Quantile-based bias correction and uncertainty quantification of extreme event attribution statements

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Citation for Quantile-based bias correction and uncertainty quantification of extreme event attribution statements

Jeon, S., Paciorek, C. J., & Wehner, M. F. (2016). Quantile-based bias correction and uncertainty quantification of extreme event attribution statements. Weather and Climate Extremes, 12, 24–32. https://doi.org/10.1016/j.wace.2016.02.001

The Calibrated and Systematic Characterization, Attribution, and Detection of Extremes (CASCADE) project advances the Nation’s ability to identify and project climate extremes and how they are impacted by environmental drivers.