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README.md

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-license: cc-by-4.0
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+---
+license: cc-by-4.0
+---
+
+# IonoBench Benchmark Models
+
+This repository stores trained weights, logs, and configs for various models used in the IonoBenchv1 Evalution Framework.
+
+## Models
+
+Ex:
+
+- **Checkpoint**: [`SimVP/model_best.pth`](SimVP_AllFeatures/model_best.pth)
+- **Config**: [`config.yaml`](SimVP_AllFeatures/config.yaml)
+- **Logs**: [`training_log.txt`](SimVP_AllFeatures/training_log.txt)
+- **Test Results**: See `testing_info_*.txt`
+
+## Notes
+
+- Please check config files to see training details and used dataset (Stratified or Chronological)
+- For further information on the benchmark framework, experimental setup, and evaluation strategy, see the related paper:
+  - Turkmen, M.C., Lee, Y.H., Tan, E.L.
+    *IonoBench: A Framework for Benchmarking Spatiotemporal Ionospheric Forecasting Models under Solar-Balanced and Storm-Aware Conditions*.
+    [Remote Sensing, 2025] – https://doi.org/10.3390/rs1010000 (in review)
+
+## References
+
+- **SimVPv2**: Tan et al., 2024. [arXiv:2211.12509](https://arxiv.org/abs/2211.12509)
+- **SwinLSTM**: Tang et al., 2023. [arXiv:2308.09891](https://arxiv.org/abs/2308.09891)
+- **DCNN121**: Boulch et al., 2018. [arXiv:1810.13273](https://arxiv.org/abs/1810.13273)
+- **OpenSTL**: Tan et al., 2023. [arXiv:2306.11249](https://arxiv.org/abs/2306.11249)