Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.248 IF 3.248
  • IF 5-year value: 3.650 IF 5-year
    3.650
  • CiteScore value: 3.37 CiteScore
    3.37
  • SNIP value: 1.253 SNIP 1.253
  • SJR value: 1.869 SJR 1.869
  • IPP value: 3.29 IPP 3.29
  • h5-index value: 47 h5-index 47
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 60 Scimago H
    index 60
AMT | Articles | Volume 12, issue 3
Atmos. Meas. Tech., 12, 1871-1888, 2019
https://doi.org/10.5194/amt-12-1871-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 1871-1888, 2019
https://doi.org/10.5194/amt-12-1871-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 21 Mar 2019

Research article | 21 Mar 2019

Better turbulence spectra from velocity–azimuth display scanning wind lidar

Felix Kelberlau and Jakob Mann
Viewed  
Total article views: 740 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
598 129 13 740 6 7
  • HTML: 598
  • PDF: 129
  • XML: 13
  • Total: 740
  • BibTeX: 6
  • EndNote: 7
Views and downloads (calculated since 04 Dec 2018)
Cumulative views and downloads (calculated since 04 Dec 2018)
Viewed (geographical distribution)  
Total article views: 595 (including HTML, PDF, and XML) Thereof 593 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 18 May 2019
Publications Copernicus
Download
Short summary
Lidars are devices that can measure wind velocities remotely from the ground. Their estimates are very accurate in the mean but wind speed fluctuations lead to measurement errors. The presented data processing methods mitigate several of the error causes: first, by making use of knowledge about the mean wind direction and, second, by determining the location of air packages and sensing them in the best moment. Both methods can be applied to existing wind lidars and results are very promising.
Lidars are devices that can measure wind velocities remotely from the ground. Their estimates...
Citation