Description:

* Post-processed model outputs are divided in the types of datasets: deG.25*.nc (includes most of the variables), pw_deg.25*.nc (precipitable water)

* Folders for each simulation also include the respective namelist.atmosphere file.

* CTRL folder: includes the post-processed model outputs for the control reference experiment.

* PGW folder: includes the post-processed model outputs for the pgw experiment (pgw approach using a combination of LENS2 and ERA5 data to provide MPAS with PGW scenario initial and lateral boundary conditions).

* Below you will find additional information on the variables used in the manuscript.

Additional Information:
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1- Add “rainc” (accumulated convective precipitation in mm) and “rainnc” (accumulated total grid-scale precipitation in mm) to obtain total rainfall rates and also subtract previous hour amounts in order to get hourly rates. In Python for example: 
	a. precip = (ds_new.rainc.sel(lat=slice(0, 18), lon=slice(-33, 18)) + ds_new.rainnc.sel(lat=slice(0, 18), lon=slice(-33,18)) ).diff('xtime')

2- 700-hPa relative vorticity is calculated using “uzonal_700hPa” (reconstructed zonal wind at cell centers, vertically interpolated to 850 hP in m s^{-1}) and “umeridional_700hPa” (reconstructed meridional wind at cell centers, vertically interpolated to 850 hP in m s^{-1})) variables

3- "dtheta_dt_mp_isobaric"- Potential temperature heating rate from microphysics in K s^{-1}

4- “umeridional_isobaric”- Meridional wind interpolated to isobaric surfaces in m s^{-1}

5- “uzonal_isobaric”- Zonal wind interpolated to isobaric surfaces in m s^{-1}

History:
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README created 12/12/2023 by Kelly M. Núñez Ocasio