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This study develops a historical climate field reconstruction framework based on a Partial Convolutional (PConv) neural network, using climate model simulations from the Coupled Model Intercomparison Project Phase 6 (CMIP6) as training samples, and developed the China global Artificial Intelligence Reconstructed Surface TemperatureCMIP6 (C-AIRSTM) dataset.