Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 11, issue 7
Articles | Volume 11, issue 7
https://doi.org/10.5194/amt-11-4309-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-4309-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 7
Research article
 | 
20 Jul 2018
Research article |  | 20 Jul 2018

Evaluating two methods of estimating error variances using simulated data sets with known errors

Therese Rieckh and Richard Anthes

Viewed

Total article views: 2,863 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,840 946 77 2,863 73 82
  • HTML: 1,840
  • PDF: 946
  • XML: 77
  • Total: 2,863
  • BibTeX: 73
  • EndNote: 82
Views and downloads (calculated since 12 Mar 2018)
Cumulative views and downloads (calculated since 12 Mar 2018)

Viewed (geographical distribution)

Total article views: 2,863 (including HTML, PDF, and XML) Thereof 2,764 with geography defined and 99 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
We compare the two-cornered hat (2CH) and three-cornered hat (3CH) method for estimating the error variances of two or more independent data sets using simulated data with various error correlations and biases. We assess the accuracy of the 3CH and 2CH estimates and examine the sensitivity of the estimated error variances to the degree of error correlation between the data sets as well as sample size. The 3CH method is less sensitive to these factors and hence more accurate.
Read more