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TechieMoon/
rainmap-nowcasting

precipitation-nowcasting

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RainMap Nowcasting

This repository hosts model weights for TechieMoon/rainmap-nowcasting.

Intended use

The model accepts 6 grayscale rain map frames and predicts the next 6 grayscale frames. Pixel intensity is interpreted as 0..255 -> 0..1 rain intensity.

Important warning

Small SEVIR VIL subset fine-tuned benchmark model. Not for operational weather forecasting.

Model

Dataset: SEVIR VIL mini local fine-tune
Weights: rainmap-nowcasting-sevir-finetuned.safetensors
Input frames: 6
Target frames: 6
Image size: [64, 64]

Files

rainmap-nowcasting-sevir-finetuned.safetensors: PyTorch state dict.
model_config.json: architecture, frame count, image size, and encoding.
training_metrics.json: training metrics.

Benchmark

Dataset: data\sevir_mini\local\val
Sequences: 4

Model	MAE	RMSE	CSI@0.3	HSS@0.3	ETS@0.3	FSS@0.3/w15
persistence	0.0406	0.0930	0.5944	0.7117	0.5524	0.9675
base	0.0764	0.0983	0.6432	0.7520	0.6026	0.9605
fine_tuned	0.0694	0.0888	0.6699	0.7747	0.6323	0.9727

Small-subset benchmark results are not operational forecasting claims.

Example

python -m rainmap_nowcasting.predict --input-dir samples/input --output-dir outputs