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2.18 kB
| """Generate normalized precipitation sequences at the paper's 288x288 resolution.""" | |
| from pathlib import Path | |
| import numpy as np | |
| import yaml | |
| ROOT = Path(__file__).resolve().parents[1] | |
| def make_split(path, count, config, seed): | |
| rng = np.random.default_rng(seed) | |
| data = config["data"] | |
| inputs, outputs = int(data["input_frames"]), int(data["output_frames"]) | |
| height, width = int(data["height"]), int(data["width"]) | |
| y, x = np.mgrid[-1:1:complex(height), -1:1:complex(width)].astype(np.float32) | |
| sequences = np.empty((count, inputs + outputs, height, width), np.float32) | |
| for sample in range(count): | |
| centers = rng.uniform(-0.45, 0.45, (2, 2)) | |
| velocity = rng.uniform(-0.025, 0.025, (2, 2)) | |
| amplitudes = rng.uniform(0.35, 1.0, 2) | |
| widths = rng.uniform(0.10, 0.28, 2) | |
| for step in range(inputs + outputs): | |
| field = np.zeros((height, width), np.float32) | |
| for storm in range(2): | |
| cy, cx = centers[storm] + velocity[storm] * step | |
| radius = ((x - cx) ** 2 + (y - cy) ** 2) / (2 * widths[storm] ** 2) | |
| field += amplitudes[storm] * np.exp(-radius) | |
| field += rng.normal(0, 0.01, field.shape) | |
| sequences[sample, step] = np.clip(field, 0, 1) | |
| np.savez_compressed( | |
| path, | |
| format_version=np.asarray(data["format_version"]), | |
| data_source=np.asarray("synthetic_knmi_like"), | |
| inputs=sequences[:, :inputs], | |
| targets=sequences[:, inputs:], | |
| ) | |
| def main(): | |
| config = yaml.safe_load((ROOT / "conf/config.yaml").read_text()) | |
| output = ROOT / config["data"]["root"] | |
| output.mkdir(parents=True, exist_ok=True) | |
| for offset, (filename, count) in enumerate(( | |
| ("train.npz", int(config["data"]["train_samples"])), | |
| ("test.npz", int(config["data"]["test_samples"])), | |
| )): | |
| target = output / filename | |
| if not target.exists(): | |
| make_split(target, count, config, int(config["seed"]) + offset) | |
| print(f"generated={target.relative_to(ROOT)} samples={count} shape=({config['data']['height']},{config['data']['width']})") | |
| if __name__ == "__main__": | |
| main() | |