openAMUNDSEN-DA

Assimilating satellite-based snow cover, wet snow extent and station observations into openAMUNDSEN.

Software scope

openAMUNDSEN-DA is an open-source data assimilation framework built around openAMUNDSEN. It preprocesses configured snow observations, prepares deterministic assimilation sequences, executes an ensemble particle-filter workflow and validates the resulting tables, grids, plots, maps and report.

The documentation is deliberately technical. For the particle-filter formulation, scientific motivation and further interpretation of the results, see Wagner et al. (2026), the manuscript accompanying this software release.

openAMUNDSEN-DA technical workflow from mounted setup inputs through observation summaries and prepared steps to validated results

The host setup is mounted at /data. openAMUNDSEN-DA summarizes configured snow observations, prepares inspectable event inputs and writes a validated result set.

Start here

Installation explains the Python package and wheel-based Docker image.
Input Data defines required model, forcing and observation inputs without prescribing product-generation algorithms.
Configuration documents the strict setup, project and step ownership boundary.
Running covers the supported single-domain and subdomain command sequences.
Output Data defines the manifest, compact NetCDF, diagnostics and cleanup contract.
Example Data describes the shipped Rofental and North Tyrol examples.
How to Use is the reviewed, continuous Rofental walkthrough.

License and availability

The stable v0.9.0 Python package is available from PyPI. The tested multi-architecture container is available from GHCR, and release archives and evidence are available from GitHub Releases. The MIT License permits commercial use subject to its terms.