Advancements and challenges in bias correction quantile mapping for climate projections: A comprehensive review
Bias correction quantile mapping (BCQM) has become a pivotal tool in climate science, particularly for refining the outputs of Global Climate Models (GCMs) and Regional Climate Models (RCMs) at local scales. While GCM outputs are invaluable for understanding climate change, their coarse resolution introduces uncertainties requiring downscaling techniques like BCQM. This review paper explores the advancements, practical applications, and limitations of BCQM methods, emphasizing their critical role in improving climate projections. BCQM operates by mapping observed dat