Advancing the capabilities for efficient hurricane-centric simulations with the atmospheric model ICON

Senf, Fabian; Cremer, Roxana

doi:10.5194/gmd-19-7705-2026

Articles | Volume 19, issue 16

https://doi.org/10.5194/gmd-19-7705-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-7705-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 16

Development and technical paper

|

20 Aug 2026

Development and technical paper |

| 20 Aug 2026

Advancing the capabilities for efficient hurricane-centric simulations with the atmospheric model ICON

Fabian Senf and Roxana Cremer

Data sets

ICON release 2025.04 ICON partnership https://doi.org/10.35089/wdcc/iconrelease2025.04

Model code and software

ICON v2.6.6 Patch: for flexible SSTs in nested domains, Fabian Senf https://doi.org/10.5281/zenodo.18385022

Jupyter Notebooks for Plotting Analysis of "Advancing Hurricane-Centric Simulations with ICON", Final Release Fabian Senf https://doi.org/10.5281/zenodo.21836648

Hurricane Centric Toolset Version v2026.01 - Common Initialization and Perturbation Experiment Capabilities Fabian Senf https://doi.org/10.5281/zenodo.18271898

ICON v2025-04-2 Patch: for handling vertical interpolation in init of two-moment cloud microphysics Fabian Senf https://doi.org/10.5281/zenodo.18387047

Short summary

Computer models for hurricane prediction are increasingly detailed but require large computing resources. We developed a flexible approach that follows hurricanes, applying high-resolution simulations only where needed. This method reduces computing costs by up to an order of magnitude compared to conventional limited-area domains, while achieving resolutions down to 300 m. The approach enables more efficient hurricane research and improved understanding of tropical dynamics.