config.json

{"model_name":"ClimateNet","model_type":"climatenet","architectures":["ClimateNetDeepLab"],"framework":"PyTorch","domain":"extreme-weather","task":"semantic-segmentation","implementation":{"entry_point":"model/climatenet.py","scope":"L2 DeepLabv3+ tile reproduction"},"architecture":{"input_channels":["TMQ","U850","V850","PRECT"],"classes":["background","TC","AR"],"logical_grid":[1152,768],"core":"DeepLabv3+ encoder-decoder"},"data":{"source":"CAM5.1","resolution_km":25,"expert_samples":459,"split":[422,18,19],"synthetic_tiles":true},"configuration_sources":["conf/config.yaml","model/climatenet.py","scripts/fake_data.py","scripts/train.py","scripts/inference.py","scripts/result.py"]}