Journal cover Journal topic
Annales Geophysicae An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 1.621 IF 1.621
  • IF 5-year value: 1.614 IF 5-year 1.614
  • CiteScore value: 1.61 CiteScore 1.61
  • SNIP value: 0.900 SNIP 0.900
  • SJR value: 0.910 SJR 0.910
  • IPP value: 1.58 IPP 1.58
  • h5-index value: 24 h5-index 24
  • Scimago H index value: 80 Scimago H index 80
Discussion papers
https://doi.org/10.5194/angeo-2018-114
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-2018-114
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Regular paper 14 Nov 2018

Regular paper | 14 Nov 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Annales Geophysicae (ANGEO).

Statistical variations of lower atmospheric turbulence and roles of inertial gravity waves at a middle latitude radiosonde site

Jian Zhang1,2,3, Shao Dong Zhang1,2,3, Chun Ming Huang1,2,3, Kai Ming Huang1,2,3, Ye Hui Zhang4, Yun Gong1,2,3, and Quan Gan1 Jian Zhang et al.
  • 1School of Electronic Information, Wuhan University, Wuhan, Hubei, People's Republic of China
  • 2Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan, Hubei, People's Republic of China
  • 3State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, People's Republic of China
  • 4College of Hydrometeorology, Nanjing University of Information Science and Technology, Nanjing, People's Republic of China

Abstract. Activities about turbulence and gravity waves are crucial for the understanding of the dynamical processes in the lower atmosphere. Thus, this study presents the long-term variations of turbulence and their associations with the Richardson number Ri and gravity waves by using a high-resolution radiosonde dataset from Miramar Nas (32.8°N, 117.1°W). Seasonal cycles and lognormal distribution are the two main characteristics of turbulence. The amount of turbulence can be increased where Ri exceeds any critical value, which suggests that the threshold Ri may not be an optimal predictor of the existence of turbulence, whereas a low Ri can lead to large and abundant turbulent energy dissipation rates. In general, dissipation rates from the radiosonde quantitatively agree with results from the neighboring MST radar given by Nastrom and Easton (2005), whereas an encouraging argument is reached in terms of the diffusion rate. The propagating gravity waves in the lower atmosphere, especially in the middle troposphere and the tropopause regions, can reduce Ri. Therefore, enhanced turbulent mixing is expected. Other roles of gravity waves in turbulent flow are that breaking waves and the temporal variations of waves may be occasionally transferred to turbulence and can roughly estimate dissipation rates at different heights.

Jian Zhang et al.
Interactive discussion
Status: open (until 16 Jan 2019)
Status: open (until 16 Jan 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Jian Zhang et al.
Jian Zhang et al.
Viewed  
Total article views: 247 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
212 31 4 247 6 5
  • HTML: 212
  • PDF: 31
  • XML: 4
  • Total: 247
  • BibTeX: 6
  • EndNote: 5
Views and downloads (calculated since 14 Nov 2018)
Cumulative views and downloads (calculated since 14 Nov 2018)
Viewed (geographical distribution)  
Total article views: 227 (including HTML, PDF, and XML) Thereof 225 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 13 Dec 2018
Publications Copernicus
Download
Short summary
Turbulence dissipation rate has inter-annual variations and follows a lognormal distribution. The magnitudes of turbulence detected by radiosonde and radar are roughly comparable. Turbulence cannot predicted by instabilities well but trends to be vigorous under the instability condition. The propagating gravity waves in the lower atmosphere can enhance atmospheric instabilities, and the temporal variations of waves can roughly estimate the turbulence dissipation rate at different height.
Turbulence dissipation rate has inter-annual variations and follows a lognormal distribution....
Citation
Share