CHAM-net: A Contrastive Hierarchical Adaptive Meta-network for Robust Global Methane Flux Prediction

In three linesCHAM-net, a contrastive hierarchical adaptive meta-network, predicts global methane flux by capturing site-specific dynamics through a conditioned encoder-decoder architecture. On simulation and observational datasets, the model achieves nRMSE=0.43 (emissions) and R²=0.97, outperforming all baselines.

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