Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 11, issue 5
Articles | Volume 11, issue 5
https://doi.org/10.5194/amt-11-3021-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-3021-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 5
Research article
 | 
24 May 2018
Research article |  | 24 May 2018

Is it feasible to estimate radiosonde biases from interlaced measurements?

Stefanie Kremser, Jordis S. Tradowsky, Henning W. Rust, and Greg E. Bodeker

Viewed

Total article views: 2,781 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,733 958 90 2,781 90 85
  • HTML: 1,733
  • PDF: 958
  • XML: 90
  • Total: 2,781
  • BibTeX: 90
  • EndNote: 85
Views and downloads (calculated since 31 Jan 2018)
Cumulative views and downloads (calculated since 31 Jan 2018)

Viewed (geographical distribution)

Total article views: 2,781 (including HTML, PDF, and XML) Thereof 2,641 with geography defined and 140 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Discussed (final revised paper)

Latest update: 10 Dec 2024
Download
Short summary
We investigate the feasibility of quantifying the difference in biases of two instrument types (i.e. radiosondes) by flying the old and new instruments on alternating days, so-called interlacing, to statistically derive the systematic biases between the instruments. While it is in principle possible to estimate the difference between two instrument biases from interlaced measurements, the number of required interlaced flights is very large for reasonable autocorrelation coefficient values.
Read more