Articles | Volume 21, issue 4
https://doi.org/10.5194/acp-21-2363-2021
© Author(s) 2021. 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-21-2363-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impacts of cloud microphysics parameterizations on simulated aerosol–cloud interactions for deep convective clouds over Houston
Yuwei Zhang
Department of Atmospheric and Oceanic Science, University of Maryland,
College Park, MD, USA
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, WA, USA
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, WA, USA
Zhanqing Li
Department of Atmospheric and Oceanic Science, University of Maryland,
College Park, MD, USA
Daniel Rosenfeld
Institute of Earth Sciences, The Hebrew University of Jerusalem,
Jerusalem, Israel
Related authors
No articles found.
Damao Zhang, Jennifer Comstock, Chitra Sivaraman, Kefei Mo, Raghavendra Krishnamurthy, Jingjing Tian, Tianning Su, Zhanqing Li, and Natalia Roldán-Henao
Atmos. Meas. Tech., 18, 3453–3475, https://doi.org/10.5194/amt-18-3453-2025, https://doi.org/10.5194/amt-18-3453-2025, 2025
Short summary
Short summary
Planetary boundary layer height (PBLHT) is an important parameter in atmospheric process studies and numerical model simulations. We use machine learning methods to produce a best-estimate planetary boundary layer height (PBLHT-BE-ML) by integrating four PBLHT estimates derived from remote sensing measurements. We demonstrated that PBLHT-BE-ML greatly improved the comparisons against sounding-derived PBLHT.
Yuanyuan Wu, Jihu Liu, Yannian Zhu, Yu Zhang, Yang Cao, Kang-En Huang, Boyang Zheng, Yichuan Wang, Yanyun Li, Quan Wang, Chen Zhou, Yuan Liang, Jianning Sun, Minghuai Wang, and Daniel Rosenfeld
Earth Syst. Sci. Data, 17, 3243–3258, https://doi.org/10.5194/essd-17-3243-2025, https://doi.org/10.5194/essd-17-3243-2025, 2025
Short summary
Short summary
Based on a deep-learning method, we established a global classification dataset of daytime and nighttime marine low-cloud mesoscale morphology. This aims to promote a comprehensive understanding of cloud dynamics and cloud–climate feedback. Closed mesoscale cellular convection (MCC) clouds occur more frequently at night, while suppressed cumulus clouds exhibit remarkable decreases. Solid stratus and MCC cloud types show clear seasonal variations.
Chris J. Wright, Joel A. Thornton, Lyatt Jaeglé, Yang Cao, Yannian Zhu, Jihu Liu, Randall Jones II, Robert Holzworth, Daniel Rosenfeld, Robert Wood, Peter Blossey, and Daehyun Kim
Atmos. Chem. Phys., 25, 2937–2946, https://doi.org/10.5194/acp-25-2937-2025, https://doi.org/10.5194/acp-25-2937-2025, 2025
Short summary
Short summary
Aerosol particles influence clouds, which exert a large forcing on solar radiation and freshwater. To better understand the mechanisms by which aerosol influences thunderstorms, we look at the two busiest shipping lanes in the world, where recent regulations have reduced sulfur emissions by nearly an order of magnitude. We find that the reduction in emissions has been accompanied by a dramatic decrease in both lightning and the number of droplets in clouds over the shipping lanes.
Zhe Song, Shaocai Yu, Pengfei Li, Ningning Yao, Lang Chen, Yuhai Sun, Boqiong Jiang, and Daniel Rosenfeld
Atmos. Chem. Phys., 25, 2473–2494, https://doi.org/10.5194/acp-25-2473-2025, https://doi.org/10.5194/acp-25-2473-2025, 2025
Short summary
Short summary
Our results with injected sea salt aerosols for five open oceans show that sea salt aerosols with low injection amounts dominate shortwave radiation, mainly through indirect effects. As indirect aerosol effects saturate with increasing injection rates, direct effects exceed indirect effects. This implies that marine cloud brightening is best implemented in areas with extensive cloud cover, while aerosol direct scattering effects remain dominant when clouds are scarce.
Jingyu Wang, Jiwen Fan, and Zhe Feng
Nat. Hazards Earth Syst. Sci., 23, 3823–3838, https://doi.org/10.5194/nhess-23-3823-2023, https://doi.org/10.5194/nhess-23-3823-2023, 2023
Short summary
Short summary
Hail and tornadoes are devastating hazards responsible for significant property damage and economic losses in the United States. Quantifying the connection between hazard events and mesoscale convective systems (MCSs) is of great significance for improving predictability, as well as for better understanding the influence of the climate-scale perturbations. A 14-year statistical dataset of MCS-related hazard production is presented.
Siyu Shan, Dale Allen, Zhanqing Li, Kenneth Pickering, and Jeff Lapierre
Atmos. Chem. Phys., 23, 14547–14560, https://doi.org/10.5194/acp-23-14547-2023, https://doi.org/10.5194/acp-23-14547-2023, 2023
Short summary
Short summary
Several machine learning models are applied to identify important variables affecting lightning occurrence in the vicinity of the Southern Great Plains ARM site during the summer months of 2012–2020. We find that the random forest model is the best predictor among common classifiers. We rank variables in terms of their effectiveness in nowcasting ENTLN lightning and identify geometric cloud thickness, rain rate and convective available potential energy (CAPE) as the most effective predictors.
Yuchen Wang, Xvli Guo, Yajie Huo, Mengying Li, Yuqing Pan, Shaocai Yu, Alexander Baklanov, Daniel Rosenfeld, John H. Seinfeld, and Pengfei Li
Atmos. Chem. Phys., 23, 5233–5249, https://doi.org/10.5194/acp-23-5233-2023, https://doi.org/10.5194/acp-23-5233-2023, 2023
Short summary
Short summary
Substantial advances have been made in recent years toward detecting and quantifying methane super-emitters from space. However, such advances have rarely been expanded to measure the global methane pledge because large-scale swaths and high-resolution sampling have not been coordinated. Here we present a versatile spaceborne architecture that can juggle planet-scale and plant-level methane retrievals, challenge official emission reports, and remain relevant for stereoscopic measurements.
Jing Wei, Zhanqing Li, Jun Wang, Can Li, Pawan Gupta, and Maureen Cribb
Atmos. Chem. Phys., 23, 1511–1532, https://doi.org/10.5194/acp-23-1511-2023, https://doi.org/10.5194/acp-23-1511-2023, 2023
Short summary
Short summary
This study estimated the daily seamless 10 km ambient gaseous pollutants (NO2, SO2, and CO) across China using machine learning with extensive input variables measured on monitors, satellites, and models. Our dataset yields a high data quality via cross-validation at varying spatiotemporal scales and outperforms most previous related studies, making it most helpful to future (especially short-term) air pollution and environmental health-related studies.
Rui Zhang, Yuying Wang, Zhanqing Li, Zhibin Wang, Russell R. Dickerson, Xinrong Ren, Hao He, Fei Wang, Ying Gao, Xi Chen, Jialu Xu, Yafang Cheng, and Hang Su
Atmos. Chem. Phys., 22, 14879–14891, https://doi.org/10.5194/acp-22-14879-2022, https://doi.org/10.5194/acp-22-14879-2022, 2022
Short summary
Short summary
Factors of cloud condensation nuclei number concentration (NCCN) profiles determined in the North China Plain include air mass sources, temperature structure, anthropogenic emissions, and terrain distribution. Cloud condensation nuclei (CCN) spectra suggest that the ability of aerosol activation into CCN is stronger in southeasterly than in northwesterly air masses and stronger in the free atmosphere than near the surface. A good method to parameterize NCCN from aerosol optical data is found.
Yuying Wang, Rong Hu, Qiuyan Wang, Zhanqing Li, Maureen Cribb, Yele Sun, Xiaorui Song, Yi Shang, Yixuan Wu, Xin Huang, and Yuxiang Wang
Atmos. Chem. Phys., 22, 14133–14146, https://doi.org/10.5194/acp-22-14133-2022, https://doi.org/10.5194/acp-22-14133-2022, 2022
Short summary
Short summary
The mixing state of size-resolved soot particles and their influencing factors were investigated. The results suggest anthropogenic emissions and aging processes have diverse impacts on the mixing state of soot particles in different modes. Considering that the mixing state of soot particles is crucial to model aerosol absorption, this finding is important to study particle growth and the warming effect of black carbon aerosols.
Paolo Dandini, Céline Cornet, Renaud Binet, Laetitia Fenouil, Vadim Holodovsky, Yoav Y. Schechner, Didier Ricard, and Daniel Rosenfeld
Atmos. Meas. Tech., 15, 6221–6242, https://doi.org/10.5194/amt-15-6221-2022, https://doi.org/10.5194/amt-15-6221-2022, 2022
Short summary
Short summary
3D cloud envelope and development velocity are retrieved from realistic simulations of multi-view
CLOUD (C3IEL) images. Cloud development velocity is derived by finding matching features
between acquisitions separated by 20 s. The tie points are then mapped from image to space via 3D
reconstruction of the cloud envelope obtained from 2 simultaneous images. The retrieved cloud
topography as well as the velocities are in good agreement with the estimates obtained from the
physical models.
Mengying Li, Shaocai Yu, Xue Chen, Zhen Li, Yibo Zhang, Zhe Song, Weiping Liu, Pengfei Li, Xiaoye Zhang, Meigen Zhang, Yele Sun, Zirui Liu, Caiping Sun, Jingkun Jiang, Shuxiao Wang, Benjamin N. Murphy, Kiran Alapaty, Rohit Mathur, Daniel Rosenfeld, and John H. Seinfeld
Atmos. Chem. Phys., 22, 11845–11866, https://doi.org/10.5194/acp-22-11845-2022, https://doi.org/10.5194/acp-22-11845-2022, 2022
Short summary
Short summary
This study constructed an emission inventory of condensable particulate matter (CPM) in China with a focus on organic aerosols (OAs), based on collected CPM emission information. The results show that OA emissions are enhanced twofold for the years 2014 and 2017 after the inclusion of CPM in the new inventory. Sensitivity cases demonstrated the significant contributions of CPM emissions from stationary combustion and mobile sources to primary, secondary, and total OA concentrations.
Feiyue Mao, Ruixing Shi, Daniel Rosenfeld, Zengxin Pan, Lin Zang, Yannian Zhu, and Xin Lu
Atmos. Chem. Phys., 22, 10589–10602, https://doi.org/10.5194/acp-22-10589-2022, https://doi.org/10.5194/acp-22-10589-2022, 2022
Short summary
Short summary
Previous studies generally ignored the faint aerosols undetected by the CALIPSO layer detection algorithm because they are too optically thin. Here, we retrieved the faint aerosol extinction based on instantaneous CALIPSO observations with the constraint of SAGE data. The correlation and normalized root-mean-square error of the retrievals with independent SAGE data are 0.66 and 100.6 %, respectively. The minimum retrieved extinction at night can be extended to 10-4 km-1 with 125 % uncertainty.
Katherine T. Junghenn Noyes, Ralph A. Kahn, James A. Limbacher, and Zhanqing Li
Atmos. Chem. Phys., 22, 10267–10290, https://doi.org/10.5194/acp-22-10267-2022, https://doi.org/10.5194/acp-22-10267-2022, 2022
Short summary
Short summary
We compare retrievals of wildfire smoke particle size, shape, and light absorption from the MISR satellite instrument to modeling and other satellite data on land cover type, drought conditions, meteorology, and estimates of fire intensity (fire radiative power – FRP). We find statistically significant differences in the particle properties based on burning conditions and land cover type, and we interpret how changes in these properties point to specific aerosol aging mechanisms.
Yun Lin, Jiwen Fan, Pengfei Li, Lai-yung Ruby Leung, Paul J. DeMott, Lexie Goldberger, Jennifer Comstock, Ying Liu, Jong-Hoon Jeong, and Jason Tomlinson
Atmos. Chem. Phys., 22, 6749–6771, https://doi.org/10.5194/acp-22-6749-2022, https://doi.org/10.5194/acp-22-6749-2022, 2022
Short summary
Short summary
How sea spray aerosols may affect cloud and precipitation over the region by acting as ice-nucleating particles (INPs) is unknown. We explored the effects of INPs from marine aerosols on orographic cloud and precipitation for an atmospheric river event observed during the 2015 ACAPEX field campaign. The marine INPs enhance the formation of ice and snow, leading to less shallow warm clouds but more mixed-phase and deep clouds. This work suggests models need to consider the impacts of marine INPs.
Lu Chen, Fang Zhang, Dongmei Zhang, Xinming Wang, Wei Song, Jieyao Liu, Jingye Ren, Sihui Jiang, Xue Li, and Zhanqing Li
Atmos. Chem. Phys., 22, 6773–6786, https://doi.org/10.5194/acp-22-6773-2022, https://doi.org/10.5194/acp-22-6773-2022, 2022
Short summary
Short summary
Aerosol hygroscopicity is critical when evaluating its effect on visibility and climate. Here, the size-resolved particle hygroscopicity at five sites in China is characterized using field measurements. We show the distinct behavior of hygroscopic particles during pollution evolution among the five sites. Moreover, different hygroscopic behavior during NPF events were also observed. The dataset is helpful for understanding the spatial variability in particle composition and formation mechanisms.
Po-Lun Ma, Bryce E. Harrop, Vincent E. Larson, Richard B. Neale, Andrew Gettelman, Hugh Morrison, Hailong Wang, Kai Zhang, Stephen A. Klein, Mark D. Zelinka, Yuying Zhang, Yun Qian, Jin-Ho Yoon, Christopher R. Jones, Meng Huang, Sheng-Lun Tai, Balwinder Singh, Peter A. Bogenschutz, Xue Zheng, Wuyin Lin, Johannes Quaas, Hélène Chepfer, Michael A. Brunke, Xubin Zeng, Johannes Mülmenstädt, Samson Hagos, Zhibo Zhang, Hua Song, Xiaohong Liu, Michael S. Pritchard, Hui Wan, Jingyu Wang, Qi Tang, Peter M. Caldwell, Jiwen Fan, Larry K. Berg, Jerome D. Fast, Mark A. Taylor, Jean-Christophe Golaz, Shaocheng Xie, Philip J. Rasch, and L. Ruby Leung
Geosci. Model Dev., 15, 2881–2916, https://doi.org/10.5194/gmd-15-2881-2022, https://doi.org/10.5194/gmd-15-2881-2022, 2022
Short summary
Short summary
An alternative set of parameters for E3SM Atmospheric Model version 1 has been developed based on a tuning strategy that focuses on clouds. When clouds in every regime are improved, other aspects of the model are also improved, even though they are not the direct targets for calibration. The recalibrated model shows a lower sensitivity to anthropogenic aerosols and surface warming, suggesting potential improvements to the simulated climate in the past and future.
Xing Yan, Zhou Zang, Zhanqing Li, Nana Luo, Chen Zuo, Yize Jiang, Dan Li, Yushan Guo, Wenji Zhao, Wenzhong Shi, and Maureen Cribb
Earth Syst. Sci. Data, 14, 1193–1213, https://doi.org/10.5194/essd-14-1193-2022, https://doi.org/10.5194/essd-14-1193-2022, 2022
Short summary
Short summary
This study developed a new satellite-based global land daily FMF dataset (Phy-DL FMF) by synergizing the advantages of physical and deep learning methods at a 1° spatial resolution by covering the period from 2001 to 2020. The Phy-DL FMF was extensively evaluated against ground-truth AERONET data and tested on a global scale against conventional satellite-based FMF products to demonstrate its superiority in accuracy.
Lu Chen, Fang Zhang, Don Collins, Jingye Ren, Jieyao Liu, Sihui Jiang, and Zhanqing Li
Atmos. Chem. Phys., 22, 2293–2307, https://doi.org/10.5194/acp-22-2293-2022, https://doi.org/10.5194/acp-22-2293-2022, 2022
Short summary
Short summary
Understanding the volatility and mixing state of atmospheric aerosols is important for elucidating their formation. Here, the size-resolved volatility of fine particles is characterized using field measurements. On average, the particles are more volatile in the summer. The retrieved mixing state shows that black carbon (BC)-containing particles dominate and contribute 67–77 % toward the total number concentration in the winter, while the non-BC particles accounted for 52–69 % in the summer.
Tianning Su, Youtong Zheng, and Zhanqing Li
Atmos. Chem. Phys., 22, 1453–1466, https://doi.org/10.5194/acp-22-1453-2022, https://doi.org/10.5194/acp-22-1453-2022, 2022
Short summary
Short summary
To enrich our understanding of coupling of continental clouds, we developed a novel methodology to determine cloud coupling state from a lidar and a suite of surface meteorological instruments. This method is built upon advancement in our understanding of fundamental boundary layer processes and clouds. As the first remote sensing method for determining the coupling state of low clouds over land, this methodology paves a solid ground for further investigating the coupled land–atmosphere system.
Matthew W. Christensen, Andrew Gettelman, Jan Cermak, Guy Dagan, Michael Diamond, Alyson Douglas, Graham Feingold, Franziska Glassmeier, Tom Goren, Daniel P. Grosvenor, Edward Gryspeerdt, Ralph Kahn, Zhanqing Li, Po-Lun Ma, Florent Malavelle, Isabel L. McCoy, Daniel T. McCoy, Greg McFarquhar, Johannes Mülmenstädt, Sandip Pal, Anna Possner, Adam Povey, Johannes Quaas, Daniel Rosenfeld, Anja Schmidt, Roland Schrödner, Armin Sorooshian, Philip Stier, Velle Toll, Duncan Watson-Parris, Robert Wood, Mingxi Yang, and Tianle Yuan
Atmos. Chem. Phys., 22, 641–674, https://doi.org/10.5194/acp-22-641-2022, https://doi.org/10.5194/acp-22-641-2022, 2022
Short summary
Short summary
Trace gases and aerosols (tiny airborne particles) are released from a variety of point sources around the globe. Examples include volcanoes, industrial chimneys, forest fires, and ship stacks. These sources provide opportunistic experiments with which to quantify the role of aerosols in modifying cloud properties. We review the current state of understanding on the influence of aerosol on climate built from the wide range of natural and anthropogenic laboratories investigated in recent decades.
Ramon Campos Braga, Barbara Ervens, Daniel Rosenfeld, Meinrat O. Andreae, Jan-David Förster, Daniel Fütterer, Lianet Hernández Pardo, Bruna A. Holanda, Tina Jurkat-Witschas, Ovid O. Krüger, Oliver Lauer, Luiz A. T. Machado, Christopher Pöhlker, Daniel Sauer, Christiane Voigt, Adrian Walser, Manfred Wendisch, Ulrich Pöschl, and Mira L. Pöhlker
Atmos. Chem. Phys., 21, 17513–17528, https://doi.org/10.5194/acp-21-17513-2021, https://doi.org/10.5194/acp-21-17513-2021, 2021
Short summary
Short summary
Interactions of aerosol particles with clouds represent a large uncertainty in estimates of climate change. Properties of aerosol particles control their ability to act as cloud condensation nuclei. Using aerosol measurements in the Amazon, we performed model studies to compare predicted and measured cloud droplet number concentrations at cloud bases. Our results confirm previous estimates of particle hygroscopicity in this region.
Yanda Zhang, Fangqun Yu, Gan Luo, Jiwen Fan, and Shuai Liu
Atmos. Chem. Phys., 21, 17433–17451, https://doi.org/10.5194/acp-21-17433-2021, https://doi.org/10.5194/acp-21-17433-2021, 2021
Short summary
Short summary
This paper explores the impacts of dust on summertime convective cloud and precipitation through a numerical experiment. The result indicates that the long-range-transported dust can notably affect the properties of convective cloud and precipitation by enhancing immersion freezing and invigorating convection. We also analyze the different dust effects predicted by the Morrison and SBM schemes, which are partially attributed to the saturation adjustment approach utilized in the bulk schemes.
Linhui Jiang, Yan Xia, Lu Wang, Xue Chen, Jianjie Ye, Tangyan Hou, Liqiang Wang, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Yaping Jiang, Weiping Liu, Pengfei Li, Daniel Rosenfeld, John H. Seinfeld, and Shaocai Yu
Atmos. Chem. Phys., 21, 16985–17002, https://doi.org/10.5194/acp-21-16985-2021, https://doi.org/10.5194/acp-21-16985-2021, 2021
Short summary
Short summary
This paper establishes a bottom-up approach to reveal a unique pattern of urban on-road vehicle emissions at a spatial resolution 1–3 orders of magnitude higher than current inventories. The results show that the hourly average on-road vehicle emissions of CO, NOx, HC, and PM2.5 are 74 kg, 40 kg, 8 kg, and 2 kg, respectively. Integrating our traffic-monitoring-based approach with urban measurements, we could address major data gaps between urban air pollutant emissions and concentrations.
Sihui Jiang, Fang Zhang, Jingye Ren, Lu Chen, Xing Yan, Jieyao Liu, Yele Sun, and Zhanqing Li
Atmos. Chem. Phys., 21, 14293–14308, https://doi.org/10.5194/acp-21-14293-2021, https://doi.org/10.5194/acp-21-14293-2021, 2021
Short summary
Short summary
New particle formation (NPF) can be a large source of CCN and affect weather and climate. Here we show that the NPF contributes largely to cloud droplet number concentration (Nd) but is suppressed at high particle number concentrations in Beijing due to water vapor competition. We also reveal a considerable impact of primary sources on the evaluation in the urban atmosphere. Our study has great significance for assessing NPF-associated effects on climate in polluted regions.
Ramon Campos Braga, Daniel Rosenfeld, Ovid O. Krüger, Barbara Ervens, Bruna A. Holanda, Manfred Wendisch, Trismono Krisna, Ulrich Pöschl, Meinrat O. Andreae, Christiane Voigt, and Mira L. Pöhlker
Atmos. Chem. Phys., 21, 14079–14088, https://doi.org/10.5194/acp-21-14079-2021, https://doi.org/10.5194/acp-21-14079-2021, 2021
Short summary
Short summary
Quantifying the precipitation within clouds is crucial for our understanding of the Earth's hydrological cycle. Using in situ measurements of cloud and rain properties over the Amazon Basin and Atlantic Ocean, we show here a linear relationship between the effective radius (re) and precipitation water content near the tops of convective clouds for different pollution states and temperature levels. Our results emphasize the role of re to determine both initiation and amount of precipitation.
Xin Lu, Feiyue Mao, Daniel Rosenfeld, Yannian Zhu, Zengxin Pan, and Wei Gong
Atmos. Chem. Phys., 21, 11979–12003, https://doi.org/10.5194/acp-21-11979-2021, https://doi.org/10.5194/acp-21-11979-2021, 2021
Short summary
Short summary
In this paper, a novel method for retrieving cloud base height and geometric thickness is developed and applied to produce a global climatology of boundary layer clouds with a high accuracy. The retrieval is based on the 333 m resolution low-level cloud distribution as obtained from the CALIPSO lidar data. The main part of the study describes the variability of cloud vertical geometrical properties in space, season, and time of the day. Resultant new insights are presented.
Rongmin Ren, Zhanqing Li, Peng Yan, Yuying Wang, Hao Wu, Maureen Cribb, Wei Wang, Xiao'ai Jin, Yanan Li, and Dongmei Zhang
Atmos. Chem. Phys., 21, 9977–9994, https://doi.org/10.5194/acp-21-9977-2021, https://doi.org/10.5194/acp-21-9977-2021, 2021
Short summary
Short summary
We analyzed the effect of the proportion of components making up the chemical composition of aerosols on f(RH) in southern Beijing in 2019. Nitrate played a more significant role in affecting f(RH) than sulfate. The ratio of the sulfate mass fraction to the nitrate mass fraction (mostly higher than ~ 4) was a sign of the deliquescence of aerosol. A piecewise parameterized scheme was proposed, which could better describe deliquescence and reduce uncertainties in simulating aerosol hygroscopicity.
Jing Wei, Zhanqing Li, Rachel T. Pinker, Jun Wang, Lin Sun, Wenhao Xue, Runze Li, and Maureen Cribb
Atmos. Chem. Phys., 21, 7863–7880, https://doi.org/10.5194/acp-21-7863-2021, https://doi.org/10.5194/acp-21-7863-2021, 2021
Short summary
Short summary
This study developed a space-time Light Gradient Boosting Machine (STLG) model to derive the high-temporal-resolution (1 h) and high-quality PM2.5 dataset in China (i.e., ChinaHighPM2.5) at a 5 km spatial resolution from the Himawari-8 Advanced Himawari Imager aerosol products. Our model outperforms most previous related studies with a much lower computation burden in terms of speed and memory, making it most suitable for real-time air pollution monitoring in China.
Tianmeng Chen, Zhanqing Li, Ralph A. Kahn, Chuanfeng Zhao, Daniel Rosenfeld, Jianping Guo, Wenchao Han, and Dandan Chen
Atmos. Chem. Phys., 21, 6199–6220, https://doi.org/10.5194/acp-21-6199-2021, https://doi.org/10.5194/acp-21-6199-2021, 2021
Short summary
Short summary
A convective cloud identification process is developed using geostationary satellite data from Himawari-8.
Convective cloud fraction is generally larger before noon and smaller in the afternoon under polluted conditions, but megacities and complex topography can influence the pattern.
A robust relationship between convective cloud and aerosol loading is found. This pattern varies with terrain height and is modulated by varying thermodynamic, dynamical, and humidity conditions during the day.
Jingyu Wang, Jiwen Fan, Robert A. Houze Jr., Stella R. Brodzik, Kai Zhang, Guang J. Zhang, and Po-Lun Ma
Geosci. Model Dev., 14, 719–734, https://doi.org/10.5194/gmd-14-719-2021, https://doi.org/10.5194/gmd-14-719-2021, 2021
Short summary
Short summary
This paper presents an evaluation of the E3SM model against NEXRAD radar observations for the warm seasons during 2014–2016. The COSP forward simulator package is implemented in the model to generate radar reflectivity, and the NEXRAD observations are coarsened to the model resolution for comparison. The model severely underestimates the reflectivity above 4 km. Sensitivity tests on the parameters from cumulus parameterization and cloud microphysics do not improve this model bias.
Yuying Wang, Zhanqing Li, Qiuyan Wang, Xiaoai Jin, Peng Yan, Maureen Cribb, Yanan Li, Cheng Yuan, Hao Wu, Tong Wu, Rongmin Ren, and Zhaoxin Cai
Atmos. Chem. Phys., 21, 915–926, https://doi.org/10.5194/acp-21-915-2021, https://doi.org/10.5194/acp-21-915-2021, 2021
Short summary
Short summary
The unexpected increase in surface ozone concentration was found along with the reduced anthropogenic emissions during the 2019 Chinese Spring Festival in Beijing. The enhanced atmospheric oxidation capacity could promote the formation of secondary aerosols, especially sulfate, which offset the decrease in PM2.5 mass concentration. This phenomenon was likely to exist throughout the entire Beijing–Tianjin–Hebei (BTH) region to be a contributing factor to the haze during the COVID-19 lockdown.
Johannes Quaas, Antti Arola, Brian Cairns, Matthew Christensen, Hartwig Deneke, Annica M. L. Ekman, Graham Feingold, Ann Fridlind, Edward Gryspeerdt, Otto Hasekamp, Zhanqing Li, Antti Lipponen, Po-Lun Ma, Johannes Mülmenstädt, Athanasios Nenes, Joyce E. Penner, Daniel Rosenfeld, Roland Schrödner, Kenneth Sinclair, Odran Sourdeval, Philip Stier, Matthias Tesche, Bastiaan van Diedenhoven, and Manfred Wendisch
Atmos. Chem. Phys., 20, 15079–15099, https://doi.org/10.5194/acp-20-15079-2020, https://doi.org/10.5194/acp-20-15079-2020, 2020
Short summary
Short summary
Anthropogenic pollution particles – aerosols – serve as cloud condensation nuclei and thus increase cloud droplet concentration and the clouds' reflection of sunlight (a cooling effect on climate). This Twomey effect is poorly constrained by models and requires satellite data for better quantification. The review summarizes the challenges in properly doing so and outlines avenues for progress towards a better use of aerosol retrievals and better retrievals of droplet concentrations.
Liqiang Wang, Shaocai Yu, Pengfei Li, Xue Chen, Zhen Li, Yibo Zhang, Mengying Li, Khalid Mehmood, Weiping Liu, Tianfeng Chai, Yannian Zhu, Daniel Rosenfeld, and John H. Seinfeld
Atmos. Chem. Phys., 20, 14787–14800, https://doi.org/10.5194/acp-20-14787-2020, https://doi.org/10.5194/acp-20-14787-2020, 2020
Short summary
Short summary
The Chinese government has made major strides in curbing anthropogenic emissions. In this study, we constrain a state-of-the-art CTM by a reliable data assimilation method with extensive chemical and meteorological observations. This comprehensive technical design provides a crucial advance in isolating the influences of emission changes and meteorological perturbations over the Yangtze River Delta (YRD) from 2016 to 2019, thus establishing the first map of the PM2.5 mitigation across the YRD.
Sarah E. Benish, Hao He, Xinrong Ren, Sandra J. Roberts, Ross J. Salawitch, Zhanqing Li, Fei Wang, Yuying Wang, Fang Zhang, Min Shao, Sihua Lu, and Russell R. Dickerson
Atmos. Chem. Phys., 20, 14523–14545, https://doi.org/10.5194/acp-20-14523-2020, https://doi.org/10.5194/acp-20-14523-2020, 2020
Short summary
Short summary
Airborne observations of ozone and related pollutants show smog was pervasive in spring 2016 over Hebei Province, China. We find high amounts of ozone precursors throughout and even above the PBL, continuing to generate ozone at high rates to be potentially transported downwind. Concentrations even in the rural areas of this highly industrialized province promote widespread ozone production, and we show that to improve air quality over Hebei both NOx and VOCs should be targeted.
Cited articles
Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation
– 3. Sectional representation, J. Geophys. Res.-Atmos., 107, 4026, https://doi.org/10.1029/2001jd000483, 2002.
Andreae, M. O., Jones, C. D., and Cox, P. M.: Strong present-day aerosol
cooling implies a hot future, Nature, 435, 1187-1190, https://doi.org/10.1038/nature03671, 2005.
Arakawa, A.: The cumulus parameterization problem: Past, present, and
future, J. Climate, 17, 2493–2525, https://doi.org/10.1175/1520-0442(2004)017<2493:Ratcpp>2.0.Co;2, 2004.
Chen, F. and Dudhia, J.: Coupling an advanced land surface-hydrology model
with the Penn State-NCAR MM5 modeling system. Part I: Model implementation
and sensitivity, Mon. Weather Rev., 129, 569–585, https://doi.org/10.1175/1520-0493(2001)129<0569:Caalsh>2.0.Co;2, 2001.
Chen, Q., Fan, J., Yin, Y., and Han, B.: Aerosol impacts on mesoscale convective
systems forming under different vertical wind shear conditions, J.
Geophys. Res.-Atmos., 125, e2018JD030027, https://doi.org/10.1029/2018JD030027, 2020.
Chen, Y.-C., Xue, L., Lebo, Z. J., Wang, H., Rasmussen, R. M., and Seinfeld, J. H.: A comprehensive numerical study of aerosol-cloud-precipitation interactions in marine stratocumulus, Atmos. Chem. Phys., 11, 9749–9769, https://doi.org/10.5194/acp-11-9749-2011, 2011.
Dagan, G., Koren, I., Altaratz, O., and Lehahn, Y.: Shallow convective cloud
field lifetime as a key factor for evaluating aerosol effects, iScience, 10,
192–202, 2018.
Ekman, A. M. L., Engstrom, A., and Soderberg, A.: Impact of Two-Way
Aerosol-Cloud Interaction and Changes in Aerosol Size Distribution on
Simulated Aerosol-Induced Deep Convective Cloud Sensitivity, J. Atmos. Sci.,
68, 685–698, https://doi.org/10.1175/2010jas3651.1, 2011.
Fan, J. W., Zhang, R. Y., Li, G. H., and Tao, W. K.: Effects of aerosols and
relative humidity on cumulus clouds, J. Geophys. Res.-Atmos., 112, D14204, https://doi.org/10.1029/2006jd008136, 2007.
Fan, J. W., Yuan, T. L., Comstock, J. M., Ghan, S., Khain, A., Leung, L. R.,
Li, Z. Q., Martins, V. J., and Ovchinnikov, M.: Dominant role by vertical
wind shear in regulating aerosol effects on deep convective clouds, J.
Geophys. Res.-Atmos., 114, D22206, https://doi.org/10.1029/2009jd012352, 2009.
Fan, J. W., Leung, L. R., Li, Z. Q., Morrison, H., Chen, H. B., Zhou, Y. Q.,
Qian, Y., and Wang, Y.: Aerosol impacts on clouds and precipitation in
eastern China: Results from bin and bulk microphysics, J. Geophys. Res.-Atmos.,
117, D00k36, https://doi.org/10.1029/2011jd016537, 2012a.
Fan, J. W., Rosenfeld, D., Ding, Y. N., Leung, L. R., and Li, Z. Q.:
Potential aerosol indirect effects on atmospheric circulation and radiative
forcing through deep convection, Geophys. Res. Lett., 39, L09806, https://doi.org/10.1029/2012gl051851, 2012b.
Fan, J. W., Leung, L. R., Rosenfeld, D., Chen, Q., Li, Z. Q., Zhang, J. Q.,
and Yan, H. R.: Microphysical effects determine macrophysical response for
aerosol impacts on deep convective clouds, P. Natl. Acad. Sci. USA, 110,
4581–4590, https://doi.org/10.1073/pnas.1316830110, 2013.
Fan, J. W., Wang, Y., Rosenfeld, D., and Liu, X. H.: Review of Aerosol-Cloud
Interactions: Mechanisms, Significance, and Challenges, J. Atmos. Sci., 73,
4221-4252, https://doi.org/10.1175/Jas-D-16-0037.1, 2016.
Fan, J. W., Han, B., Varble, A., Morrison, H., North, K., Kollias, P., Chen,
B. J., Dong, X. Q., Giangrande, S. E., Khain, A., Lin, Y., Mansell, E.,
Milbrandt, J. A., Stenz, R., Thompson, G., and Wang, Y.: Cloud-resolving
model intercomparison of an MC3E squall line case: Part I – Convective
updrafts, J. Geophys. Res.-Atmos., 122, 9351–9378, https://doi.org/10.1002/2017jd026622,
2017.
Fan, J. W., Rosenfeld, D., Zhang, Y. W., Giangrande, S. E., Li, Z. Q.,
Machado, L. A. T., Martin, S. T., Yang, Y., Wang, J., Artaxo, P., Barbosa,
H. M. J., Braga, R. C., Comstock, J. M., Feng, Z., Gao, W. H., Gomes, H. B.,
Mei, F., Pohlker, C., Pohlker, M. L., Poschl, U., and de Souza, R. A. F.:
Substantial convection and precipitation enhancements by ultrafine aerosol
particles, Science, 359, 411–418, https://doi.org/10.1126/science.aan8461, 2018.
Fast, J. D., Gustafson, W. I., Easter, R. C., Zaveri, R. A., Barnard, J. C.,
Chapman, E. G., Grell, G. A., and Peckham, S. E.: Evolution of ozone,
particulates, and aerosol direct radiative forcing in the vicinity of
Houston using a fully coupled meteorology-chemistry-aerosol model, J. Geophys.
Res.-Atmos., 111, D21305, https://doi.org/10.1029/2005jd006721, 2006.
Gao, W. H., Fan, J. W., Easter, R. C., Yang, Q., Zhao, C., and Ghan, S. J.:
Coupling spectral-bin cloud microphysics with the MOSAIC aerosol model in
WRF-Chem: Methodology and results for marine stratocumulus clouds, J. Adv.
Model. Earth Sy., 8, 1289–1309, https://doi.org/10.1002/2016ms000676, 2016.
Gelaro, R., McCarty, W., Suarez, M. J., Todling, R., Molod, A., Takacs, L.,
Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan, K.,
Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A., da
Silva, A. M., Gu, W., Kim, G. K., Koster, R., Lucchesi, R., Merkova, D.,
Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M.,
Schubert, S. D., Sienkiewicz, M., and Zhao, B.: The Modern-Era Retrospective
Analysis for Research and Applications, Version 2 (MERRA-2), J. Climate, 30,
5419–5454, https://doi.org/10.1175/Jcli-D-16-0758.1, 2017.
Grabowski, W. W. and Morrison, H.: Untangling microphysical impacts on deep
convection applying a novel modeling methodology. Part II: Double-moment
microphysics. J. Atmos. Sci., 73, 3749–3770, 2016.
Grabowski, W. W. and Morrison, H.: Modeling condensation in deep
convection, J. Atmos. Sci., 74, 2247–2267, https://doi.org/10.1175/JAS-D-16-0255.1,
2017.
Grabowski, W. W. and Morrison, H.: Do ultrafine cloud condensation nuclei
invigorate deep convection?, J. Atmos. Sci., 77, 2567–2583, https://doi.org/10.1175/JAS-D-20-0012.1, 2020.
Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G.,
Skamarock, W. C., and Eder, B.: Fully coupled “online” chemistry within the
WRF model, Atmos. Environ., 39, 6957–6975, https://doi.org/10.1016/j.atmosenv.2005.04.027, 2005.
Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181–3210, https://doi.org/10.5194/acp-6-3181-2006, 2006.
Haywood, J. and Boucher, O.: Estimates of the direct and indirect radiative
forcing due to tropospheric aerosols: A review, Rev. Geophys., 38, 513–543,
https://doi.org/10.1029/1999rg000078, 2000.
Houze, R. A.: Cloud dynamics, 2. edn., Elsevier Academic Press, Amsterdam, The Netherlands,
2014.
Iacono, M. J., Delamere, J. S., Mlawer, E. J., Shephard, M. W., Clough, S.
A., and Collins, W. D.: Radiative forcing by long-lived greenhouse gases:
Calculations with the AER radiative transfer models, J. Geophys. Res.-Atmos.,
113, D13103, https://doi.org/10.1029/2008jd009944, 2008.
Janjić, Z. I.: The Step-Mountain Eta Coordinate Model – Further Developments
of the Convection, Viscous Sublayer, and Turbulence Closure Schemes, Mon.
Weather Rev., 122, 927–945, https://doi.org/10.1175/1520-0493(1994)122<0927:Tsmecm>2.0.Co;2, 1994.
Khain, A. and Lynn, B.: Simulation of a supercell storm in clean and dirty
atmosphere using weather research and forecast model with spectral bin
microphysics, J. Geophys. Res.-Atmos., 114, D19209, https://doi.org/10.1029/2009jd011827,
2009.
Khain, A., Pokrovsky, A., Pinsky, M., Seifert, A., and Phillips, V.:
Simulation of effects of atmospheric aerosols on deep turbulent convective
clouds using a spectral microphysics mixed-phase cumulus cloud model. Part
I: Model description and possible applications, J. Atmos. Sci., 61, 2963–2982,
https://doi.org/10.1175/Jas-3350.1, 2004.
Khain, A., Rosenfeld, D., and Pokrovsky, A.: Aerosol impact on the dynamics
and microphysics of deep convective clouds, Q. J. Roy. Meteor. Soc., 131,
2639–2663, https://doi.org/10.1256/qj.04.62, 2005.
Khain, A., Lynn, B., and Dudhia, J.: Aerosol Effects on Intensity of
Landfalling Hurricanes as Seen from Simulations with the WRF Model with
Spectral Bin Microphysics, J. Atmos. Sci., 67, 365–384, https://doi.org/10.1175/2009jas3210.1, 2010.
Khain, A. P., BenMoshe, N., and Pokrovsky, A.: Factors determining the
impact of aerosols on surface precipitation from clouds: An attempt at
classification, J. Atmos. Sci., 65, 1721–1748, https://doi.org/10.1175/2007jas2515.1,
2008.
Khain, A. P., Leung, L. R., Lynn, B., and Ghan, S.: Effects of aerosols on
the dynamics and microphysics of squall lines simulated by spectral bin and
bulk parameterization schemes, J. Geophys. Res.-Atmos., 114, D22203, https://doi.org/10.1029/2009jd011902, 2009.
Khain, A. P., Beheng, K. D., Heymsfield, A., Korolev, A., Krichak, S. O.,
Levin, Z., Pinsky, M., Phillips, V., Prabhakaran, T., Teller, A., van den
Heever, S. C., and Yano, J. I.: Representation of microphysical processes in
cloud-resolving models: Spectral (bin) microphysics versus bulk
parameterization, Rev. Geophys., 53, 247–322, https://doi.org/10.1002/2014rg000468, 2015.
Koren, I., Dagan, G., and Altaratz, O.: From aerosol-limited to invigoration
of warm convective clouds, Science, 344, 1143–1146, https://doi.org/10.1126/science.1252595, 2014.
Korolev, A., and Mazin, I.: Supersaturation of water vapor in clouds, J.
Atmos. Sci., 60, 2957–2974, 2003.
Lebo, Z.: A Numerical Investigation of the Potential Effects of
Aerosol-Induced Warming and Updraft Width and Slope on Updraft Intensity in
Deep Convective Clouds, J. Atmos. Sci., 75, 535–554, https://doi.org/10.1175/Jas-D-16-0368.1, 2018.
Lebo, Z. J. and Seinfeld, J. H.: Theoretical basis for convective invigoration due to increased aerosol concentration, Atmos. Chem. Phys., 11, 5407–5429, https://doi.org/10.5194/acp-11-5407-2011, 2011.
Lebo, Z. J., Morrison, H., and Seinfeld, J. H.: Are simulated aerosol-induced effects on deep convective clouds strongly dependent on saturation adjustment?, Atmos. Chem. Phys., 12, 9941–9964, https://doi.org/10.5194/acp-12-9941-2012, 2012.
Lee, S. S., Li, Z., Zhang, Y., Yoo, H., Kim, S., Kim, B.-G., Choi, Y.-S., Mok, J., Um, J., Choi, K. O., and Dong, D.: Effects of model resolution and parameterizations on the simulations of clouds, precipitation, and their interactions with aerosols, Atmos. Chem. Phys., 18, 13–29, https://doi.org/10.5194/acp-18-13-2018, 2018.
Li, G. H., Wang, Y., and Zhang, R. Y.: Implementation of a two-moment bulk
microphysics scheme to the WRF model to investigate aerosol-cloud
interaction, J. Geophys. Res.-Atmos., 113, D15211, https://doi.org/10.1029/2007jd009361,
2008.
Li, X. W., Tao, W. K., Khain, A. P., Simpson, J., and Johnson, D. E.:
Sensitivity of a Cloud-Resolving Model to Bulk and Explicit Bin
Microphysical Schemes. Part I: Comparisons, J. Atmos. Sci., 66, 3–21, https://doi.org/10.1175/2008jas2646.1, 2009.
Li, Z. Q., Niu, F., Fan, J. W., Liu, Y. G., Rosenfeld, D., and Ding, Y. N.:
Long-term impacts of aerosols on the vertical development of clouds and
precipitation, Nat. Geosci., 4, 888–894, https://doi.org/10.1038/Ngeo1313, 2011.
Loftus, A. M. and Cotton, W. R.: Examination of CCN impacts on hail in a
simulated supercell storm with triple-moment hail bulk microphysics, Atmos.
Res., 147, 183–204, https://doi.org/10.1016/j.atmosres.2014.04.017, 2014.
Lohmann, U. and Feichter, J.: Global indirect aerosol effects: a review, Atmos. Chem. Phys., 5, 715–737, https://doi.org/10.5194/acp-5-715-2005, 2005.
Milbrandt, J. A. and Yau, M. K.: A multimoment bulk microphysics
parameterization. Part II: A proposed three-moment closure and scheme
description, J. Atmos. Sci., 62, 3065–3081, https://doi.org/10.1175/Jas3535.1, 2005.
Morrison, H.: On the robustness of aerosol effects on an idealized supercell storm simulated with a cloud system-resolving model, Atmos. Chem. Phys., 12, 7689–7705, https://doi.org/10.5194/acp-12-7689-2012, 2012.
Morrison, H. and Grabowski, W. W.: Comparison of bulk and bin warm-rain
microphysics models using a kinematic framework, J. Atmos.
Sci., 64, 2839–2861, 2007.
Morrison, H. and Grabowski, W. W.: Modeling supersaturation and
subgrid-scale mixing with two-moment bulk warm microphysics, J. Atmos.
Sci., 65, 792–812, https://doi.org/10.1175/2007JAS2374.1, 2008.
Morrison, H., and Milbrandt, J.: Comparison of Two-Moment Bulk Microphysics
Schemes in Idealized Supercell Thunderstorm Simulations, Mon. Weather Rev.,
139, 1103–1130, https://doi.org/10.1175/2010mwr3433.1, 2011.
Morrison, H., Curry, J. A., and Khvorostyanov, V. I.: A new double-moment
microphysics parameterization for application in cloud and climate models.
Part I: Description, J. Atmos. Sci., 62, 1665–1677, https://doi.org/10.1175/Jas3446.1,
2005.
Morrison, H., Thompson, G., and Tatarskii, V.: Impact of Cloud Microphysics
on the Development of Trailing Stratiform Precipitation in a Simulated
Squall Line: Comparison of One- and Two-Moment Schemes, Mon. Weather Rev.,
137, 991–1007, https://doi.org/10.1175/2008mwr2556.1, 2009.
Pinsky, M., Mazin, I. P., Korolev, A., and Khain, A. P.: Supersaturation and
diffusional droplet growth in liquid clouds, J. Atmos. Sci., 70, 2778–2793,
2013.
Politovich, M. K. and Cooper, W. A.: Variability of the supersaturation in
cumulus clouds, J. Atmos. Sci., 45, 1651–1664,
https://doi.org/10.1175/1520-0469(1988)045,1651:VOTSIC.2.0.CO;2, 1988.
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.
Rosenfeld, D., Andreae, M. O., Asmi, A., Chin, M., de Leeuw, G., Donovan, D.
P., Kahn, R., Kinne, S., Kivekas, N., Kulmala, M., Lau, W., Schmidt, K. S.,
Suni, T., Wagner, T., Wild, M., and Quaas, J.: Global observations of
aerosol-cloud-precipitation-climate interactions, Rev. Geophys., 52, 750–808,
https://doi.org/10.1002/2013rg000441, 2014.
Rosenfeld, D., Zheng, Y. T., Hashimshoni, E., Pohlker, M. L., Jefferson, A.,
Pohlker, C., Yu, X., Zhu, Y. N., Liu, G. H., Yue, Z. G., Fischman, B., Li,
Z. Q., Giguzin, D., Goren, T., Artaxo, P., Barbosa, H. M. J., Poschl, U.,
and Andreae, M. O.: Satellite retrieval of cloud condensation nuclei
concentrations by using clouds as CCN chambers, P. Natl. Acad. Sci. USA, 113,
5828–5834, https://doi.org/10.1073/pnas.1514044113, 2016.
Salamanca, F. and Martilli, A.: A new Building Energy Model coupled with an
Urban Canopy Parameterization for urban climate simulations-part II.
Validation with one dimension off-line simulations, Theor. Appl. Climatol., 99,
345–356, https://doi.org/10.1007/s00704-009-0143-8, 2010.
Sheffield, A. M., Saleeby, S. M., and van den Heever, S. C.: Aerosol-induced
mechanisms for cumulus congestus growth, J. Geophys. Res.-Atmos., 120,
8941–8952, https://doi.org/10.1002/2015jd023743, 2015.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M.,
Duda, M., Huang, X. Y., Wang, W., and Powers, J. G.: A description of the
advanced research WRF version 3, NCAR, Tech. Note, Mesoscale and Microscale
Meteorology Division, National Center for Atmospheric Research, Boulder,
Colorado, USA, 2008.
Stevens, B. and Feingold, G.: Untangling aerosol effects on clouds and
precipitation in a buffered system, Nature, 461, 607–613, 2009.
Storer, R. L., van den Heever, S. C., and Stephens, G. L.: Modeling Aerosol
Impacts on Convective Storms in Different Environments, J. Atmos. Sci., 67,
3904–3915, https://doi.org/10.1175/2010jas3363.1, 2010.
Tao, W. and Li, X.: The relationship between latent heating, vertical
velocity, and precipitation processes: The impact of aerosols on
precipitation in organized deep convective systems, J. Geophys. Res.-Atmos.,
121, 6299–6320, 2016.
van den Heever, S. C., Stephens, G. L., and Wood, N. B.: Aerosol indirect
effects on tropical convection characteristics under conditions of
radiative-convective equilibrium, J. Atmos. Sci., 68, 699–718, 2011.
Varble, A.: Erroneous attribution of deep convective invigoration to aerosol
concentration, J. Atmos. Sci., 75, 1351–1368, 2018.
Wang, Y., Fan, J. W., Zhang, R. Y., Leung, L. R., and Franklin, C.:
Improving bulk microphysics parameterizations in simulations of aerosol
effects, J. Geophys. Res.-Atmos., 118, 5361–5379, https://doi.org/10.1002/jgrd.50432, 2013.
Wiedinmyer, C., Akagi, S. K., Yokelson, R. J., Emmons, L. K., Al-Saadi, J. A., Orlando, J. J., and Soja, A. J.: The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning, Geosci. Model Dev., 4, 625–641, https://doi.org/10.5194/gmd-4-625-2011, 2011.
Yuan, T. L., Li, Z. Q., Zhang, R. Y., and Fan, J. W.: Increase of cloud
droplet size with aerosol optical depth: An observation and modeling study,
J. Geophys. Res.-Atmos., 113, D04201, https://doi.org/10.1029/2007jd008632, 2008.
Zaveri, R. A., and Peters, L. K.: A new lumped structure photochemical mechanism for large‐scale applications, J. Geophys. Res., 104, 30387–30415, https://doi.org/10.1029/1999JD900876, 1999.
Zaveri, R. A., Easter, R. C., Fast, J. D., and Peters, L. K.: Model for
Simulating Aerosol Interactions and Chemistry (MOSAIC), J. Geophys. Res.-Atmos.,
113, D13204, https://doi.org/10.1029/2007jd008782, 2008.
Short summary
Impacts of anthropogenic aerosols on deep convective clouds (DCCs) and precipitation are examined using both the Morrison bulk and spectral bin microphysics (SBM) schemes. With the SBM scheme, anthropogenic aerosols notably invigorate convective intensity and precipitation, causing better agreement between the simulated DCCs and observations; this effect is absent with the Morrison scheme, mainly due to limitations of the saturation adjustment approach for droplet condensation and evaporation.
Impacts of anthropogenic aerosols on deep convective clouds (DCCs) and precipitation are...
Altmetrics
Final-revised paper
Preprint