GRAMM-SCI V25.03
Documentation of the prognostic Graz Mesoscale Model - Scientific
This report provides a comprehensive overview of the fundamental equations and approximations of GRAMM-SCI, along with the numerical schemes and validation studies conducted. It is intended to serve as the primary reference for the GRAMM-SCI model. Instructions for operating the model can be found in the User Manual of the accompanying Graphical User Interface, as well as in a concise Recommendation Guide, both of which are included in the freely available download package.
General Information:
Current development team:
GRAMM-SCI is currently being developed by Dietmar Oettl (Government of Styria, Air Quality Department, Austria).
Training and support: Not available
External code packages: GRAMM-SCI uses the following nugets: GDAL, Gdal.Core, Gdal.Core.WindowsRuntime, GDAL.Native, GDAL.Plugins, and SDSLite, which can be used under the terms of the MIT1 license. Further, it uses Grip.Api obtained from the ECMWF websites. GRAMM-SCI itself is distributed as open source software using the GPL2 license.
Software requirements: 64 bit Windows operation system for the .NETCore 3.1 framework.
Programming language: C# (.NETCore 3.1 version for Windows)
Availability: https://www.researchgate.net/profile/Dietmar-Oettl/publications
Typical domain sizes: 10 km - 1500 km
Typical horizontal grid sizes: 100 m - 20 km
Typical vertical grid sizes: lowest cell height 10 m - 20 m; increasing cell heights with elevation by a factor of 1,05 - 1,40
Typical fields of applications:
- Simulation of time-dependent flows in complex terrain using ERA5 reanalysis data for initializiation and boundary conditions.
- Simulation of quasi-steady-state flow fields in complex terrain for categorized meteorological situations
Application limits:
- GRAMM-SCI does not account for detailed cloud physics, precipitation
