Articles | Volume 15, issue 7
https://doi.org/10.5194/gmd-15-2949-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-2949-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
07 Apr 2022
Model evaluation paper |
| 07 Apr 2022
| 07 Apr 2022
Evaluation of a quasi-steady-state approximation of the cloud droplet growth equation (QDGE) scheme for aerosol activation in global models using multiple aircraft data over both continental and marine environments
Hengqi Wang
Department of Earth System Science, Ministry of Education Key
Laboratory for Earth System Modeling, Institute for Global Change Studies,
Tsinghua University, Beijing 100084, China
Yiran Peng
CORRESPONDING AUTHOR
Department of Earth System Science, Ministry of Education Key
Laboratory for Earth System Modeling, Institute for Global Change Studies,
Tsinghua University, Beijing 100084, China
Knut von Salzen
CORRESPONDING AUTHOR
Canadian Centre for Climate Modelling and Analysis, Environment and
Climate Change Canada, Victoria, British Columbia, Canada
Yan Yang
Beijing Weather Modification Office, Beijing, 100101, China
Wei Zhou
Beijing Weather Modification Office, Beijing, 100101, China
Delong Zhao
Beijing Weather Modification Office, Beijing, 100101, China
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Hengqi Wang, Minqi Wang, Yiran Peng, Knut von Salzen, Jiangnan Li, Husi Letu, Luke Fraser-Leach, Jinyuan Xin, Xiaoye Zhang, and Johannes Quaas
EGUsphere, https://doi.org/10.5194/egusphere-2026-6615, https://doi.org/10.5194/egusphere-2026-6615, 2026
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Aerosols affect Earth's climate by changing how sunlight travels through the atmosphere and how clouds form. We developed an improved aerosol-climate model and tested it against observations from ground stations, ships, and satellites. The new model generally agrees better with observations, especially for aerosol number and optical properties, including in the Arctic. This work helps improve our understanding of aerosol effects on climate and supports more reliable climate predictions.
Hengqi Wang, Yiran Peng, Knut von Salzen, Husi Letu, Minqi Wang, Jiangnan Li, Hailing Jia, Huazhe Shang, Dabin Ji, Yuying Wang, Xin He, Luke Fraser-Leach, and Johannes Quaas
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Aerosols act as seeds for cloud formation and influence Earth's climate. Building on the aerosol evaluation in Part 1, we further evaluated an improved aerosol-climate model against observations to assess its ability to simulate clouds, rainfall, radiation, and aerosol-cloud interactions. The new model better simulates key cloud particles and their responses to aerosols, improving our understanding of aerosol–cloud interactions and their effects on climate.
Hengqi Wang, Yiran Peng, Knut von Salzen, Husi Letu, Minqi Wang, Jiangnan Li, Hailing Jia, Huazhe Shang, Dabin Ji, Yuying Wang, Xin He, Luke Fraser-Leach, and Johannes Quaas
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Aerosols act as seeds for cloud formation and influence Earth's climate. Building on the aerosol evaluation in Part 1, we further evaluated an improved aerosol-climate model against observations to assess its ability to simulate clouds, rainfall, radiation, and aerosol-cloud interactions. The new model better simulates key cloud particles and their responses to aerosols, improving our understanding of aerosol–cloud interactions and their effects on climate.
Hengqi Wang, Minqi Wang, Yiran Peng, Knut von Salzen, Jiangnan Li, Husi Letu, Luke Fraser-Leach, Jinyuan Xin, Xiaoye Zhang, and Johannes Quaas
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Aerosols affect Earth's climate by changing how sunlight travels through the atmosphere and how clouds form. We developed an improved aerosol-climate model and tested it against observations from ground stations, ships, and satellites. The new model generally agrees better with observations, especially for aerosol number and optical properties, including in the Arctic. This work helps improve our understanding of aerosol effects on climate and supports more reliable climate predictions.
Yuyan Long, Delong Zhao, Yun Zhang, Dantong Liu, Jing Duan, and Mengyu Huang
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Convective clouds exhibited high ice concentrations over the Tibetan Plateau. We use aircraft data to study extra ice formation. Multiple natural processes generate extra ice across a wider range than traditional theories suggest. The presence of supercooled droplets is essential, but their size, rather than their number alone, determines whether multiplication begins. Temperature and the amounts of other cloud particles control ice enhancement intensity.
Jiaxing Zhang, Suying Yang, Chunsong Lu, Yiran Peng, Guan Ming, and Jinbei Li
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Using aircraft measurements from three ocean field campaigns, we studied how low-level marine clouds change when the lower atmosphere becomes disconnected from the cloud layer above. This usually makes clouds thinner and less reflective. Dry air from above speeds cloud loss, while moist air helps clouds persist and form larger droplets. Depending on moisture and rainfall, clouds may dissipate, persist, or recover. These results improve understanding of how marine clouds affect climate.
Mian Chin, Jonathon S. Wright, Huisheng Bian, Qian Tan, Xiaohua Pan, Toshihiko Takemura, Hitoshi Matsui, Kostas Tsigaridis, Susanne Bauer, Paul Ginoux, Yiran Peng, Zengyuan Guo, Suvarna Fadnavis, Anton Laakso, John P. Burrows, Ghassan Taha, Jayanta Kar, Alexei Rozanov, Carlo Arosio, Landon Rieger, and Adam Bourassa
Atmos. Chem. Phys., 26, 6035–6059, https://doi.org/10.5194/acp-26-6035-2026, https://doi.org/10.5194/acp-26-6035-2026, 2026
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Aerosols in the upper troposphere influence weather and climate. The Asian summer monsoon efficiently transports surface pollutants upward, shaping aerosol amounts and variability in the upper troposphere. Using multiple global models, this study finds a summertime increase in upper-tropospheric aerosols at 1.2 % per year from 2000 to 2018 over Asia, consistent with rising pollutant emissions in Asia, while year-to-year changes are mainly driven by climate variability affecting monsoon dynamics.
Min Yuan, Di Wang, Weijia Wang, Lei Yin, Xiaobo Dong, Delong Zhao, and Fan Ping
Atmos. Chem. Phys., 26, 2275–2292, https://doi.org/10.5194/acp-26-2275-2026, https://doi.org/10.5194/acp-26-2275-2026, 2026
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This study quantitatively evaluates the characteristics of supercooled liquid water, as well as the sensitivity of the microphysical processes governing the production and depletion of supercooled liquid water to different aerosol inputs, including clean and polluted conditions. The results highlight the importance of near-real-time aerosol inputs for improving prediction of aircraft icing environments.
Yibo Huangfu, Ziyang Liu, Bin Yuan, Sihang Wang, Xianjun He, Wei Zhou, Fei Wang, Ping Tian, Wei Xiao, Yuanmou Du, Jiujiang Sheng, and Min Shao
Atmos. Chem. Phys., 25, 17613–17628, https://doi.org/10.5194/acp-25-17613-2025, https://doi.org/10.5194/acp-25-17613-2025, 2025
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Severe air pollution over the North China Plain has posed significant threats to human health. Emerging evidence highlights the vital role of vertical pollutant transport in influencing surface air quality. In this study, we summarized the vertical profiles of key pollutants based on aircraft surveys up to 4000 m. The influence of regional transport on the vertical distribution patterns was analyzed, offering essential data for evaluating the impact of aloft pollutants on surface air quality.
Yanrong Yang, Yuheng Zhang, Tianran Han, Conghui Xie, Yayong Liu, Yufei Huang, Jietao Zhou, Haijiong Sun, Delong Zhao, Kui Zhang, and Shao-Meng Li
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A wind speed correction algorithm for multirotor unoccupied aerial vehicles (UAVs) was developed using computational fluid dynamics (CFD). An integrated compensation algorithm was designed to account for the effects of UAV motion, attitude changes, and rotor-induced airflow on wind speed measurements. Comparative experimental results confirmed the effectiveness of the proposed compensation algorithm.
Kang Hu, Hong Liao, Dantong Liu, Jianbing Jin, Lei Chen, Siyuan Li, Yangzhou Wu, Changhao Wu, Shitong Zhao, Xiaotong Jiang, Ping Tian, Kai Bi, Ye Wang, and Delong Zhao
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This study combines machine learning with concentration-weighted trajectory analysis to quantify regional transport PM2.5. From 2013–2020, local emissions dominated Beijing's pollution events. The Air Pollution Prevention and Control Action Plan reduced regional transport pollution, but the eastern region showed the smallest decrease. Beijing should prioritize local emission reduction while considering the east region's contributions in future strategies.
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Cynthia Whaley, Montana Etten-Bohm, Courtney Schumacher, Ayodeji Akingunola, Vivek Arora, Jason Cole, Michael Lazare, David Plummer, Knut von Salzen, and Barbara Winter
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This paper describes how lightning was added as a process in the Canadian Earth System Model in order to interactively respond to climate changes. As lightning is an important cause of global wildfires, this new model development allows for more realistic projections of how wildfires may change in the future, responding to a changing climate.
Zizhan Hu, Yiran Peng, Mengke Zhu, and Jonathon S. Wright
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Preprint archived
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Clouds and precipitation are among the most difficult features of the climate system to simulate. Water isotopes provide valuable information about how clouds and precipitation develop and evolve, but most models that simulate water isotopes cannot resolve individual clouds. Here we introduce a new isotope-enabled model, iPyCLES, that simulates liquid and ice clouds on scales of 10 to 100 meters. This model can help to translate isotopic observations into constraints for larger-scale models.
Ruth A. R. Digby, Nathan P. Gillett, Adam H. Monahan, Knut von Salzen, Antonis Gkikas, Qianqian Song, and Zhibo Zhang
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Yanrong Yang, Yuheng Zhang, Tianran Han, Conghui Xie, Yayong Liu, Yufei Huang, Jietao Zhou, Haijiong Sun, Delong Zhao, Kui Zhang, and Shao-Meng Li
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The paper introduces a correction algorithm for accurate wind speed measurement in a multirotor unmanned aerial vehicle (UAV) with a sonic anemometer. Addressing propeller rotation, UAV movement, and attitude changes, it integrates computational fluid dynamics simulation and regression analysis. This comprehensive algorithm corrects rotor disturbances, motion, and attitude variations. Validation against meteorological tower data demonstrates its enhanced reliability in wind speed measurements.
Michael Sigmond, James Anstey, Vivek Arora, Ruth Digby, Nathan Gillett, Viatcheslav Kharin, William Merryfield, Catherine Reader, John Scinocca, Neil Swart, John Virgin, Carsten Abraham, Jason Cole, Nicolas Lambert, Woo-Sung Lee, Yongxiao Liang, Elizaveta Malinina, Landon Rieger, Knut von Salzen, Christian Seiler, Clint Seinen, Andrew Shao, Reinel Sospedra-Alfonso, Libo Wang, and Duo Yang
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We present a new activity which aims to organize the analysis of biases in the Canadian Earth System model (CanESM) in a systematic manner. Results of this “Analysis for Development” (A4D) activity includes a new CanESM version, CanESM5.1, which features substantial improvements regarding the simulation of dust and stratospheric temperatures, a second CanESM5.1 variant with reduced climate sensitivity, and insights into potential avenues to reduce various other model biases.
Jason Neil Steven Cole, Knut von Salzen, Jiangnan Li, John Scinocca, David Plummer, Vivek Arora, Norman McFarlane, Michael Lazare, Murray MacKay, and Diana Verseghy
Geosci. Model Dev., 16, 5427–5448, https://doi.org/10.5194/gmd-16-5427-2023, https://doi.org/10.5194/gmd-16-5427-2023, 2023
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The Canadian Atmospheric Model version 5 (CanAM5) is used to simulate on a global scale the climate of Earth's atmosphere, land, and lakes. We document changes to the physics in CanAM5 since the last major version of the model (CanAM4) and evaluate the climate simulated relative to observations and CanAM4. The climate simulated by CanAM5 is similar to CanAM4, but there are improvements, including better simulation of temperature and precipitation over the Amazon and better simulation of cloud.
Cynthia H. Whaley, Kathy S. Law, Jens Liengaard Hjorth, Henrik Skov, Stephen R. Arnold, Joakim Langner, Jakob Boyd Pernov, Garance Bergeron, Ilann Bourgeois, Jesper H. Christensen, Rong-You Chien, Makoto Deushi, Xinyi Dong, Peter Effertz, Gregory Faluvegi, Mark Flanner, Joshua S. Fu, Michael Gauss, Greg Huey, Ulas Im, Rigel Kivi, Louis Marelle, Tatsuo Onishi, Naga Oshima, Irina Petropavlovskikh, Jeff Peischl, David A. Plummer, Luca Pozzoli, Jean-Christophe Raut, Tom Ryerson, Ragnhild Skeie, Sverre Solberg, Manu A. Thomas, Chelsea Thompson, Kostas Tsigaridis, Svetlana Tsyro, Steven T. Turnock, Knut von Salzen, and David W. Tarasick
Atmos. Chem. Phys., 23, 637–661, https://doi.org/10.5194/acp-23-637-2023, https://doi.org/10.5194/acp-23-637-2023, 2023
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This study summarizes recent research on ozone in the Arctic, a sensitive and rapidly warming region. We find that the seasonal cycles of near-surface atmospheric ozone are variable depending on whether they are near the coast, inland, or at high altitude. Several global model simulations were evaluated, and we found that because models lack some of the ozone chemistry that is important for the coastal Arctic locations, they do not accurately simulate ozone there.
Siyuan Li, Dantong Liu, Shaofei Kong, Yangzhou Wu, Kang Hu, Huang Zheng, Yi Cheng, Shurui Zheng, Xiaotong Jiang, Shuo Ding, Dawei Hu, Quan Liu, Ping Tian, Delong Zhao, and Jiujiang Sheng
Atmos. Chem. Phys., 22, 6937–6951, https://doi.org/10.5194/acp-22-6937-2022, https://doi.org/10.5194/acp-22-6937-2022, 2022
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The understanding of secondary organic aerosols is hindered by the aerosol–gas evolution by different oxidation mechanisms. By concurrently measuring detailed mass spectra of aerosol and gas phases in a megacity online, we identified the primary and secondary source sectors and investigated the transformation between gas and aerosol phases influenced by photooxidation and moisture. The results will help us to understand the respective evolution of major sources in a typical urban environment.
Cynthia H. Whaley, Rashed Mahmood, Knut von Salzen, Barbara Winter, Sabine Eckhardt, Stephen Arnold, Stephen Beagley, Silvia Becagli, Rong-You Chien, Jesper Christensen, Sujay Manish Damani, Xinyi Dong, Konstantinos Eleftheriadis, Nikolaos Evangeliou, Gregory Faluvegi, Mark Flanner, Joshua S. Fu, Michael Gauss, Fabio Giardi, Wanmin Gong, Jens Liengaard Hjorth, Lin Huang, Ulas Im, Yugo Kanaya, Srinath Krishnan, Zbigniew Klimont, Thomas Kühn, Joakim Langner, Kathy S. Law, Louis Marelle, Andreas Massling, Dirk Olivié, Tatsuo Onishi, Naga Oshima, Yiran Peng, David A. Plummer, Olga Popovicheva, Luca Pozzoli, Jean-Christophe Raut, Maria Sand, Laura N. Saunders, Julia Schmale, Sangeeta Sharma, Ragnhild Bieltvedt Skeie, Henrik Skov, Fumikazu Taketani, Manu A. Thomas, Rita Traversi, Kostas Tsigaridis, Svetlana Tsyro, Steven Turnock, Vito Vitale, Kaley A. Walker, Minqi Wang, Duncan Watson-Parris, and Tahya Weiss-Gibbons
Atmos. Chem. Phys., 22, 5775–5828, https://doi.org/10.5194/acp-22-5775-2022, https://doi.org/10.5194/acp-22-5775-2022, 2022
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Air pollutants, like ozone and soot, play a role in both global warming and air quality. Atmospheric models are often used to provide information to policy makers about current and future conditions under different emissions scenarios. In order to have confidence in those simulations, in this study we compare simulated air pollution from 18 state-of-the-art atmospheric models to measured air pollution in order to assess how well the models perform.
Ming Li, Husi Letu, Yiran Peng, Hiroshi Ishimoto, Yanluan Lin, Takashi Y. Nakajima, Anthony J. Baran, Zengyuan Guo, Yonghui Lei, and Jiancheng Shi
Atmos. Chem. Phys., 22, 4809–4825, https://doi.org/10.5194/acp-22-4809-2022, https://doi.org/10.5194/acp-22-4809-2022, 2022
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To build on the previous investigations of the Voronoi model in the remote sensing retrievals of ice cloud products, this paper developed an ice cloud parameterization scheme based on the single-scattering properties of the Voronoi model and evaluate it through simulations with the Community Integrated Earth System Model (CIESM). Compared with four representative ice cloud schemes, results show that the Voronoi model has good capabilities of ice cloud modeling in the climate model.
Chenjie Yu, Dantong Liu, Kang Hu, Ping Tian, Yangzhou Wu, Delong Zhao, Huihui Wu, Dawei Hu, Wenbo Guo, Qiang Li, Mengyu Huang, Deping Ding, and James D. Allan
Atmos. Chem. Phys., 22, 4375–4391, https://doi.org/10.5194/acp-22-4375-2022, https://doi.org/10.5194/acp-22-4375-2022, 2022
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In this study, we applied a new technique to investigate the aerosol properties on both a mass and number basis and CCN abilities in Beijing suburban regions. The size-resolved aerosol chemical compositions and CCN activation measurement enable a detailed analysis of BC-containing particle hygroscopicity and its size-dependent contribution to the CCN activation. The results presented in this study will affect future models and human health studies.
Julia Schmale, Sangeeta Sharma, Stefano Decesari, Jakob Pernov, Andreas Massling, Hans-Christen Hansson, Knut von Salzen, Henrik Skov, Elisabeth Andrews, Patricia K. Quinn, Lucia M. Upchurch, Konstantinos Eleftheriadis, Rita Traversi, Stefania Gilardoni, Mauro Mazzola, James Laing, and Philip Hopke
Atmos. Chem. Phys., 22, 3067–3096, https://doi.org/10.5194/acp-22-3067-2022, https://doi.org/10.5194/acp-22-3067-2022, 2022
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Long-term data sets of Arctic aerosol properties from 10 stations across the Arctic provide evidence that anthropogenic influence on the Arctic atmospheric chemical composition has declined in winter, a season which is typically dominated by mid-latitude emissions. The number of significant trends in summer is smaller than in winter, and overall the pattern is ambiguous with some significant positive and negative trends. This reflects the mixed influence of natural and anthropogenic emissions.
Hao Luo, Li Dong, Yichen Chen, Yuefeng Zhao, Delong Zhao, Mengyu Huang, Deping Ding, Jiayuan Liao, Tian Ma, Maohai Hu, and Yong Han
Atmos. Chem. Phys., 22, 2507–2524, https://doi.org/10.5194/acp-22-2507-2022, https://doi.org/10.5194/acp-22-2507-2022, 2022
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Aerosol–planetary boundary layer (PBL) interaction is a key mechanism for stabilizing the atmosphere and exacerbating surface air pollution. Using aircraft measurements and WRF-Chem simulations, we find that the aerosol–PBL interaction of different aerosols under contrasting synoptic patterns, PBL structures, and aerosol vertical distributions vary significantly. We attempt to determine which pollutants to target in different synoptic conditions to attain more precise air pollution control.
Donglin Chen, Hong Liao, Yang Yang, Lei Chen, Delong Zhao, and Deping Ding
Atmos. Chem. Phys., 22, 1825–1844, https://doi.org/10.5194/acp-22-1825-2022, https://doi.org/10.5194/acp-22-1825-2022, 2022
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The black carbon (BC) vertical profile plays a critical role in BC–meteorology interaction, which also influences PM2.5 concentrations. More BC mass was assigned into high altitudes (above 1000 m) in the model, which resulted in a stronger cooling effect near the surface, a larger temperature inversion below 421 m, more reductions in PBLH, and a larger increase in near-surface PM2.5 in the daytime caused by the direct radiative effect of BC.
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Short summary
The aerosol activation scheme is an important part of the general circulation model, but evaluations using observed data are mostly regional. This research introduced a numerically efficient aerosol activation scheme and evaluated it by using stratus and stratocumulus cloud data sampled during multiple aircraft campaigns in Canada, Chile, Brazil, and China. The decent performance indicates that the scheme is suitable for simulations of cloud droplet number concentrations over wide conditions.
The aerosol activation scheme is an important part of the general circulation model, but...
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