Supplementary material (part 1): "Evaluation of AROME Model Valley Wind Simulations in the Inn Valley, Austria"

Part 1 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: 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 (see description below).
• Part 2: (available here) Includes the preprocessed AROME model output (NetCDF files) of the 1.0-km and 2.5-km simulations.

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 horizontal
grid spacing:

• OP2500: for 2.5 km
• OP1000: for 1.0 km
• OP500: for 0.5 km

Scripts.zip

Contains all the Python scripts used for the analyses. A more detailed explanation of the individual scripts can be found in the included Readme.md file.

AROME_CONFIG.zip

Contains the namelists used for integrating the AROME-Aut model with different horizontal grid spacings (0.5-km, 1.0-km, 2.5-km).
AROME model version: CY46t1

Datasets Part 1

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

• Data_ERA5.zip: Contains ERA5-reanalysis data (NetCDF).
• Data_IOP8.zip: Contains observational data from the CROSSINN field campaign (Adler et al. 2021), along with observational data from AWS surface stations and additional radiosonde observations. Data_IOP8 is organized into the following subfolders:
  • i-Box_FLUXL1AND2: Flux datasets from i-Box stations (e.g., sensible and latent heat flux data) 
  • Lidars_vertical: Lidar observations from SL88 and SLXR142. 
  • Lidar_VCS: Lidar observations of WLS200s coplanar scans. 
  • MWR: Microwave radiometer observations. 
  • RS: Radiosonde observations during IOP8 for the Kolsass site. 
  • RS_other: Radiosonde observations from additional sites (e.g., Munich, Stuttgart, Altenstadt, Innsbruck) 
  • Surface_station: Datasets of the AWS-stations (e.g., ACINN, DWD, ST, GeoSphere Austria) and a metadata file (Stations.csv) used by several Python scripts. 
• datasets_OP500.tar.xz: Contains the preprocessed AROME-Aut model output data (NetCDF files) of the 0.5-km simulation. 

The preprocessed AROME-Aut model output data of the 1.0-km and 2.5-km simulations are available in Part 2 of the supplementary material (available here).
A more detailed description about the individual NetCDF files is provided there.