3. Example Data: Rofental

The tutorial uses the bundled Rofental setup as one concrete, reproducible example. This page describes that example once so later chapters do not need to repeat the same context.

Rofental tutorial setup map rendered from projects/project_2022_2023/maps.yml, showing the overview location, DEM with forcing stations, the Rofental land-cover grouping and the snow redistribution factor (SRF).

What Is Included

The example setup contains:

• model grids and ROI files under grids/ and env/
• meteorological forcing inputs under meteo/
• snow-cover, wet-snow, and station observations under obs/
• one project configuration under projects/project_2022_2023/

Directory overview:

/data/rofental/
  rofental.yml
  env/
  grids/
  meteo/
  obs/
    snowcover/
    wetsnow/
    stations/
  projects/
    project_2022_2023/
      project_2022_2023.yml

Available Resolutions

The bundled example contains three spatial resolutions:

• 100 m
• 250 m
• 500 m

The active resolution is selected in the setup YAML:

File: /data/rofental/rofental.yml

domain: "rofental"
resolution: 100
timestep: "3H"

The corresponding grids are named with the same pattern, for example:

• grids/dem_rofental_100.asc
• grids/dem_rofental_250.asc
• grids/dem_rofental_500.asc
• grids/lc_rofental_100.asc
• grids/svf_rofental_100.asc
• grids/srf_rofental_100.asc

Observation Data In The Example

Three observation groups are bundled:

• obs/snowcover/: fractional snow covered area (fSCA) rasters
• obs/wetsnow/: wet-snow mask rasters
• obs/stations/: station snow observations for assimilation, benchmarking and plots

For the snow-cover and wet-snow GeoTIFF inputs, the example also ships matching uncertainty sidecars named <stem>_uncertainty.tif next to the source rasters.

These observation raster products are the starting point for the preprocessing chapter. They are not yet in the tabular form consumed by the step-wise project pipeline, but the uncertainty layers they need for uncertainty-aware preprocessing are already included.

Project Configuration Used In The Tutorial

The main project file is:

• /data/rofental/projects/project_2022_2023/project_2022_2023.yml

This file defines:

• the project period
• observation directories and product tags
• class mappings
• data assimilation events
• likelihood, resampling, rejuvenation, uncertainty, and output settings

The setup file /data/rofental/rofental.yml remains pure openAMUNDSEN configuration, while the project YAML contains the data assimilation-specific configuration.

Continue with 4. Preprocess Observations.