Scripts and datas for "An energetically and observationally constrained mesoscale parameterisation for ocean climate models".

Scripts and datasets used for creating the results of a submitted work : R. Torres, R. Waldman, G. Madec, C. de Lavergne, R. Séférian and J. Mak: A unified energy-constrained mesoscale parameterisation for ocean climate models. (submitted in JAMES). Datas include eORCA1 mesh files (directory "mesh") and simulations output (direcotories "runs/*/output"). However, to avoid heavy archive, only 2D simulations output are provided. The post-processed 3D variables are first pre-processed for each simulations (directories "runs/*/post/post/post_averag_1995-2017"). The reference EKE of Torres et al. (2023) is provided (directory "obs/postprocessed_kinetic_energy") while other observational reference datasets have to be download by the user (e.g. World Ocean Atlas 2018, Tsujino et al. (2020) and RAPID) IPython notebooks for computing and plotting metrics are provided : james-eke-heat_budget.ipynb : plots for heat transport and global heat storage (section 4.1) james-eke-southern_ocean.ipynb : plots for Southern Ocean (section 4.2) analysis james-eke-north_atlantic.ipynb : plots for North Atlantic and Labrador Sea (section 4.3) analysis james-eke-timeseries.ipynb : plot 0D metric timeseries for simulations (including spin-up) Note however that these scripts use the author python library XOCE availbale on GitHub: https://github.com/torresr-cnrm/xoce. All the scripts have been runned using the version 0.2 of XOCE. Feel free to contact ([e-mail]) for any help in installing and using this library. In order to limit the size of the present repository, some datas data may be missing. Feel free to contact ([e-mail]) for any additional datas.