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The biases in the Global Circulation Models (GCMs) are crucial for understanding future climate changes. Currently, most bias correction methodologies suffer from the assumption that model bias is stationary. This paper provides a non‐stationary bias correction model, termed residual‐based bagging tree (RBT) model, to reduce simulation biases and to quantify the contributions of single models. Specifically,...
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