{
  "model_name": "ConvLSTM",
  "model_type": "convlstm",
  "architectures": ["ConvLSTM", "ConvLSTMCell"],
  "framework": "PyTorch",
  "domain": "atmosphere",
  "task": "precipitation-nowcasting",
  "implementation": {
    "entry_point": "model/convlstm.py",
    "scope": "peephole ConvLSTM encoder-forecaster for fifteen-step radar echo prediction",
    "train_script": "scripts/train.py",
    "inference_script": "scripts/inference.py",
    "evaluation_script": "scripts/result.py",
    "synthetic_data_script": "scripts/fake_data.py"
  },
  "architecture": {
    "family": "two-layer ConvLSTM encoder and two-layer unconditional forecaster",
    "input_channels": 1,
    "patch_size": 2,
    "patched_channels": 4,
    "hidden_channels": [16, 16],
    "kernel_size": 3,
    "peephole": true,
    "output_frames": 15,
    "output_head": "1x1 convolution over concatenated forecaster states"
  },
  "data": {
    "datasets": ["Hong Kong weather radar echo dataset"],
    "protocol": "convlstm_hko_synthetic_engineering_v1",
    "format": "NPZ",
    "train_file": "data/train.npz",
    "test_file": "data/test.npz",
    "input_shape": ["N", 5, 1, 100, 100],
    "target_shape": ["N", 15, 1, 100, 100],
    "interval_minutes": 6,
    "forecast_horizon_minutes": 90,
    "rainfall_threshold_mm_h": 0.5,
    "zr_parameters": {"a": 118.239, "b": 1.5241},
    "required_metadata": ["format_version", "data_source"]
  },
  "configuration_sources": ["conf/config.yaml", "model/convlstm.py", "scripts/fake_data.py", "scripts/train.py", "scripts/inference.py", "scripts/result.py"]
}