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

Uchida, Takaya, Le Sommer, Julien, Stern, Charles, Abernathey, Ryan P., Holdgraf, Chris, Albert, Aurélie, Brodeau, Laurent, Chassignet, Eric P., Xu, Xiaobiao, Gula, Jonathan, Roullet, Guillaume, Koldunov, Nikolay, Danilov, Sergey, Wang, Qiang, Menemenlis, Dimitris, Bricaud, Clément, Arbic, Brian K., Shriver, Jay F., Qiao, Fangli, Xiao, Bin, Biastoch, Arne , Schubert, René , Fox-Kemper, Baylor, Dewar, William K. and Wallcraft, Alan (2022) Cloud-based framework for inter-comparing submesoscale-permitting realistic ocean models. Open Access Geoscientific Model Development, 15 (14). pp. 5829-5856. DOI 10.5194/gmd-15-5829-2022.

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With the increase in computational power, ocean models with kilometer-scale resolution have emerged over the last decade. These models have been used for quantifying the energetic exchanges between spatial scales, informing the design of eddy parametrizations, and preparing observing networks. The increase in resolution, however, has drastically increased the size of model outputs, making it difficult to transfer and analyze the data. It remains, nonetheless, of primary importance to assess more systematically the realism of these models. Here, we showcase a cloud-based analysis framework proposed by the Pangeo project that aims to tackle such distribution and analysis challenges. We analyze the output of eight submesoscale-permitting simulations, all on the cloud, for a crossover region of the upcoming Surface Water and Ocean Topography (SWOT) altimeter mission near the Gulf Stream separation. The cloud-based analysis framework (i) minimizes the cost of duplicating and storing ghost copies of data and (ii) allows for seamless sharing of analysis results amongst collaborators. We describe the framework and provide example analyses (e.g., sea-surface height variability, submesoscale vertical buoyancy fluxes, and comparison to predictions from the mixed-layer instability parametrization). Basin- to global-scale, submesoscale-permitting models are still at their early stage of development; their cost and carbon footprints are also rather large. It would, therefore, benefit the community to document the different model configurations for future best practices. We also argue that an emphasis on data analysis strategies would be crucial for improving the models themselves.

Document Type: Article
Funder compliance: DFG: 274762653
Research affiliation: IFREMER
OceanRep > GEOMAR > FB1 Ocean Circulation and Climate Dynamics > FB1-OD Ocean Dynamics
Main POF Topic: PT2: Ocean and Cryosphere
Refereed: Yes
Open Access Journal?: Yes
Publisher: Copernicus Publications (EGU)
Projects: CONTaCTS, SWOT, REKLIM, TRR181 Energy Transfers in Atmosphere and Ocean
Date Deposited: 08 Aug 2022 09:42
Last Modified: 08 Feb 2023 09:42

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