Hanzer et al. (2026) openAMUNDSEN climate generator v0.2.0

Identification

• Journal: Open MIND
• Year: 2026
• Date: 2026-04-20
• Authors: Florian Hanzer, Michael Warscher, Ulrich Strasser
• DOI: 10.5281/zenodo.19662554

Research Groups

• lumiosys GmbH
• Universität Innsbruck

Short Summary

Development of the openAMUNDSEN climate generator (v0.2.0), a software tool that uses a stochastic block bootstrap method to generate future meteorological forcing time series from historical observations.

Objective

• To create a stochastic weather generator capable of producing synthetic future meteorological forcing data based on historical observational records.

Study Configuration

• Spatial Scale: Not specified (dependent on input observation data).
• Temporal Scale: Future time series generation based on historical time series.

Methodology and Data

• Models used: Stochastic block bootstrap weather generator.
• Data sources: Historical meteorological observations.

Main Results

• Release of the openAMUNDSEN climate generator version v0.2.0.
• Implementation of a stochastic block bootstrap approach to maintain temporal dependencies in synthetic weather data.

Contributions

• Provision of an open-source (MIT License) software tool for the generation of synthetic meteorological forcing, enabling more robust climate impact simulations.

Funding

• Not specified

Citation

@article{Hanzer2026openAMUNDSEN,
  author = {Hanzer, Florian and Warscher, Michael and Strasser, Ulrich},
  title = {openAMUNDSEN climate generator v0.2.0},
  journal = {Open MIND},
  year = {2026},
  doi = {10.5281/zenodo.19662554},
  url = {https://doi.org/10.5281/zenodo.19662554}
}