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HERMES_GR (High-Elective Resolution Modelling Emission System - Global-Regional) is an open-source, Python-based emission processing system designed to transform officially reported emission inventories into model-ready datasets for air quality and greenhouse gas (GHG) simulations.
It provides high-resolution spatial, temporal, vertical, and chemical speciation processing, enabling integration with state-of-the-art atmospheric models for research and regulatory applications.
HERMES_GR generates ready-to-use emission inputs for atmospheric chemistry models at multiple spatial and temporal resolutions.
The global_regional module provides a highly customizable interface to calculate emissions from different sources, regions, and pollutants on a user-specified grid. It automatically combines, overlays, and updates existing emission inventories, which are then processed with user-defined vertical, temporal, and speciation profiles, as well as scaling and masking factors.
HERMES_GR can be used to:
- Combine and update multiple emission inventories.
- Apply spatial, temporal, vertical, and chemical speciation profiles.
- Generate CTM-ready NetCDF outputs.
- Configure global and regional domains for HPC workflows.
HERMES_GR has been tested for the following chemical transport models (CTM) and domains:
- NMMB-MONARCH: global and rotated domains.
- CMAQ: Lambert Conformal Conic (LCC) domains.
- WRF-Chem: Mercator domains.
HERMES_GR is distributed under the Apache License 2.0.
Despite extensive development and testing, issues may arise when HERMES_GR is used in new frameworks or configurations. We welcome feedback from users and will do our best to provide support within our available time and resources.
If you use HERMES_GR in your research, please cite the software release as the primary reference:
Tena, C., Gehlen, J., Rizza, L., & Guevara, M. (2026).
HERMES_GR: High-Elective Resolution Modelling Emission System - Global-Regional
(version v3.0.0). BSC Dataverse.
https://doi.org/10.82201/TQF44A
For the scientific methodology and model description, please also cite:
Guevara, M., Tena, C., Porquet, M., Jorba, O., and Pérez García-Pando, C.:
HERMES, a stand-alone multi-scale atmospheric emission modelling framework - Part 1:
global and regional module, Geosci. Model Dev., 12, 1885-1907,
https://doi.org/10.5194/gmd-12-1885-2019, 2019.
- Software DOI: https://doi.org/10.82201/TQF44A
- Paper: https://doi.org/10.5194/gmd-12-1885-2019
- Source code: https://github.com/BSC-ES/HERMES_GR
- Documentation: https://github.com/BSC-ES/HERMES_GR/wiki
- Benchmark data: https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/WQ1714
Code developed by Barcelona Supercomputing Centre (BSC-CNS).
Due to limited time and resources, the development team cannot guarantee regular support. Nevertheless, we are happy to provide advice for new users whenever possible. Questions should be sent to the HERMESv3 mailing list:
To join the mailing list, send an email to hermesv3-join@bsc.es and cc marc.guevara@bsc.es, with the following information:
- Name
- Organization
- Country.