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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18620249 |
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Table of Contents:
- <p>This is the release for the manuscript titled "Noise-scaled accuracy of the ensemble Kalman filter with an instability-based minimum ensemble size" by Kota Takeda and Takemasa Miyoshi (under review).</p> <p>The repository contains the numerical codes and configuration files required to reproduce the main results and figures presented in the revised manuscript. All experiments were performed with Python 3.10, using the environments and dependencies specified in requirements.txt.</p> <p>Main contents: data/: parameter files and experimental setups (Case 1–4) scripts/: automation scripts for data generation and plotting figures/: reproduced figures (Fig. 1–6, B1) lyapunov/: submodule for Lyapunov analysis plot.py: figure generation for the main manuscript For reproducibility, please refer to the instructions in README.md.</p> <p><strong>Full Changelog</strong>: https://github.com/KotaTakeda/enkf_ensemble_downsizing/compare/v1.0.0...v1.1.0</p>