A Bayesian mixed-effects statistical model where the random effect is parameterized by a singular value decomposition (SVD). The matrices of the SVD representation are estimated using a Bayesian framework, enabling uncertainty quantification of the singular values and vectors in the decomposition.
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.