Articles | Volume 24, issue 15
https://doi.org/10.5194/acp-24-8703-2024
https://doi.org/10.5194/acp-24-8703-2024
Research article
 | 
07 Aug 2024
Research article |  | 07 Aug 2024

Elucidating the boundary layer turbulence dissipation rate using high-resolution measurements from a radar wind profiler network over the Tibetan Plateau

Deli Meng, Jianping Guo, Xiaoran Guo, Yinjun Wang, Ning Li, Yuping Sun, Zhen Zhang, Na Tang, Haoran Li, Fan Zhang, Bing Tong, Hui Xu, and Tianmeng Chen

Related authors

A high-resolution divergence and vorticity dataset in Beijing derived from radar wind profiler mesonet measurements
Xiaoran Guo, Jianping Guo, Deli Meng, Yuping Sun, Zhen Zhang, Hui Xu, Liping Zeng, Juan Chen, Ning Li, and Tianmeng Chen
Earth Syst. Sci. Data, 17, 3541–3552, https://doi.org/10.5194/essd-17-3541-2025,https://doi.org/10.5194/essd-17-3541-2025, 2025
Short summary
Low-level atmospheric turbulence dataset in China generated by combining radar wind profiler and radiosonde observations
Deli Meng, Jianping Guo, Juan Chen, Xiaoran Guo, Ning Li, Yuping Sun, Zhen Zhang, Na Tang, Hui Xu, Tianmeng Chen, Rongfang Yang, and Jiajia Hua
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-138,https://doi.org/10.5194/essd-2025-138, 2025
Revised manuscript accepted for ESSD
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Moisture budget estimates derived from airborne observations in an Arctic atmospheric river during its dissipation
Henning Dorff, Florian Ewald, Heike Konow, Mario Mech, Davide Ori, Vera Schemann, Andreas Walbröl, Manfred Wendisch, and Felix Ament
Atmos. Chem. Phys., 25, 8329–8354, https://doi.org/10.5194/acp-25-8329-2025,https://doi.org/10.5194/acp-25-8329-2025, 2025
Short summary
Aerosol–cloud interactions in cirrus clouds based on global-scale airborne observations and machine learning models
Derek Ngo, Minghui Diao, Ryan J. Patnaude, Sarah Woods, and Glenn Diskin
Atmos. Chem. Phys., 25, 7007–7036, https://doi.org/10.5194/acp-25-7007-2025,https://doi.org/10.5194/acp-25-7007-2025, 2025
Short summary
In-cloud characteristics observed in northeastern and midwestern US non-orographic winter storms with implications for ice particle mass growth and residence time
Luke R. Allen, Sandra E. Yuter, Declan M. Crowe, Matthew A. Miller, and K. Lee Thornhill
Atmos. Chem. Phys., 25, 6679–6701, https://doi.org/10.5194/acp-25-6679-2025,https://doi.org/10.5194/acp-25-6679-2025, 2025
Short summary
Vertical profiles of liquid water content in fog layers during the SOFOG3D experiment
Théophane Costabloz, Frédéric Burnet, Christine Lac, Pauline Martinet, Julien Delanoë, Susana Jorquera, and Maroua Fathalli
Atmos. Chem. Phys., 25, 6539–6573, https://doi.org/10.5194/acp-25-6539-2025,https://doi.org/10.5194/acp-25-6539-2025, 2025
Short summary
Quantified ice-nucleating ability of AgI-containing seeding particles in natural clouds
Anna J. Miller, Christopher Fuchs, Fabiola Ramelli, Huiying Zhang, Nadja Omanovic, Robert Spirig, Claudia Marcolli, Zamin A. Kanji, Ulrike Lohmann, and Jan Henneberger
Atmos. Chem. Phys., 25, 5387–5407, https://doi.org/10.5194/acp-25-5387-2025,https://doi.org/10.5194/acp-25-5387-2025, 2025
Short summary

Cited articles

Adler, B. and Kalthoff, N.: Multi-scale transport processes observed in the boundary layer over a mountainous island, Bound.-Lay. Meteorol., 153, 515–537, https://doi.org/10.1007/s10546-014-9957-8, 2014. 
Angel, A. C. and Manoj, M. G.: A novel method of estimating atmospheric boundary layer height using a 205 MHz VHF radar. Sci. Total Environ., 907, 168109, https://doi.org/10.1016/j.scitotenv.2023.168109, 2024. 
Banerjee, T., Brugger, P., De Roo, F., Kröniger, K., Yakir, D., Rotenberg, E., and Mauder, M.: Turbulent transport of energy across a forest and a semiarid shrubland, Atmos. Chem. Phys., 18, 10025–10038, https://doi.org/10.5194/acp-18-10025-2018, 2018. 
Bianco, L., Wilczak, J. M., and White, A. B.: Convective boundary layer depth estimation from wind profilers: Statistical comparison between an automated algorithm and expert estimations, J. Atmos. Ocean. Tech., 25, 1397–1413, https://doi.org/10.1175/2008jtecha981.1, 2008. 
Bodenschatz, E., Malinowski, S. P., Shaw, R. A., and Stratmann, F.: Can we understand clouds without turbulence?, Science, 327, 970–971, https://doi.org/10.1126/science.1185138, 2010. 
Download
Short summary
The turbulence in the planetary boundary layer (PBL) over the Tibetan Plateau (TP) remains unclear. Here we elucidate the vertical profile of and temporal variation in the turbulence dissipation rate in the PBL over the TP based on a radar wind profiler (RWP) network. To the best of our knowledge, this is the first time that the turbulence profile over the whole TP has been revealed. Furthermore, the possible mechanisms of clouds acting on the PBL turbulence structure are investigated.
Share
Altmetrics
Final-revised paper
Preprint