Abstract To address the challenge of limited training samples. this study employs the model-agnostic meta-learning (MAML) algorithm along with domain-knowledge-based data augmentation to predict winter temperatures on the Korean Peninsula. While data augmentation has been achieved by using global climate model simulations. the proposed augmentation is purely based on the observed data... https://www.roneverhart.com/M-M-s-Peanut-Bulk-25LB-Case/