Articles | Volume 17, issue 10
https://doi.org/10.5194/acp-17-6215-2017
https://doi.org/10.5194/acp-17-6215-2017
Technical note
 | 
22 May 2017
Technical note |  | 22 May 2017

Technical note: Boundary layer height determination from lidar for improving air pollution episode modeling: development of new algorithm and evaluation

Ting Yang, Zifa Wang, Wei Zhang, Alex Gbaguidi, Nobuo Sugimoto, Xiquan Wang, Ichiro Matsui, and Yele Sun

Related authors

NAQPMS-PDAF v2.0: A Novel Hybrid Nonlinear Data Assimilation System for Improved Simulation of PM2.5 Chemical Components
Hongyi Li, Ting Yang, Lars Nerger, Dawei Zhang, Di Zhang, Guigang Tang, Haibo Wang, Yele Sun, Pingqing Fu, Hang Su, and Zifa Wang
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-78,https://doi.org/10.5194/gmd-2024-78, 2024
Preprint under review for GMD
Short summary
Frequent haze events associated with transport and stagnation over the corridor between the North China Plain and Yangtze River Delta
Feifan Yan, Hang Su, Yafang Cheng, Rujin Huang, Hong Liao, Ting Yang, Yuanyuan Zhu, Shaoqing Zhang, Lifang Sheng, Wenbin Kou, Xinran Zeng, Shengnan Xiang, Xiaohong Yao, Huiwang Gao, and Yang Gao
Atmos. Chem. Phys., 24, 2365–2376, https://doi.org/10.5194/acp-24-2365-2024,https://doi.org/10.5194/acp-24-2365-2024, 2024
Short summary
An ensemble method for improving the estimation of planetary boundary layer height from radiosonde data
Xi Chen, Ting Yang, Zifa Wang, Futing Wang, and Haibo Wang
Atmos. Meas. Tech., 16, 4289–4302, https://doi.org/10.5194/amt-16-4289-2023,https://doi.org/10.5194/amt-16-4289-2023, 2023
Short summary
Algorithm for vertical distribution of boundary layer aerosol components in remote-sensing data
Futing Wang, Ting Yang, Zifa Wang, Haibo Wang, Xi Chen, Yele Sun, Jianjun Li, Guigang Tang, and Wenxuan Chai
Atmos. Meas. Tech., 15, 6127–6144, https://doi.org/10.5194/amt-15-6127-2022,https://doi.org/10.5194/amt-15-6127-2022, 2022
Short summary
An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application
Haibo Wang, Ting Yang, Zifa Wang, Jianjun Li, Wenxuan Chai, Guigang Tang, Lei Kong, and Xueshun Chen
Geosci. Model Dev., 15, 3555–3585, https://doi.org/10.5194/gmd-15-3555-2022,https://doi.org/10.5194/gmd-15-3555-2022, 2022
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Decomposing the effective radiative forcing of anthropogenic aerosols based on CMIP6 Earth system models
Alkiviadis Kalisoras, Aristeidis K. Georgoulias, Dimitris Akritidis, Robert J. Allen, Vaishali Naik, Chaincy Kuo, Sophie Szopa, Pierre Nabat, Dirk Olivié, Twan van Noije, Philippe Le Sager, David Neubauer, Naga Oshima, Jane Mulcahy, Larry W. Horowitz, and Prodromos Zanis
Atmos. Chem. Phys., 24, 7837–7872, https://doi.org/10.5194/acp-24-7837-2024,https://doi.org/10.5194/acp-24-7837-2024, 2024
Short summary
Modeling impacts of dust mineralogy on fast climate response
Qianqian Song, Paul Ginoux, María Gonçalves Ageitos, Ron L. Miller, Vincenzo Obiso, and Carlos Pérez García-Pando
Atmos. Chem. Phys., 24, 7421–7446, https://doi.org/10.5194/acp-24-7421-2024,https://doi.org/10.5194/acp-24-7421-2024, 2024
Short summary
Uncertainties in laboratory-measured shortwave refractive indices of mineral dust aerosols and derived optical properties: a theoretical assessment
Senyi Kong, Zheng Wang, and Lei Bi
Atmos. Chem. Phys., 24, 6911–6935, https://doi.org/10.5194/acp-24-6911-2024,https://doi.org/10.5194/acp-24-6911-2024, 2024
Short summary
Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants
Wenxuan Hua, Sijia Lou, Xin Huang, Lian Xue, Ke Ding, Zilin Wang, and Aijun Ding
Atmos. Chem. Phys., 24, 6787–6807, https://doi.org/10.5194/acp-24-6787-2024,https://doi.org/10.5194/acp-24-6787-2024, 2024
Short summary
Role of atmospheric aerosols in severe winter fog over the Indo-Gangetic Plain of India: a case study
Chandrakala Bharali, Mary Barth, Rajesh Kumar, Sachin D. Ghude, Vinayak Sinha, and Baerbel Sinha
Atmos. Chem. Phys., 24, 6635–6662, https://doi.org/10.5194/acp-24-6635-2024,https://doi.org/10.5194/acp-24-6635-2024, 2024
Short summary

Cited articles

Ansari, A. S., and Pandis, S. N.: Response of inorganic PM to precursor concentrations, Environ. Sci. Technol., 32, 2706–2714, 1998.
Baars, H., Ansmann, A., Engelmann, R., and Althausen, D.: Continuous monitoring of the boundary-layer top with lidar, Atmos. Chem. Phys., 8, 7281–7296, https://doi.org/10.5194/acp-8-7281-2008, 2008.
Boers, R. and Melfi, S. H.: Cold air outbreak during MASEX: Lidar observations and boundary-layer model test, Bound.-Lay. Meteorol., 39, 41–51, https://doi.org/10.1007/bf00121864, 1987.
Chan, C. K. and Yao, X.: Air pollution in mega cities in China, Atmos. Environ., 42, 1–42, https://doi.org/10.1016/j.atmosenv.2007.09.003, 2008.
Dabberdt, W. F., Carroll, M. A., Baumgardner, D., Carmichael, G., Cohen, R., Dye, T., Ellis, J., Grell, G., Grimmond, S., Hanna, S., Irwin, J., Lamb, B., Madronich, S., McQueen, J., Meagher, J., Odman, T., Pleim, J., Schmid, H. P., and Westphal, D. L.: Meteorological Research Needs for Improved Air Quality Forecasting: Report of the 11th Prospectus Development Team of the U.S. Weather Research Program*, B. Am. Meteorol. Soc., 85, 563–586, https://doi.org/10.1175/bams-85-4-563, 2004.
Download
Short summary
Predicting air pollution events over megacities requires, notably, continuous and accurate determination of the boundary layer height (BLH). Based on gravity wave theory, a new approach (CRGM) is developed to overcome existing algorithms' weakness in order to accurately reproduce the fluctuations of the BLH under various atmospheric pollution conditions from lidar observation. Comprehensive evaluation highlights strong effectiveness of this new method.
Altmetrics
Final-revised paper
Preprint