Directions: Light
absorbing aerosols and their atmospheric impacts, Atmos. Environ., 81,
713–715, https://doi.org/10.1016/j.atmosenv.2013.09.034, 2013.
Winker, D. M., Hunt, W. H., and McGill, M. J.: Initial performance assessment
of CALIOP, Geophys. Res. Lett., 34, L19803, https://doi.org/10.1029/2007gl030135, 2007.
Yang, X., Zhao, C. F., Zhou, L. J., Wang, Y., and Liu, X. H.: Distinct impact
of different types of aerosols on surface solar radiation in China, J.
Geophys. Res.-Atmos., 121, 6459–6471, https://doi.org/10.1002/2016jd024938, 2016.
Yang, X., Zhao, C., Zhou, L., Li, Z., Cribbc, M., and Yang, S.: Wintertime
cooling and a potential connection with transported aerosols in Hong Kong
during recent decades, Atmos. Res., 211, 52–61, 2018.
Yu, H. B., Chin, M., Winker, D. M., Omar, A. H., Liu, Z. Y., Kittaka, C., and
Diehl, T.: Global view of aerosol vertical distributions from CALIPSO lidar
measurements and GOCART simulations: Regional and seasonal variations, J.
Geophys. Res.-Atmos., 115, D00H30, https://doi.org/10.1029/2009jd013364, 2010.
Zhang, L., Li, Q. B., Gu, Y., Liou, K. N., and Meland, B.: Dust vertical
profile impact on global radiative forcing estimation using a coupled
chemical-transport-radiative-transfer model, Atmos. Chem. Phys., 13,
7097–7114, https://doi.org/10.5194/acp-13-7097-2013, 2013.
Zhao, B., Wang, S. X., Donahue, N. M., Jathar, S. H., Huang, X. F., Wu, W.
J., Hao, J. M., and Robinson, A. L.: Quantifying the effect of organic
aerosol aging and intermediate-volatility emissions on regional-scale aerosol
pollution in China, Sci. Rep-Uk., 6, 28815, https://doi.org/10.1038/srep28815, 2016.
Zhao, B., Jiang, J. H., Gu, Y., Diner, D., Worden, J., Liou, K. N., Su, H.,
Xing, J., Garay, M., and Huang, L.: Decadal-scale trends in regional aerosol
particle properties and their linkage to emission changes, Environ. Res.
Lett., 12, 054021, https://doi.org/10.1088/1748-9326/aa6cb2, 2017.
Zhao, B., Gu, Y., Liou, K. N., Wang, Y., Liu, X., Huang, L., Jiang, J. H.,
and Su, H.: Type-Dependent Responses of Ice Cloud Properties to Aerosols From
Satellite Retrievals, Geophys. Res. Lett., 45, 3297–3306,
https://doi.org/10.1002/2018GL077261, 2018a.
Zhao, B., Liou, K.-N., Gu, Y., Jiang, J. H., Li, Q., Fu, R., Huang, L., Liu,
X., Shi, X., Su, H., and He, C.: Impact of aerosols on ice crystal size,
Atmos. Chem. Phys., 18, 1065–1078, https://doi.org/10.5194/acp-18-1065-2018,
2018b.
Zhao, C. F., Qiu, Y. M., Dong, X. B., Wang, Z. E., Peng, Y. R., Li, B. D.,
Wu, Z. H., and Wang, Y.: Negative Aerosol-Cloud r(e) Relationship From
Aircraft Observations Over Hebei, China, Earth Space Sci., 5, 19–29,
https://doi.org/10.1002/2017ea000346, 2018c.
Zheng, C. W., Zhao, C. F., Zhu, Y. N., Wang, Y., Shi, X. Q., Wu, X. L., Chen,
T. M., Wu, F., and Qiu, Y. M.: Analysis of influential factors for the
relationship between PM2.5 and AOD in Beijing, Atmos. Chem. Phys., 17,
13473–13489, 10.5194/acp-17-13473-2017, 2017.
Short summary
We combine satellite-borne and ground-based observations to investigate the intra-annual variations of regional aerosol column loading, vertical distribution, and particle types. Column aerosol optical depth (AOD), as well as AOD > 800 m, peaks in summer/spring. However, AOD < 800 m and surface PM2.5 concentrations mostly peak in winter. The aerosol intra-annual variations differ significantly according to aerosol types characterized by different sizes, light absorption, and emission sources.
We combine satellite-borne and ground-based observations to investigate the intra-annual...
Altmetrics
Final-revised paper
Preprint