Xiaomeng Huang

A systematic approach to developing an effective AI-based bias correction model

2026 · Atmospheric and Oceanic Science Letters

This study introduces ReSA-ConvLSTM, an AI framework for systematic bias correction in numerical weather prediction. We propose three innovations by integrating dynamic climatological normalization, ConvLSTM with temporal causality constraints, and residual self-attention mechanisms. The model …