Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 15
Articles | Volume 17, issue 15
https://doi.org/10.5194/gmd-17-5779-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-5779-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 15
Methods for assessment of models
 | 
01 Aug 2024
Methods for assessment of models |  | 01 Aug 2024

Exploring the potential of history matching for land surface model calibration

Nina Raoult, Simon Beylat, James M. Salter, Frédéric Hourdin, Vladislav Bastrikov, Catherine Ottlé, and Philippe Peylin

Viewed

Total article views: 2,925 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,255 571 99 2,925 137 157
  • HTML: 2,255
  • PDF: 571
  • XML: 99
  • Total: 2,925
  • BibTeX: 137
  • EndNote: 157
Views and downloads (calculated since 12 Feb 2024)
Cumulative views and downloads (calculated since 12 Feb 2024)

Viewed (geographical distribution)

Total article views: 2,925 (including HTML, PDF, and XML) Thereof 2,925 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Mar 2026
Download
Short summary
We use computer models to predict how the land surface will respond to climate change. However, these complex models do not always simulate what we observe in real life, limiting their effectiveness. To improve their accuracy, we use sophisticated statistical and computational techniques. We test a technique called history matching against more common approaches. This method adapts well to these models, helping us better understand how they work and therefore how to make them more realistic.
Read more
Share