Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 11
Articles | Volume 15, issue 11
https://doi.org/10.5194/gmd-15-4555-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-4555-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 11
Development and technical paper
 | 
14 Jun 2022
Development and technical paper |  | 14 Jun 2022

Order of magnitude wall time improvement of variational methane inversions by physical parallelization: a demonstration using TM5-4DVAR

Sudhanshu Pandey, Sander Houweling, and Arjo Segers

Viewed

Total article views: 1,420 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
967 399 54 1,420 21 25
  • HTML: 967
  • PDF: 399
  • XML: 54
  • Total: 1,420
  • BibTeX: 21
  • EndNote: 25
Views and downloads (calculated since 02 Nov 2021)
Cumulative views and downloads (calculated since 02 Nov 2021)

Viewed (geographical distribution)

Total article views: 1,420 (including HTML, PDF, and XML) Thereof 1,313 with geography defined and 107 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Apr 2024
Download
Short summary
Inversions are used to calculate methane emissions using atmospheric mole-fraction measurements. Multidecadal inversions are needed to extract information from the long measurement records of methane. However, multidecadal inversion computations can take months to finish. Here, we demonstrate an order of magnitude improvement in wall clock time for an iterative multidecadal inversion by physical parallelization of chemical transport model.
Read more