<jupyter_start><jupyter_text>A short intro to 'where what is' for Sam<jupyter_code>import xarray as xr<jupyter_output><empty_output><jupyter_text>Generally you will find all my processed data here: `/home/jbusecke/projects/aguadv_omz_busecke_2021/data/processed`  The density-transformed model data (global)`/home/jbusecke/projects/aguadv_omz_busecke_2021/data/processed/density_remapping_time_yearly_final/`This is the fully time resolved data! I also have historical averages Density transformed obs data (WOA;global)`/home/jbusecke/projects/aguadv_omz_busecke_2021/data/processed/density_remapping_obs/woa13.nc` Linear trends from 2000-2100 in density coordinates`/home/jbusecke/projects/aguadv_omz_busecke_2021/data/processed/linear_trends_global/...` ~~Z coordinate obs data~~ (WOA;global)I still need to port this... Historical mean (1960-2000) in z coordinates (global)You can use `fastjmd95` to reconstruct the potential density (see `projects/aguadv_omz_busecke_2021/notebooks/preprocessing/preprocessing_z_data.ipynb`) for how to do that.These are output for single members, so you have to combine those. I have some code in the work over at [cmip6_preprocessing](https://github.com/jbusecke/cmip6_preprocessing) that will make this easier. Remind me to ping you about that.<jupyter_code>ds = xr.open_dataset('/home/jbusecke/projects/aguadv_omz_busecke_2021/data/processed/historical_mean_z/CMIP_CCCma_CanESM5_historical_Omon_gn_v20190429_r10i1p1f1.nc')
ds
ds.thetao.isel(lev=10).plot()<jupyter_output><empty_output>
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