Articles | Volume 12, issue 5
https://doi.org/10.5194/gmd-12-1791-2019
https://doi.org/10.5194/gmd-12-1791-2019
Methods for assessment of models
 | 
06 May 2019
Methods for assessment of models |  | 06 May 2019

Efficient surrogate modeling methods for large-scale Earth system models based on machine-learning techniques

Dan Lu and Daniel Ricciuto

Viewed

Total article views: 4,100 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,924 1,116 60 4,100 112 86
  • HTML: 2,924
  • PDF: 1,116
  • XML: 60
  • Total: 4,100
  • BibTeX: 112
  • EndNote: 86
Views and downloads (calculated since 17 Jan 2019)
Cumulative views and downloads (calculated since 17 Jan 2019)

Viewed (geographical distribution)

Total article views: 4,100 (including HTML, PDF, and XML) Thereof 3,623 with geography defined and 477 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
This work uses machine-learning techniques to advance the predictive understanding of large-scale Earth systems.