DOI: 10.5281/zenodo.10958704
title: Supplementary material (part 2):  "Evaluation of AROME Model Valley Wind Simulations in the Inn Valley, Austria"

description: Part 2 of supplementary material for the Master's Thesis: "Evaluation of AROME Model Valley Wind Simulations in the Inn Valley, Austria" (Wibmer 2024, available here).

Due to memory constraints, the supplementary material consists of two parts:



Part 1: (available here) Includes Python scripts and model setup files, along with the first part of the datasets, including ERA-reanalysis data, observational data, and the preprocessed AROME model output (NetCDF files) of the 0.5-km simulation.

Part 2:  Includes the preprocessed AROME model output (NetCDF files) of the 1.0-km and 2.5-km simulations (see description below).


To reproduce part of the figures, users must download the Python scripts and the preprocessed AROME model datasets (NetCDF files). The Python scripts should be placed in the same parent folder because some of them depend on each other (!! Important !!).Original AROME model output files (GRIB2 format) are not published due to their large size.

The naming convention for the AROME simulations uses OP* (where * represents the grid spacing in meters) to differentiate the model runs based on their horizontalgrid spacing:



OP2500: for 2.5 km

OP1000: for 1.0 km

OP500: for 0.5 km


Datasets Part 2

Due to memory constraints, the datasets needed for the analyses are split up into two parts. The second part of the supplementary material contains:



datasets_OP1000.tar.xz: Contains the preprocessed AROME-Aut model output data (NetCDF files) of the 1.0-km simulation. 

datasets_OP2500.tar.xz: Contains the preprocessed AROME-Aut model output data (NetCDF files) of the 2.5-km simulation. 


The datasets of the 0.5-km simulation (datasets_OP500.tar.xz) can be found in Part 1 of the supplementary material (available here).The NetCDF datasets of the performed AROME-Aut simulations are packaged and compressed into .tar.xz files.The Python scripts, available here, require these NetCDF datasets for plotting and analyses routines.The provided NetCDF datasets are preprocessed from the GRIB2 output of the AROME-Aut simulations. For the scripts to function properly, you need to adjust the path to the datasets within path_handling.py.

Each datasets_OP*.tar.xz file contains NetCDF files for different type of levels: surface, hybridPressure (model levels), isobaricInhPa (pressure levels), meanSea (mean sea level), heightAboveGround (constant height levels).  The following naming convention for the datasets is used:



ds_OP*_var_hybridPressure_[lon1, lon2, lat1, lat2].nc: Contains data on hybrid pressure model levels for a specific variable (var; e.g., u, v, z, pres, q, t) for the geographical extent defined in the brackets. 

ds_OP*_interp_hybridPressure_(lon,lat).nc: Combined dataset on hybrid pressure model levels. The data is bilinearly interpolated to the specified location (lon, lat).

ds_OP*_var_surface_whole.nc: Contains data on model surface for a specified variable (var; e.g., z, sp, t, tcc) for the whole available domain extent.

ds_OP*_heightAboveGround_instant_whole.nc: Combined dataset on height levels (e.g., 2-m and 10-m) for the whole available domain extent.

ds_OP*_var_meanSea_whole.nc: Contains data on mean sea level for specified variable (var; e.g., prmsl) for the whole available domain extent. 


The original GRIB2 files are not provided due to their large size. For further information about the GRIB2 files or the NetCDF datasets, please feel free to contact me.