Recursive multivariate principal‐monotonicity inferential climate downscaling

A recursive multivariate principal‐monotonicity inferential downscaling approach ( ReMPMID ) is proposed for climate downscaling under complexities of data uncertainties, nonlinear predictor–predictand correspondences, predictand dependencies, non‐normal distributions, spatial homogeneities, and temporal non‐stationarities. This approach is applied to the Athabasca River Basin ( ARB ) to verify methodological effectiveness. Many findings …