Fractal Forecast — Python Simulation Code for Noise-Resilient Weather Modeling

This archive contains the full Python source code and documentation for the "Fractal Forecast" model submitted to the HeroX Forecast Force Challenge. The model introduces a noise-resilient, structure-preserving weather prediction algorithm based on fractal coupling and compressive dynamics. Unlike traditional diffusion-based models, Fractal Forecast maintains coherent propagation patterns even under noisy or incomplete data conditions. Included in this archive:- Python scripts for classical diffusion and fractal forecasting models,- A comparative visualization script,- A LaTeX report describing the methodology and code structure,- Output figures (optional),- Licensing and reproducibility details. All code runs on Python 3.10+ using only NumPy and Matplotlib. It has been tested on Jupyter, Google Colab, and local environments. No external dependencies or cloud resources are required. The project is released under the Creative Commons Attribution 4.0 License and is citable via this DOI. For questions, contact: [email protected]