Articles | Volume 23, issue 11
https://doi.org/10.5194/acp-23-6339-2023
https://doi.org/10.5194/acp-23-6339-2023
Research article
 | 
09 Jun 2023
Research article |  | 09 Jun 2023

Antarctic atmospheric Richardson number from radiosonde measurements and AMPS

Qike Yang, Xiaoqing Wu, Xiaodan Hu, Zhiyuan Wang, Chun Qing, Tao Luo, Pengfei Wu, Xianmei Qian, and Yiming Guo

Related authors

Understanding processes that control dust spatial distributions with global climate models and satellite observations
Mingxuan Wu, Xiaohong Liu, Hongbin Yu, Hailong Wang, Yang Shi, Kang Yang, Anton Darmenov, Chenglai Wu, Zhien Wang, Tao Luo, Yan Feng, and Ziming Ke
Atmos. Chem. Phys., 20, 13835–13855, https://doi.org/10.5194/acp-20-13835-2020,https://doi.org/10.5194/acp-20-13835-2020, 2020
Short summary
Ice particle production in mid-level stratiform mixed-phase clouds observed with collocated A-Train measurements
Damao Zhang, Zhien Wang, Pavlos Kollias, Andrew M. Vogelmann, Kang Yang, and Tao Luo
Atmos. Chem. Phys., 18, 4317–4327, https://doi.org/10.5194/acp-18-4317-2018,https://doi.org/10.5194/acp-18-4317-2018, 2018
Short summary
Marine boundary layer structure as observed by A-train satellites
Tao Luo, Zhien Wang, Damao Zhang, and Bing Chen
Atmos. Chem. Phys., 16, 5891–5903, https://doi.org/10.5194/acp-16-5891-2016,https://doi.org/10.5194/acp-16-5891-2016, 2016
Short summary
Lidar-based remote sensing of atmospheric boundary layer height over land and ocean
T. Luo, R. Yuan, and Z. Wang
Atmos. Meas. Tech., 7, 173–182, https://doi.org/10.5194/amt-7-173-2014,https://doi.org/10.5194/amt-7-173-2014, 2014

Related subject area

Subject: Dynamics | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Uncertainty in parameterized convection remains a key obstacle for estimating surface fluxes of carbon dioxide
Andrew E. Schuh and Andrew R. Jacobson
Atmos. Chem. Phys., 23, 6285–6297, https://doi.org/10.5194/acp-23-6285-2023,https://doi.org/10.5194/acp-23-6285-2023, 2023
Short summary
Divergent convective outflow in large-eddy simulations
Edward Groot and Holger Tost
Atmos. Chem. Phys., 23, 6065–6081, https://doi.org/10.5194/acp-23-6065-2023,https://doi.org/10.5194/acp-23-6065-2023, 2023
Short summary
Modulation of daily PM2.5 concentrations over China in winter by large-scale circulation and climate change
Zixuan Jia, Carlos Ordóñez, Ruth M. Doherty, Oliver Wild, Steven T. Turnock, and Fiona M. O'Connor
Atmos. Chem. Phys., 23, 2829–2842, https://doi.org/10.5194/acp-23-2829-2023,https://doi.org/10.5194/acp-23-2829-2023, 2023
Short summary
Trajectory enhancement of low-earth orbiter thermodynamic retrievals to predict convection: a simulation experiment
Mark T. Richardson, Brian H. Kahn, and Peter Kalmus
EGUsphere, https://doi.org/10.5194/egusphere-2023-97,https://doi.org/10.5194/egusphere-2023-97, 2023
Short summary
Modeling of street-scale pollutant dispersion by coupled simulation of chemical reaction, aerosol dynamics, and CFD
Chao Lin, Yunyi Wang, Ryozo Ooka, Cédric Flageul, Youngseob Kim, Hideki Kikumoto, Zhizhao Wang, and Karine Sartelet
Atmos. Chem. Phys., 23, 1421–1436, https://doi.org/10.5194/acp-23-1421-2023,https://doi.org/10.5194/acp-23-1421-2023, 2023
Short summary

Cited articles

Agabi, A., Aristidi, E., Azouit, M., Fossat, E., Martin, F., Sadibekova, T., Vernin, J., and Ziad, A.: First Whole Atmosphere Nighttime Seeing Measurements at Dome C, Antarctica, Publ. Astron. Soc. Pac., 118, 344–348, https://doi.org/10.1086/498728, 2006. a
AMPS: AMPS full model (WRF) output files in NetCDF format, https://www2.mmm.ucar.edu/rt/amps/information/amps_esg_data_info.html, last access: 1 March 2022. a
AMRC, SSEC, and UW-Madison: Antarctic Meteorological Research Center data sets, ftp://amrc.ssec.wisc.edu/pub, last access: 1 March 2022. a
Argentini, S., Pietroni, I., Mastrantonio, G., Viola, A. P., Dargaud, G., and Petenko, I.: Observations of near surface wind speed, temperature and radiative budget at Dome C, Antarctic Plateau during 2005, Antarct. Sci., 26, 104–112, https://doi.org/10.1017/s0954102013000382, 2013. a
Aristidi, E., Agabi, K., Azouit, M., Fossat, E., Vernin, J., Travouillon, T., Lawrence, J. S., Meyer, C., Storey, J. W. V., Halter, B., Roth, W. L., and Walden, V.: An analysis of temperatures and wind speeds above Dome C, Antarctica, Astron. Astrophys., 430, 739–746, https://doi.org/10.1051/0004-6361:20041876, 2005. a
Download
Short summary
The AMPS-forecasted Richardson number was first comprehensively validated over the Antarctic continent. Some potential underlying reasons for the discrepancies between the forecasts and observations were analyzed. The underlying physical processes of triggering atmospheric turbulence in Antarctica were investigated. Our results suggest that the estimated Richardson number by the AMPS is reasonable and the turbulence conditions in Antarctica are well revealed.
Altmetrics
Final-revised paper
Preprint