Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 23, issue 12
Articles | Volume 23, issue 12
https://doi.org/10.5194/hess-23-5059-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-5059-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 12
Technical note
 | 
16 Dec 2019
Technical note |  | 16 Dec 2019

Technical note: Uncertainty in multi-source partitioning using large tracer data sets

Alicia Correa, Diego Ochoa-Tocachi, and Christian Birkel

Viewed

Total article views: 2,299 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,663 592 44 2,299 35 41
  • HTML: 1,663
  • PDF: 592
  • XML: 44
  • Total: 2,299
  • BibTeX: 35
  • EndNote: 41
Views and downloads (calculated since 21 May 2019)
Cumulative views and downloads (calculated since 21 May 2019)

Viewed (geographical distribution)

Total article views: 2,299 (including HTML, PDF, and XML) Thereof 1,913 with geography defined and 386 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Apr 2024
Download
Short summary
The applications and availability of large tracer data sets have vastly increased in recent years leading to research into the contributions of multiple sources to a mixture. We introduce a method based on Taylor series approximation to estimate the uncertainties of such sources' contributions. The method is illustrated with examples of hydrology (14 tracers) and a MATLAB code is provided for reproducibility. This method can be generalized to any number of tracers across a range of disciplines.
Read more