Articles | Volume 15, issue 14
Methods for assessment of models
27 Jul 2022
Methods for assessment of models |  | 27 Jul 2022

Cloud-based framework for inter-comparing submesoscale-permitting realistic ocean models

Takaya Uchida, Julien Le Sommer, Charles Stern, Ryan P. Abernathey, Chris Holdgraf, Aurélie Albert, Laurent Brodeau, Eric P. Chassignet, Xiaobiao Xu, Jonathan Gula, Guillaume Roullet, Nikolay Koldunov, Sergey Danilov, Qiang Wang, Dimitris Menemenlis, Clément Bricaud, Brian K. Arbic, Jay F. Shriver, Fangli Qiao, Bin Xiao, Arne Biastoch, René Schubert, Baylor Fox-Kemper, William K. Dewar, and Alan Wallcraft


Total article views: 3,797 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,496 1,251 50 3,797 37 28
  • HTML: 2,496
  • PDF: 1,251
  • XML: 50
  • Total: 3,797
  • BibTeX: 37
  • EndNote: 28
Views and downloads (calculated since 08 Feb 2022)
Cumulative views and downloads (calculated since 08 Feb 2022)

Viewed (geographical distribution)

Total article views: 3,797 (including HTML, PDF, and XML) Thereof 3,548 with geography defined and 249 with unknown origin.
Country # Views %
  • 1


Latest update: 25 Feb 2024
Short summary
Ocean and climate scientists have used numerical simulations as a tool to examine the ocean and climate system since the 1970s. Since then, owing to the continuous increase in computational power and advances in numerical methods, we have been able to simulate increasing complex phenomena. However, the fidelity of the simulations in representing the phenomena remains a core issue in the ocean science community. Here we propose a cloud-based framework to inter-compare and assess such simulations.