1) Data output from atmospheric model simulations are created by ROAM (Perlin et al., 2020) and it is available upon request.
The atmospheric model data are
"atmospheric_model_data/CO2_SE_SST_W10mN_TauX_TauY_U10m_V10m_daily.nc" and
"atmospheric_model_data/CO2_WE_SST_W10mN_TauX_TauY_U10m_V10m_daily.nc"
Their content includes:
Dimensions: (nlat_rho: 122, nlon_rho: 306, nlons_rho: 306, time: 735)
Dimensions without coordinates: nlat_rho, nlon_rho, nlons_rho, time
Data variables:
Wstr2 (time, nlat_rho, nlons_rho) float32 ...
SST2 (time, nlat_rho, nlons_rho) float32 274.6 275.2 ... 286.8 286.8
U10m2 (time, nlat_rho, nlons_rho) float32 ...
V10m2 (time, nlat_rho, nlons_rho) float32 ...
W10mN2 (time, nlat_rho, nlons_rho) float32 12.22 12.29 ... 9.797 9.753
TauX2 (time, nlat_rho, nlons_rho) float32 0.2507 0.254 ... 0.1394 0.1374
TauY2 (time, nlat_rho, nlons_rho) float32 0.05018 0.04944 ... 0.04877
lon2ocn (nlat_rho, nlon_rho) float32 42.26 42.38 42.5 ... 77.57 77.68 77.8
lat2ocn (nlat_rho, nlon_rho) float32 -49.96 -49.96 -49.96 ... -40.03 -40.03
2) Monthly mixed layer heat budget files at small-mesoscale:
"monthly_ml_heat_budget_data_small_mesoscale/Strong/monthly_ml_heat_balance_2016-*_StrongEddies.nc"
"monthly_ml_heat_budget_data_small_mesoscale/Weak/monthly_ml_heat_balance_2016-*_WeakEddies.nc"
These files are aggregated data for monthly average Mixed layer heat budget at small-mesoscale in SC and WC case, respectively.
3) Monthly mixed layer heat budget files at large-mesoscale:
"monthly_ml_heat_budget_large_mesoscale/Strong/monthly_ml_heat_balance_2016-*_StrongEddies.nc"
"monthly_ml_heat_budget_large_mesoscale/Weak/monthly_ml_heat_balance_2016-*_WeakEddies.nc"
These files are aggregated data for monthly average mixed layer heat budget at large-mesoscale in SC and WC case, respectively.
4) Binned statistics between multiple pair of variables:
"Binned_stats_data/*.nc" are the binned statistics derived from the monthly monthly average mixed layer heat budget files. The data can be recreated with the python notebooks listed below:
"Fig10a_ml_heating_cooling_binned_stats_300km.ipynb"
"Fig10b_temp1_rate_binned_stats.ipynb"
"Fig10c_meso_ml_heating_cooling_binned_stats.ipynb"
"Fig12a_eddy_adv_ml_binned_stats.ipynb"
"Fig12b_shfluxa_eddy_adv_Strong.ipynb"
5) SST and surface current data in Strong Current case:
"SST_UV_DATA/SST_2016-08_StrongEddies.nc"
"SST_UV_DATA/Surface_U_2016-08_StrongEddies.nc"
"SST_UV_DATA/Surface_V_2016-08_StrongEddies.nc"
These files are aggregated monthly average data from ROAM simulations.
6) Figures included in Gao et al. (2021)
"Figures/*"
7) Python notebooks to re-create the figures:
"python_code/*.ipynb"
8) Python Environment file
"environment.yaml"
Please run the command below to re-create the python environment used in this analysis:
$ conda env create --file environment.yaml