Ocean Science
Ocean Science
OS
Articles | Volume 19, issue 4
Articles | Volume 19, issue 4
https://doi.org/10.5194/os-19-1253-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-19-1253-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 4
Research article
 | 
21 Aug 2023
Research article |  | 21 Aug 2023

Potential artifacts in conservation laws and invariants inferred from sequential state estimation

Carl Wunsch, Sarah Williamson, and Patrick Heimbach

Viewed

Total article views: 1,350 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,078 223 49 1,350 38 40
  • HTML: 1,078
  • PDF: 223
  • XML: 49
  • Total: 1,350
  • BibTeX: 38
  • EndNote: 40
Views and downloads (calculated since 21 Feb 2023)
Cumulative views and downloads (calculated since 21 Feb 2023)

Viewed (geographical distribution)

Total article views: 1,350 (including HTML, PDF, and XML) Thereof 1,287 with geography defined and 63 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Nov 2024
Download
Short summary
Data assimilation methods that couple observations with dynamical models are essential for understanding climate change. Here, climate includes all sub-elements (ocean, atmosphere, ice, etc.). A common form of combination arises from sequential estimation theory, a methodology susceptible to a variety of errors that can accumulate through time for long records. Using two simple analogs, examples of these errors are identified and discussed, along with suggestions for accommodating them.
Read more