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

Data sets

NEMO-eNATL60 description and assessment repository Laurent Brodeau, Aurelie Albert, and Julien Le Sommer

Description of the GIGATL simulations Jonathan Gula, Sébastien Theetten, Gildas Cambon, and Guillaume Roullet

Model code and software

swot_adac_ogcms: Documentation and notebooks for the SWOT Adopt-a-Crossover Model Intercomparison Takaya Uchida, Charles Stern, and Ryan Abernathey

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.