Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 10, issue 7
Articles | Volume 10, issue 7
https://doi.org/10.5194/gmd-10-2635-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-2635-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 10, issue 7
Development and technical paper
 | 
10 Jul 2017
Development and technical paper |  | 10 Jul 2017

Constraining DALECv2 using multiple data streams and ecological constraints: analysis and application

Sylvain Delahaies, Ian Roulstone, and Nancy Nichols

Viewed

Total article views: 2,544 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,852 594 98 2,544 106 123
  • HTML: 1,852
  • PDF: 594
  • XML: 98
  • Total: 2,544
  • BibTeX: 106
  • EndNote: 123
Views and downloads (calculated since 10 Feb 2017)
Cumulative views and downloads (calculated since 10 Feb 2017)

Viewed (geographical distribution)

Total article views: 2,544 (including HTML, PDF, and XML) Thereof 2,374 with geography defined and 170 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2024
Download
Short summary
Carbon is a fundamental constituent of life and understanding its global cycle is a key challenge for the modelling of the Earth system. We use a variational method to estimate parameters and initial conditions for the carbon cycle model DALECv2 using multiple sources of observations. We develop a methodology that helps understanding the nature of the inverse problem and evaluating solution strategies, then we demonstrate the efficiency of the variational method in an experiment using real data.
Read more