Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 11, issue 5
Articles | Volume 11, issue 5
https://doi.org/10.5194/amt-11-2567-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-2567-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 5
Research article
 | 
03 May 2018
Research article |  | 03 May 2018

Reducing representativeness and sampling errors in radio occultation–radiosonde comparisons

Shay Gilpin, Therese Rieckh, and Richard Anthes

Viewed

Total article views: 2,865 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,754 1,034 77 2,865 81 74
  • HTML: 1,754
  • PDF: 1,034
  • XML: 77
  • Total: 2,865
  • BibTeX: 81
  • EndNote: 74
Views and downloads (calculated since 31 Jan 2018)
Cumulative views and downloads (calculated since 31 Jan 2018)

Viewed (geographical distribution)

Total article views: 2,865 (including HTML, PDF, and XML) Thereof 2,690 with geography defined and 175 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 14 Dec 2024
Download
Short summary
Comparing observational systems when observations are not taken at the exact same time or location can introduce sampling errors that can be come significant during error analysis. In this study, we develop two methods to reduce sampling errors: using ellipse distance constraints rather than circles and subtracting model background. We found that both the ellipses and subtracting model background from the observations reduce sampling errors caused by spatial and temporal differences.
Read more