This folder contains the new 2025 grids of simulations computed with Exo-REM (https://gitlab.obspm.fr/Exoplanet-Atmospheres-LESIA/exorem), updates made by Alice Radcliffe - an article detailing these updates is in prep, if possible abstain from publishing results with these grids before it is submitted, but if absolutely necessary cite Radcliffe et al. (in prep).
For further info on grid or publishing date please contact alice.radcliffe@obspm.fr 

================================================MISSING GRIDPOINTS========================================================
These grids have been cleaned of any unconverged spectra; any grid points with: 
- spectra deviating >1% from the expected total flux
- t-p profiles with significant inversions in the lower atmosphere
--> There are thus many grid points missing, especially in the cloudy grids -- this is normal.

================================================MODEL DESCRIPTION==========================================================
The original model is described in Baudino et al., 2015, Charnay et al. 2018 and Blain et al.,2021. The grids for young giant exoplanets correspond to the case with clouds or to the case without clouds (iron and silicate clouds), with either simple microphysics or fsed parameter. Please cite these papers as well as the Radcliffe et al. article if you use these Exo-REM grids.

The grids explore effective temperature (Teff), gravity (log(g)), metallicity (xsolar), C/O and fsed. Parameter values are in the file names. A cloudy (silicate and iron condensates) grid with varying sedimentation parameter (fsed) from, 0.3-9. This grid has many missing spectra at low fsed values --  this is normal as the code is very unstable when more clouds are added.

================================================FOLDER CONTENTS===========================================================
This folder includes: 
- 1 high resolution grid with folders of 100K Teff chunks, with spect_ files with a CONSTANT spectral resolution of R = 200 000 (as opposed to the previous grids that had a constant wavenumber step but varying resolution with wavenumber): 1st column = emission flux at top of the atmosphere (W/m2/cm-1), an associated wavenumber.h5 file for the entire grid (same for each spectrum).
- 1 medium resolution grid with folders of 200K Teff chunks, "                                                     " R = 10 000 "                      "
- Three low- resolution grids; one cloudless, one cloudy with simple micophysics (see Charnay et al. 2018) and one cloudy with varying fsed parameter.
~ Each grid has an associated list_gridpoints and missing gridpoints contain all of the parameter combinations + those that are missing due to non-convergence~

- xarray_routine.py; once desired folders have been unzipped, it is (*strongly*, for high res) advised for the user to crop the grid into the parameter space and wavelength range needed, this can be done with the xarray script or a number of other methods. Xarray stores all of the desired spectra into one array that is then saved into an .nc file, example usage is shown at the end of the script.

- vmr_YGP files: volume mixing ratio files for each gridpoint of each grid. 1st column = pressure (Pa), 2nd column = temperature (K), 3rd column = eddy diffusion coefficient (cm2/s), other columns =  gas volume mixing ratio (mol/mol)
- T-P_profiles: temp-pressure profiles for each gridpoint of each grid. 1st column = pressure (Pa), 2nd column = temperature (K)