Bias‐Adjustment Methods for Future Subdaily Precipitation Extremes Consistent Across Durations

Model output from climate projections often requires bias-adjustment to compensate for systematic model errors. A method extreme precipitation intensity is proposed that preserves the scaling equation different accumulation levels hourly daily, using intensity-duration-frequency (IDF) modeling. validation performed within a pseudo-reality setting, based on 28 regional of EURO-CORDEX ensemble over Belgium. The scaling-based adjustment methods improve upon previous methods, an optimal identified, and, analytical quantile mapping must be avoided due three identified problems. mean adjusted obeys above-mentioned scale-invariance property, which consistent with observed intensities. We thus show IDF modeling provides added value in context bias-adjustment, particular balances well between accuracy and preservation desired properties such as scale invariance consistency among rainfall durations.