Articles | Volume 26, issue 15
https://doi.org/10.5194/acp-26-11111-2026
© Author(s) 2026. 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-26-11111-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Elevated aerosol layers within the daytime mixed layer over ecologically sensitive areas of northwest China: diurnal variation, formation mechanisms and regional effects
Zikai Lin
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Tian Zhou
CORRESPONDING AUTHOR
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Zhengpeng Li
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Yonghong Gu
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Dongsheng Wu
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Ping Zhou
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong 519082, China
Keyu Zhang
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Qili Gao
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Xingran Li
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Zhongwei Huang
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, 730000, China
Jianrong Bi
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, 730000, China
Lili Yang
Gansu Province Environmental Monitoring Center, Lanzhou 730000, China
Lina Wang
Gansu Province Environmental Monitoring Center, Lanzhou 730000, China
Related authors
No articles found.
Zhongwei Huang, Wenjin Zhang, Qing Dong, Teruya Maki, Yongkai Wang, Yuanzong Ji, Fanli Xue, Xuefei Huo, Da Lu, Dongdong Wang, Jinsen Shi, Jianrong Bi, and Jianping Huang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-338, https://doi.org/10.5194/essd-2026-338, 2026
Revised manuscript under review for ESSD
Short summary
Short summary
Bioaerosols exert significant influences on climate, the environment, ecosystems, and public health. This study establishes an integrated bioaerosol dataset across East Asia using unified sampling and analytical methods. It was found that bioaerosol concentrations are negatively correlated with local Normalized Difference Vegetation Index (NDVI), and their relationship with atmospheric temperature is nonlinear. The α-diversity indices were negatively correlated with NDVI.
Minqiang Zhou, Yilong Wang, Minzheng Duan, Xiangjun Tian, Jinzhi Ding, Jianrong Bi, Yaoming Ma, Weiqiang Ma, and Zhenhua Xi
Atmos. Meas. Tech., 18, 4311–4324, https://doi.org/10.5194/amt-18-4311-2025, https://doi.org/10.5194/amt-18-4311-2025, 2025
Short summary
Short summary
The Qinghai–Tibetan Plateau is a key system that impacts the global carbon balance. This study presents the greenhouse gas (GHG) mole fraction measurement campaign in May 2022 at Mt. Qomolangma station, including ground-based remote sensing and in situ measurements. The GHG measurements are carried out in this region for the first time and used for satellite validation.
Guangyao Dai, Songhua Wu, Wenrui Long, Jiqiao Liu, Yuan Xie, Kangwen Sun, Fanqian Meng, Xiaoquan Song, Zhongwei Huang, and Weibiao Chen
Atmos. Meas. Tech., 17, 1879–1890, https://doi.org/10.5194/amt-17-1879-2024, https://doi.org/10.5194/amt-17-1879-2024, 2024
Short summary
Short summary
An overview is given of the main algorithms applied to derive the aerosol and cloud optical property product of the Aerosol and Carbon Detection Lidar (ACDL), which is capable of globally profiling aerosol and cloud optical properties with high accuracy. The paper demonstrates the observational capabilities of ACDL for aerosol and cloud vertical structure and global distribution through two optical property product measurement cases and global aerosol optical depth profile observations.
Qiantao Liu, Zhongwei Huang, Jiqiao Liu, Weibiao Chen, Qingqing Dong, Songhua Wu, Guangyao Dai, Meishi Li, Wuren Li, Ze Li, Xiaodong Song, and Yuan Xie
Atmos. Meas. Tech., 17, 1403–1417, https://doi.org/10.5194/amt-17-1403-2024, https://doi.org/10.5194/amt-17-1403-2024, 2024
Short summary
Short summary
The achieved results revealed that the ACDL observations were in good agreement with the ground-based lidar measurements during dust events. The heights of cloud top and bottom from these two measurements were well matched and comparable. This study proves that the ACDL provides reliable observations of aerosol and cloud in the presence of various climatic conditions, which helps to further evaluate the impacts of aerosol on climate and the environment, as well as on the ecosystem in the future.
Honglin Pan, Jianping Huang, Jiming Li, Zhongwei Huang, Minzhong Wang, Ali Mamtimin, Wen Huo, Fan Yang, Tian Zhou, and Kanike Raghavendra Kumar
Earth Syst. Sci. Data, 16, 1185–1207, https://doi.org/10.5194/essd-16-1185-2024, https://doi.org/10.5194/essd-16-1185-2024, 2024
Short summary
Short summary
We applied several correction procedures and rigorously checked for data quality constraints during the long observation period spanning almost 14 years (2007–2020). Nevertheless, some uncertainties remain, mainly due to technical constraints and limited documentation of the measurements. Even though not completely accurate, this strategy is expected to at least reduce the inaccuracy of the computed characteristic value of aerosol optical parameters.
Shikuan Jin, Yingying Ma, Zhongwei Huang, Jianping Huang, Wei Gong, Boming Liu, Weiyan Wang, Ruonan Fan, and Hui Li
Atmos. Chem. Phys., 23, 8187–8210, https://doi.org/10.5194/acp-23-8187-2023, https://doi.org/10.5194/acp-23-8187-2023, 2023
Short summary
Short summary
To better understand the Asian aerosol environment, we studied distributions and trends of aerosol with different sizes and types. Over the past 2 decades, dust, sulfate, and sea salt aerosol decreased by 5.51 %, 3.07 %, and 9.80 %, whereas organic carbon and black carbon aerosol increased by 17.09 % and 6.23 %, respectively. The increase in carbonaceous aerosols was a feature of Asia. An exception is found in East Asia, where the carbonaceous aerosols reduced, owing largely to China's efforts.
Carlos Alberti, Frank Hase, Matthias Frey, Darko Dubravica, Thomas Blumenstock, Angelika Dehn, Paolo Castracane, Gregor Surawicz, Roland Harig, Bianca C. Baier, Caroline Bès, Jianrong Bi, Hartmut Boesch, André Butz, Zhaonan Cai, Jia Chen, Sean M. Crowell, Nicholas M. Deutscher, Dragos Ene, Jonathan E. Franklin, Omaira García, David Griffith, Bruno Grouiez, Michel Grutter, Abdelhamid Hamdouni, Sander Houweling, Neil Humpage, Nicole Jacobs, Sujong Jeong, Lilian Joly, Nicholas B. Jones, Denis Jouglet, Rigel Kivi, Ralph Kleinschek, Morgan Lopez, Diogo J. Medeiros, Isamu Morino, Nasrin Mostafavipak, Astrid Müller, Hirofumi Ohyama, Paul I. Palmer, Mahesh Pathakoti, David F. Pollard, Uwe Raffalski, Michel Ramonet, Robbie Ramsay, Mahesh Kumar Sha, Kei Shiomi, William Simpson, Wolfgang Stremme, Youwen Sun, Hiroshi Tanimoto, Yao Té, Gizaw Mengistu Tsidu, Voltaire A. Velazco, Felix Vogel, Masataka Watanabe, Chong Wei, Debra Wunch, Marcia Yamasoe, Lu Zhang, and Johannes Orphal
Atmos. Meas. Tech., 15, 2433–2463, https://doi.org/10.5194/amt-15-2433-2022, https://doi.org/10.5194/amt-15-2433-2022, 2022
Short summary
Short summary
Space-borne greenhouse gas missions require ground-based validation networks capable of providing fiducial reference measurements. Here, considerable refinements of the calibration procedures for the COllaborative Carbon Column Observing Network (COCCON) are presented. Laboratory and solar side-by-side procedures for the characterization of the spectrometers have been refined and extended. Revised calibration factors for XCO2, XCO and XCH4 are provided, incorporating 47 new spectrometers.
Cited articles
Albergel, C., Dutra, E., Munier, S., Calvet, J.-C., Munoz-Sabater, J., de Rosnay, P., and Balsamo, G.: ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better?, Hydrol. Earth Syst. Sci., 22, 3515–3532, https://doi.org/10.5194/hess-22-3515-2018, 2018.
Altstädter, B., Platis, A., Jähn, M., Baars, H., Lückerath, J., Held, A., Lampert, A., Bange, J., Hermann, M., and Wehner, B.: Airborne observations of newly formed boundary layer aerosol particles under cloudy conditions, Atmos. Chem. Phys., 18, 8249–8264, https://doi.org/10.5194/acp-18-8249-2018, 2018.
Barragan, R., Molero, F., Granados-Muñoz, M., Salvador, P., Artíñano, B., and Pujadas, M.: Feasibility of Ceilometers Data to Estimate Radiative Forcing Values: Application to Different Conditions around the COVID-19 Lockdown Period, Remote Sens.-Basel, 12, 3699, https://doi.org/10.3390/rs12223699, 2020.
Bellini, A., Diémoz, H., Gobbi, G. P., Di Liberto, L., Bracci, A., and Barnaba, F.: Aerosols in the Mixed Layer and Mid-Troposphere from Long-Term Data of the Italian Automated Lidar-Ceilometer Network (ALICENET) and Comparison with the ERA5 and CAMS Models, Remote Sens.-Basel, 17, 372, https://doi.org/10.3390/rs17030372, 2025.
Bi, J., Shi, J., Xie, Y., Liu, Y., Takamura, T., and Khatri, P.: Dust Aerosol Characteristics and Shortwave Radiative Impact at a Gobi Desert of Northwest China during the Spring of 2012, J. Meteorol. Soc. Jpn., 92A, 33–56, https://doi.org/10.2151/jmsj.2014-A03, 2014.
Bi, J., Huang, J., Shi, J., Hu, Z., Zhou, T., Zhang, G., Huang, Z., Wang, X., and Jin, H.: Measurement of scattering and absorption properties of dust aerosol in a Gobi farmland region of northwestern China – a potential anthropogenic influence, Atmos. Chem. Phys., 17, 7775–7792, https://doi.org/10.5194/acp-17-7775-2017, 2017.
Boselli, A., Armenante, M., D'Avino, L., D'Isidoro, M., Pisani, G., Spinelli, N., and Wang, X.: Atmospheric Aerosol Characterization Over Naples During 2000–2003 EARLINET Project: Planetary Boundary-Layer Evolution and Layering, Bound.-Lay. Meteorol., 132, 151–165, https://doi.org/10.1007/s10546-009-9382-6, 2009.
Bran, S., Jose, S., and Srivastava, R.: Investigation of optical and radiative properties of aerosols during an intense dust storm: A regional climate modeling approach, J. Atmos. Sol.-Terr. Phy., 168, 21–31, https://doi.org/10.1016/j.jastp.2018.01.003, 2018.
Cacciani, M., Kossmann, M., Knievel, J. C., Giovannini, L., Gutmann, E. D., and Zardi, D.: Meteorological Applications Benefiting from an Improved Understanding of Atmospheric Exchange Processes over Mountains, Atmosphere-Basel, 9, 371, https://doi.org/10.3390/atmos9100371, 2018.
Che, H., Xia, X., Zhao, H., Li, L., Gui, K., Zheng, Y., Song, J., Qi, B., Zhu, J., Miao, Y., Wang, Y., Wang, Z., Wang, H., Dubovik, O., Holben, B., Chen, H., Shi, G., and Zhang, X.: Aerosol optical and radiative properties and their environmental effects in China: A review, Earth-Sci. Rev., 248, 104634, https://doi.org/10.1016/j.earscirev.2023.104634, 2024.
Chen, Q., Yin, Y., Jin, L.-j., Xiao, H., and Zhu, S.-c.: The effect of aerosol layers on convective cloud microphysics and precipitation, Atmos. Res., 101, 327–340, https://doi.org/10.1016/j.atmosres.2011.03.007, 2011.
Cheng, Y., Dai, T., Li, J., and Shi, G.: Measurement Report: Determination of aerosol vertical features on different timescales over East Asia based on CATS aerosol products, Atmos. Chem. Phys., 20, 15307–15322, https://doi.org/10.5194/acp-20-15307-2020, 2020a.
Dang, J., Xie, X., and Wen, X.: Evaluation of Boundary Layer Characteristics at Mount Si'e Based on UAV and Lidar Data, Remote Sens.-Basel, 16, 3816, https://doi.org/10.3390/rs16203816, 2024.
De Wekker, S. F. J., Kossmann, M., Knievel, J. C., Giovannini, L., Gutmann, E. D., and Zardi, D.: Meteorological Applications Benefiting from an Improved Understanding of Atmospheric Exchange Processes over Mountains, Atmosphere-Basel, 9, 371, https://doi.org/10.3390/atmos9100371, 2018.
DeRepentigny, P.: When fire and ice meet, Nat. Clim. Change, 14, 1224–1225, https://doi.org/10.1038/s41558-024-02183-z, 2024.
Diya, M., Kuppili, S. K., and Nagendra, S. M. S.: Air quality in different urban hotspots in a metropolitan city in India and the environmental implication, Environ. Monit. Assess., 196, https://doi.org/10.1007/s10661-024-13272-z, 2024.
Dong, Q., Huang, Z., Li, W., Li, Z., Song, X., Liu, W., Wang, T., Jianrong, B., and Shi, J.: Polarization Lidar Measurements of Dust Optical Properties at the Junction of the Taklimakan Desert–Tibetan Plateau, Remote Sens.-Basel, 14, 558, https://doi.org/10.3390/rs14030558, 2022.
Du, Q., Zhao, C., Zhang, M., Dong, X., Chen, Y., Liu, Z., Hu, Z., Zhang, Q., Li, Y., Yuan, R., and Miao, S.: Modeling diurnal variation of surface PM2.5 concentrations over East China with WRF-Chem: impacts from boundary-layer mixing and anthropogenic emission, Atmos. Chem. Phys., 20, 2839–2863, https://doi.org/10.5194/acp-20-2839-2020, 2020.
Dubovik, O., Holben, B., Eck, T. F., Smirnov, A., Kaufman, Y. J., King, M. D., Tanré, 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.
Feng, X., Zhang, Z., Guo, J., and Wang, S.: Multilayer inversion formation and evolution during persistent heavy air pollution events in the Sichuan Basin, China, Atmos. Res., 286, 106691, https://doi.org/10.1016/j.atmosres.2023.106691, 2023.
Fountoulakis, I., Papachristopoulou, K., Proestakis, E., Amiridis, V., Kontoes, C., and Kazadzis, S.: Effect of Aerosol Vertical Distribution on the Modeling of Solar Radiation, Remote Sens.-Basel, 14, 1143, https://doi.org/10.3390/rs14051143, 2022.
Gan, Y., Zhang, Z., Chu, W., Ding, J., and Ren, Y.: Assessment and prediction of dust emissions, deposition and radiation forcing in Central Asia, Atmos. Chem. Phys., 26, 3881–3900, https://doi.org/10.5194/acp-26-3881-2026, 2026.
Guo, J., Yin, Y., Xu, M., Wu, J., Liu, D., Fan, W., and Lu, P.: Numerical study of aerosol radiative forcing over East Asia and the impacts of cloud coverage and relative humidity, Atmos. Res., 273, 106168, https://doi.org/10.1016/j.atmosres.2022.106168, 2022.
Guo, Z., Wang, N., Shen, B., Gu, Z., Wu, Y., and Chen, A.: Recent Spatiotemporal Trends in Glacier Snowline Altitude at the End of the Melt Season in the Qilian Mountains, China, Remote Sens.-Basel, 13, 4935, https://doi.org/10.3390/rs13234935, 2021.
Haeffelin, M., Ribaud, J.-F., Céspedes, J., Dupont, J.-C., Lemonsu, A., Masson, V., Nagel, T., and Kotthaus, S.: Impact of boundary layer stability on urban park cooling effect intensity, Atmos. Chem. Phys., 24, 14101–14122, https://doi.org/10.5194/acp-24-14101-2024, 2024.
Hara, K., Takashima, H., Yoshino, A., Takami, A., Nishita-Hara, C., Fujiyoshi, Y., and Hayashi, M.: Seasonal variations of diurnal cycles of aerosols and gases in the Fukuoka Plain, Japan: Effects of local meteorology and atmospheric chemistry, Atmos. Environ., 289, https://doi.org/10.1016/j.atmosenv.2022.119318, 2022.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on single levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.adbb2d47, 2023.
Holben, B. N., Eck, T. F., Slutsker, I., Tanré, D., Buis, J. P., Setzer, A., Vermote, E., Reagan, J. A., Kaufman, Y. J., Nakajima, T., Lavenu, F., Jankowiak, I., and Smirnov, A.: AERONET – A Federated Instrument Network and Data Archive for Aerosol Characterization, Remote Sens. Environ., 66, 1–16, https://doi.org/10.1016/S0034-4257(98)00031-5, 1998.
Hou, X., Fei, D., Kang, H., Zhang, Y., and Gao, J.: Seasonal statistical analysis of the impact of meteorological factors on fine particle pollution in China in 2013–2017, Nat. Hazards, 93, 677–698, https://doi.org/10.1007/s11069-018-3315-y, 2018.
Houze Jr., R. A.: Mesoscale convective systems, Reviews of Geophysics, 42, https://doi.org/10.1029/2004RG000150, 2004.
Hu, Y., Yu, H., Kang, S., Yang, J., Rai, M., Yin, X., Chen, X., and Chen, P.: Aerosol–meteorology feedback diminishes the transboundary transport of black carbon into the Tibetan Plateau, Atmos. Chem. Phys., 24, 85–107, https://doi.org/10.5194/acp-24-85-2024, 2024.
Huang, J., Fu, Q., Su, J., Tang, Q., Minnis, P., Hu, Y., Yi, Y., and Zhao, Q.: Taklimakan dust aerosol radiative heating derived from CALIPSO observations using the Fu-Liou radiation model with CERES constraints, Atmos. Chem. Phys., 9, 4011–4021, https://doi.org/10.5194/acp-9-4011-2009, 2009.
Huang, J., Wang, T., Wencai, W., Li, Z., and Yan, H.: Climate effects of dust aerosols over East Asian arid and semiarid regions, J. Geophys. Res.-Atmos., 119, https://doi.org/10.1002/2014JD021796, 2014.
Huang, Z., Huang, J., Jianrong, B., Wang, T., Zhou, T., Dong, Q., Shi, J., Qiantao, L., Li, W., Li, Z., Song, X., Liu, W., Wang, H., and Niu, Z.: Dust observation by a ground-based lidar network along the global dust belt, E3S Web Conf., 575, 02006, https://doi.org/10.1051/e3sconf/202457502006, 2024.
Huang, Z., Dong, Q., Zhou, T., Jianrong, B., Chen, R., Qiantao, L., Abdullaev, S., Nozirov, D., Alam, K., Wang, T., Li, W., Li, Z., Song, X., and Liu, W.: Vertical distribution, optical properties, and source attribution of summer dust in southern Tajikistan: ground-based observations and model results, Atmos. Environ., 361, 121514, https://doi.org/10.1016/j.atmosenv.2025.121514, 2025.
Huige, D., Siwen, L., Yun, Y., Dengxin, H., and Jianyu, W.: Observational study of the vertical aerosol and meteorological factor distributions with respect to particulate pollution in Xi'an, Atmos. Environ., 247, 118215, https://doi.org/10.1016/j.atmosenv.2021.118215, 2021.
Huszar, P., Karlický, J., Ďoubalová, J., Šindelářová, K., Nováková, T., Belda, M., Halenka, T., Žák, M., and Pišoft, P.: Urban canopy meteorological forcing and its impact on ozone and PM2.5: role of vertical turbulent transport, Atmos. Chem. Phys., 20, 1977–2016, https://doi.org/10.5194/acp-20-1977-2020, 2020.
Jangid, M., Sankhla, T. S., Singh, S., and Mishra, A. K.: Radiative effect of atmospheric Brown clouds over the Indo-Gangetic plain, Atmos. Pollut. Res., 15, 102085, https://doi.org/10.1016/j.apr.2024.102085, 2024.
Jia, S., Sarkar, S., Zhang, Q., Wang, X., Wu, L., Chen, W., Huang, M., Zhou, S., Zhang, J., Yuan, L., and Yang, L.: Characterization of diurnal variations of PM2.5 acidity using an open thermodynamic system: A case study of Guangzhou, China, Chemosphere, 202, 677–685, https://doi.org/10.1016/j.chemosphere.2018.03.127, 2018.
Jian, B., Ma, Z., Liu, Q., Li, Z., Deng, L., Nie, H., Liu, C., Zhao, C., Sun, J., and Shen, X.: An advanced double-moment cloud microphysics scheme with explicit aerosol-cloud interactions and its performance in quantitative precipitation forecasting (QPF) in the CMA-MESO V5.0, Atmos. Res., 108649, https://doi.org/10.1016/j.atmosres.2025.108649, 2025.
Jin, H.-G., Baik, J.-J., Lee, H., and Ahmed, T.: A new warm-cloud collection and breakup parameterization scheme for weather and climate models, Atmos. Res., 272, 106145, https://doi.org/10.1016/j.atmosres.2022.106145, 2022.
Jung, J., Yu, J., Lyu, Y., Lee, M., Hwang, T., and Lee, S.: Ground-based characterization of aerosol spectral optical properties of haze and Asian dust episodes under Asian continental outflow during winter 2014, Atmos. Chem. Phys., 17, 5297–5309, https://doi.org/10.5194/acp-17-5297-2017, 2017.
Lal, D. M., Umakanth, N., Domkawale, M. A., Gopalakrishnan, V., Srivastava, M. K., and Pawar, S. D.: Association of lightning with LCL, EL, humidity at 850 mb and at 200 mb during various CAPE, over northern India, Sci. Total Environ., 915, 169947, https://doi.org/10.1016/j.scitotenv.2024.169947, 2024.
Li, C., Li, J., Dubovik, O., Zeng, Z.-C., and Yung, Y. L.: Impact of Aerosol Vertical Distribution on Aerosol Optical Depth Retrieval from Passive Satellite Sensors, Remote Sens.-Basel, 12, 1524, https://doi.org/10.3390/rs12091524, 2020.
Li, H., Liu, B. M., Ma, X., Ma, Y. Y., Jin, S. K., Fan, R. N., Wang, W. Y., Fang, J., Zhao, Y. F., and Gong, W.: The Influence of Temperature Inversion on the Vertical Distribution of Aerosols, Remote Sens.-Basel, 14, https://doi.org/10.3390/rs14184428, 2022.
Li, J., Li, C. C., Guo, J. P., Li, J., Tan, W. S., Kang, L., Chen, D. D., Song, T., and Liu, L.: Retrieval of aerosol profiles by Raman lidar with dynamic determination of the lidar equation reference height, Atmos. Environ., 199, 252–259, https://doi.org/10.1016/j.atmosenv.2018.11.048, 2019.
Li, J., Gao, W., Cao, L., Xiao, Y., Zhang, Y., Zhao, S., Liu, Z., Liu, Z., Tang, G., Ji, D., Hu, B., Song, T., He, L., Hu, M., and Wang, Y.: Significant changes in autumn and winter aerosol composition and sources in Beijing from 2012 to 2018: Effects of clean air actions, Environ. Pollut., 268, 115855, https://doi.org/10.1016/j.envpol.2020.115855, 2021a.
Li, Q., Yang, S., Cui, X.-P., and Gao, S.-T.: Investigating the initiation and propagation processes of convection in heavy precipitation over the western Sichuan Basin, Atmospheric and Oceanic Science Letters, 10, 235–242, https://doi.org/10.1080/16742834.2017.1301766, 2017.
Li, Q., Zhang, H., Cai, X., Song, Y., and Zhu, T.: The impacts of the atmospheric boundary layer on regional haze in North China, npj Climate and Atmospheric Science, 4, 9, https://doi.org/10.1038/s41612-021-00165-y, 2021b.
Li, Z., Huang, Z., Bi, J., Dong, Q., Wang, Y., Abdullaev, S. F., Nozirov, D., Li, W., Li, Z., Meng, Z., Liu, W., and Song, X.: Radiative forcing and vertical heating rate of dust aerosols in southwestern Tajikistan during summer 2023, Atmos. Environ., 345, 121051, https://doi.org/10.1016/j.atmosenv.2025.121051, 2025.
Liang, Y., Che, H., Wang, H., Zhang, W., Li, L., Zheng, Y., Gui, K., Zhang, P., and Zhang, X.: Aerosols Direct Radiative Effects Combined Ground-Based Lidar and Sun-Photometer Observations: Cases Comparison between Haze and Dust Events in Beijing, Remote Sens.-Basel, 14, 266, https://doi.org/10.3390/rs14020266, 2022.
Liu, S., Xing, J., Zhao, B., Wang, J., Wang, S., Zhang, X., and Ding, A.: Understanding of Aerosol–Climate Interactions in China: Aerosol Impacts on Solar Radiation, Temperature, Cloud, and Precipitation and Its Changes Under Future Climate and Emission Scenarios, Current Pollution Reports, 5, 36–51, https://doi.org/10.1007/s40726-019-00107-6, 2019.
Liu, S. H., Wang, H. L., Zhao, D. L., Ke, Y., Wu, Z. H., Shen, L. J., and Zhao, T. L.: Aircraft observations of aerosols and BC in autumn over Guangxi Province, China: Diurnal variation, vertical distribution and source appointment, Sci. Total Environ., 906, https://doi.org/10.1016/j.scitotenv.2023.167550, 2024.
Luo, H., Guan, Q., Shao, W., Du, Q., Xiao, X., Ni, F., and Zhang, J.: Quantifying the contribution of dust sources in the arid area of northwest China using multivariate statistical techniques and Bayesian mixing models, J. Clean. Prod., 379, 134672, https://doi.org/10.1016/j.jclepro.2022.134672, 2022.
Manavi, S. E. I., Aktypis, A., Siouti, E., Skyllakou, K., Myriokefalitakis, S., Kanakidou, M., and Pandis, S. N.: Atmospheric aerosol spatial variability: Impacts on air quality and climate change, One Earth, 8, 101237, https://doi.org/10.1016/j.oneear.2025.101237, 2025.
Marsli, I., Makaoui, A., Moussaoui, M., Mezrhab, A., and Diouri, M.: Analysis of aerosol optical properties and implications to radiative forcing over the Mediterranean Basin, E3S Web Conf., 680, 00137, https://doi.org/10.1051/e3sconf/202568000137, 2025.
Mazza, E. and Chen, S. S.: Compound Dry-Dusty Air Intrusions During the Genesis of Tropical Storm Kate (2021): Observations From the CPEX-AW Field Campaign and Coupled Modeling, J. Geophys. Res.-Atmos., 130, e2024JD042653, https://doi.org/10.1029/2024JD042653, 2025.
Meng, L., He, Q., Zhao, T., Zhang, H., Yang, X., Mamtimin, A., Yang, F., Zhou, C., and Huo, W.: Interactions between dust aerosols and the ultra-high atmospheric boundary layer: Case study of vertical observation over the Taklimakan Desert, China, Atmos. Environ., 343, 120977, https://doi.org/10.1016/j.atmosenv.2024.120977, 2025.
Nogueira, M.: Inter-comparison of ERA-5, ERA-interim and GPCP rainfall over the last 40 years: Process-based analysis of systematic and random differences, J. Hydrol., 583, 124632, https://doi.org/10.1016/j.jhydrol.2020.124632, 2020.
Noh, Y. M., Lee, H., Mueller, D., Lee, K., Shin, D., Shin, S., Choi, T. J., Choi, Y. J., and Kim, K. R.: Investigation of the diurnal pattern of the vertical distribution of pollen in the lower troposphere using LIDAR, Atmos. Chem. Phys., 13, 7619–7629, https://doi.org/10.5194/acp-13-7619-2013, 2013.
Pace, G., Junkermann, W., Vitali, L., Di Sarra, A., Meloni, D., Cacciani, M., Cremona, G., Iannarelli, A. M., and Zanini, G.: On the complexity of the boundary layer structure and aerosol vertical distribution in the coastal Mediterranean regions: a case study, Tellus B, https://doi.org/10.3402/tellusb.v67.27721, 2015.
Pal, S., Prince, N., Anand, M., and Hamel, M.: Aerosol transport and associated boundary layer thermodynamics under contrasting synoptic conditions over a semiarid site, Sci. Total Environ., 962, 178357, https://doi.org/10.1016/j.scitotenv.2024.178357, 2025.
Parajuli, S. P., Stenchikov, G. L., Ukhov, A., Shevchenko, I., Dubovik, O., and Lopatin, A.: 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, Atmos. Chem. Phys., 20, 16089–16116, https://doi.org/10.5194/acp-20-16089-2020, 2020.
Park, S. and Allen, R.: Understanding influences of convective transport and removal processes on aerosol vertical distribution, Geophys. Res. Lett., 42, https://doi.org/10.1002/2015GL066175, 2015.
Patashnick, H. and Rupprecht, E. G.: Continuous PM-10 Measurements Using the Tapered Element Oscillating Microbalance, J. Air Waste Manage., 41, 1079–1083, https://doi.org/10.1080/10473289.1991.10466903, 1991.
Petrovic, M., Radonic, J., Mihajlovic, I., Obrovski, B., Ubavin, D., Turk Sekulić, M., and Miloradov, M.: Selection of optimal parameters for future research monitoring programmes on msw landfill in novi sad, Serbia, Fresen. Environ. Bull., 26, 4867–4875, 2017.
Prasad, P., Basha, G., and Ratnam, M. V.: Is the atmospheric boundary layer altitude or the strong thermal inversions that control the vertical extent of aerosols?, Sci. Total Environ., 802, https://doi.org/10.1016/j.scitotenv.2021.149758, 2022.
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, 575–578, https://doi.org/10.1038/nature06019, 2007.
Reddy, K., Phanikumar, D. V., Joshi, H., Nazeer Ahammed, Y., and Naja, M.: Effect of diurnal variation of aerosols on surface reaching solar radiation, J. Atmos. Sol.-Terr. Phy., 129, 62–68, https://doi.org/10.1016/j.jastp.2015.04.011, 2015.
Ricchiazzi, P., Yang, S., Gautier, C., and Sowle, D.: SBDART: A Research and Teaching Software Tool for Plane-Parallel Radiative Transfer in the Earth's Atmosphere, B. Am. Meteorol. Soc., 79, 2101–2114, https://doi.org/10.1175/1520-0477(1998)079<2101:SARATS>2.0.CO;2, 1998.
Sarangi, C., Qian, Y., Rittger, K., Ruby Leung, L., Chand, D., Bormann, K. J., and Painter, T. H.: Dust dominates high-altitude snow darkening and melt over high-mountain Asia, Nat. Clim. Change, 10, 1045–1051, https://doi.org/10.1038/s41558-020-00909-3, 2020.
Seo, J., Kim, J. Y., Youn, D., Lee, J. Y., Kim, H., Lim, Y. B., Kim, Y., and Jin, H. C.: On the multiday haze in the Asian continental outflow: the important role of synoptic conditions combined with regional and local sources, Atmos. Chem. Phys., 17, 9311–9332, https://doi.org/10.5194/acp-17-9311-2017, 2017.
Serafin, S., Adler, B., Cuxart, J., De Wekker, S., Gohm, A., Grisogono, B., Kalthoff, N., Kirshbaum, D., Rotach, M., Schmidli, J., Stiperski, I., Večenaj, Ž., and Zardi, D.: Exchange Processes in the Atmospheric Boundary Layer Over Mountainous Terrain, Atmosphere-Basel, 9, 102, https://doi.org/10.3390/atmos9030102, 2018.
Shivkumar, M., Dhanya, G., Ganesh, K. E., Pranesha, T. S., Sudhindra, K. R., Chate, D., and Beig, G.: Temporal variability of PM2.5 and its possible sources at the tropical megacity, Bengaluru, India, Environ. Monit. Assess., 194, https://doi.org/10.1007/s10661-022-10235-0, 2022.
Smirnov, A., Holben, B. N., Eck, T. F., Slutsker, I., Chatenet, B., and Pinker, R. T.: Diurnal variability of aerosol optical depth observed at AERONET (Aerosol Robotic Network) sites, Geophys. Res. Lett., 29, https://doi.org/10.1029/2002gl016305, 2002.
Song, J., Xia, X., Che, H., Wang, J., Zhang, X., and Li, X.: Daytime variation of aerosol optical depth in North China and its impact on aerosol direct radiative effects, Atmos. Environ., 182, 31–40, https://doi.org/10.1016/j.atmosenv.2018.03.024, 2018.
Song, X., Zhou, T., Wang, Y., Li, X., Wu, D., Gu, Y., Lin, Z., Abdullaev, S., and Amonov, M.: Spatiotemporal evolution of dust over Tarim Basin under continuous clear-sky, Atmos. Res., 312, 107764, https://doi.org/10.1016/j.atmosres.2024.107764, 2024.
Stein, A., Draxler, R., Rolph, G., Stunder, B., Cohen, M., and Ngan, F.: NOAA's HYSPLIT Atmospheric Transport and Dispersion Modeling System, B. Am. Meteorol. Soc., 96, 2059–2077, https://doi.org/10.1175/BAMS-D-14-00110.1, 2016.
Su, B., Li, H., Zhang, M., Bilal, M., Wang, M., Atique, L., Zhang, Z., Zhang, C., Han, G., Qiu, Z., and Ali, M. A.: Optical and Physical Characteristics of Aerosol Vertical Layers over Northeastern China, Atmosphere-Basel, 11, 501, https://doi.org/10.3390/atmos11050501, 2020a.
Su, T., Li, Z., Li, C., Li, J., Han, W., Shen, C., Tan, W., Wei, J., and Guo, J.: The significant impact of aerosol vertical structure on lower atmosphere stability and its critical role in aerosol–planetary boundary layer (PBL) interactions, Atmos. Chem. Phys., 20, 3713–3724, https://doi.org/10.5194/acp-20-3713-2020, 2020b.
Sun, T., Che, H., Qi, B., Wang, Y., Dong, Y., Xia, X., Wang, H., Gui, K., Zheng, Y., Zhao, H., Ma, Q., Du, R., and Zhang, X.: Aerosol optical characteristics and their vertical distributions under enhanced haze pollution events: effect of the regional transport of different aerosol types over eastern China, Atmos. Chem. Phys., 18, 2949–2971, https://doi.org/10.5194/acp-18-2949-2018, 2018.
Tutsak, E. and Koçak, M.: Optical and microphysical properties of the columnar Aerosol burden over the Eastern Mediterranean: Discrimination of Aerosol types, Atmos. Environ., 229, 117463, https://doi.org/10.1016/j.atmosenv.2020.117463, 2020.
Valenzuela, A., Costa, M. J., Rascado, J. L., Bortoli, D., and Olmo, F.: Solar and thermal radiative effects during the 2011 extreme desert dust episode over Portugal, Atmos. Environ., 148, https://doi.org/10.1016/j.atmosenv.2016.10.037, 2016.
Wang, X., Liu, M., Luo, L., Chen, X., Zhang, Y., Zhang, H., Yang, S., and Li, Y.: Spatial and Temporal Distributions of Air Pollutants in Nanchang, Southeast China during 2017–2020, Atmosphere-Basel, 12, 1298, https://doi.org/10.3390/atmos12101298, 2021.
Wang, Y., Yu, M., Wang, Y., Tang, G., Song, T., Zhou, P., Liu, Z., Hu, B., Ji, D., Wang, L., Zhu, X., Yan, C., Ehn, M., Gao, W., Pan, Y., Xin, J., Sun, Y., Kerminen, V.-M., Kulmala, M., and Petäjä, T.: Rapid formation of intense haze episodes via aerosol–boundary layer feedback in Beijing, Atmos. Chem. Phys., 20, 45–53, https://doi.org/10.5194/acp-20-45-2020, 2020.
Wang, Y., Zhou, T., Song, X., Li, X., Wu, D., Gu, Y., Wang, J., Wei, L., Lin, Z., Chen, R., and Gong, C.: The Role of Nocturnal Low-Level Jets on Persistent Floating Dust over the Tarim Basin, Atmosphere-Basel, 17, 134, https://doi.org/10.3390/atmos17020134, 2026.
Wang, Y. H., Liu, Z. R., Zhang, J. K., Hu, B., Ji, D. S., Yu, Y. C., and Wang, Y. S.: Aerosol physicochemical properties and implications for visibility during an intense haze episode during winter in Beijing, Atmos. Chem. Phys., 15, 3205–3215, https://doi.org/10.5194/acp-15-3205-2015, 2015.
Wen, Q., Li, Y., Du, M., Song, W., Wei, L., Wang, Z., and Li, X.: Interdecadal shift in the impact of winter land–sea thermal contrasts on following spring transcontinental dust transport pathways in North Africa, Atmos. Chem. Phys., 25, 10853–10867, https://doi.org/10.5194/acp-25-10853-2025, 2025.
Xiang, Y., Zhang, T., Liu, J., Wan, X., Loewen, M., Chen, X., Kang, S., Fu, Y., Lv, L., Liu, W., and Cong, Z.: Vertical profile of aerosols in the Himalayas revealed by lidar: New insights into their seasonal/diurnal patterns, sources, and transport, Environ. Pollut., 285, https://doi.org/10.1016/j.envpol.2021.117686, 2021.
Xie, H., Zhou, T., Fu, Q., Huang, J., Huang, Z., Jianrong, B., Shi, J., Zhang, B., and Ge, J.: Automated detection of cloud and aerosol features with SACOL micro-pulse lidar in northwest China, Opt. Express, 25, 30732, https://doi.org/10.1364/OE.25.030732, 2017.
Yang, L., Zhou, T., Yang, X., Huang, Z., Wang, L., Li, X., Yang, Y., and Tao, H.: Study on a sand and dust process based on lidar network, Journal of Atmospheric and Environmental Optics, 20, 752–765, https://doi.org/10.3969/j.issn.1673-6141.2025.06.006, 2025.
Yang, X., Peng, J., Liu, B., and Liu, Y.: Multi-Scale Analysis of Grain Size in the Component Structures of Sediments Accumulated along the Desert-Loess Transition Zone of the Tengger Desert and Implications for Sources and Aeolian Dust Transportation, Atmosphere-Basel, 15, 239, https://doi.org/10.3390/atmos15020239, 2024.
Yim, S. H. L. and Huang, T.: Analysis of the air quality in upper atmospheric boundary layer in a high-density city in Asia using 3 year vertical profiles measured by the 3-Dimensional Real-Time Atmospheric Monitoring System (3DREAMS), Sci. Total Environ., 857, https://doi.org/10.1016/j.scitotenv.2022.159137, 2023.
Yorks, J. E., Wang, J., McGill, M. J., Follette-Cook, M., Nowottnick, E. P., Reid, J. S., Colarco, P. R., Zhang, J., Kalashnikova, O., Yu, H., Marenco, F., Santanello, J. A., Weckwerth, T. M., Li, Z., Campbell, J. R., Yang, P., Diao, M., Noel, V., Meyer, K. G., Carr, J. L., Garay, M., Christian, K., Bennedetti, A., Ring, A. M., Crawford, A., Pavolonis, M. J., Aquila, V., Kim, J., and Kondragunta, S.: A SmallSat Concept to Resolve Diurnal and Vertical Variations of Aerosols, Clouds, and Boundary Layer Height, B. Am. Meteorol. Soc., 104, E815–E836, https://doi.org/10.1175/BAMS-D-21-0179.1, 2023.
Zhang, Q., Zhao, Y.-d., Wang, S., and Ma, F.: A Study on Atmospheric Thermal Boundary Layer Structure in Extremely Arid Desert and Gobi Region on the Clear Day in Summer, Advances in Earth Science, 22, 1150, http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2007.11.1150, 2007.
Zhang, Q., Hu, W., Ren, H., Yang, J., Deng, J., Wang, D., Sun, Y., Wang, Z., Kawamura, K., and Fu, P.: Diurnal variations in primary and secondary organic aerosols in an eastern China coastal city: The impact of land-sea breezes, Environ. Pollut., 319, https://doi.org/10.1016/j.envpol.2023.121016, 2023a.
Zhang, X. L., Zheng, Y., Che, H. Z., Gui, K., Li, L., Zhao, H. J., Liang, Y. X., Yao, W. R., Zhang, X. D., Zhao, H. H., Lu, Y. T., and Zhang, X. Y.: Seasonal and Diurnal Characteristics of the Vertical Profile of Aerosol Optical Properties in Urban Beijing, 2017–2021, Remote Sens.-Basel, 15, https://doi.org/10.3390/rs15020475, 2023b.
Zhao, C., Sun, Y., Yang, J., Li, J., Zhou, Y., Yang, Y., Fan, H., and Zhao, X.: Observational evidence and mechanisms of aerosol effects on precipitation, Sci. Bull., 69, 1569–1580, https://doi.org/10.1016/j.scib.2024.03.014, 2024.
Zhong, J., Zhang, X., Dong, Y., Wang, Y., Liu, C., Wang, J., Zhang, Y., and Che, H.: Feedback effects of boundary-layer meteorological factors on cumulative explosive growth of PM2.5 during winter heavy pollution episodes in Beijing from 2013 to 2016, Atmos. Chem. Phys., 18, 247–258, https://doi.org/10.5194/acp-18-247-2018, 2018.
Zhou, T., Xie, H., Jianrong, B., Huang, Z., Huang, J., Shi, J., Zhang, B., and Zhang, W.: Lidar Measurements of Dust Aerosols during Three Field Campaigns in 2010, 2011 and 2012 over Northwestern China, Atmosphere-Basel, 9, https://doi.org/10.3390/atmos9050173, 2018.
Zhou, T., Xie, H., Jiang, T., Huang, J., Bi, J., Huang, Z., and Shi, J.: Seasonal characteristics of aerosol vertical structure and autumn enhancement of non-spherical particle over the semi-arid region of northwest China, Atmos. Environ., 244, 117912, https://doi.org/10.1016/j.atmosenv.2020.117912, 2021.
Zhou, T., Zhou, X., Yang, Z., Córdoba-Jabonero, C., Wang, Y., Huang, Z., Pengbo, D., Luo, Q., Zhang, Z., Shi, J., Jianrong, B., and Ali-Khodja, H.: Transboundary transport of non-east and East Asian dust observed at Dunhuang, northwest China, Atmos. Environ., https://doi.org/10.1016/j.atmosenv.2023.120197, 2024.
Short summary
This study examined high-altitude airborne particles over the Hexi Corridor using field observations. Such particles commonly accumulate 0.6–2 km aloft. Dunhuang features natural dust, while Minqin is dominated by human pollutants. Upper-level pollution is five times higher than that on the ground. These trapped particles warm the air and may accelerate glacier melting. This work suggests that high-altitude pollution should not be overlooked to better protect fragile local environments.
This study examined high-altitude airborne particles over the Hexi Corridor using field...
Altmetrics
Final-revised paper
Preprint