A full wind bivariate bias correction method

Abstract

This study proposes a non-parametric bivariate bias correction method for wind direction and speed, capable of correcting the full bivariate distribution of these variables, not just their marginal distributions. The proposed method is applied to a case study in the inner Río de la Plata estuary, where its performance is evaluated and compared with other commonly used approaches for bias correction in coastal and ocean engineering. Additionally, the impact of wind bias correction on modeling wave generation and propagation within the inner estuary is analyzed. The results demonstrate that the proposed method performs exceptionally well in bivariate wind bias correction, outperforming the other methods examined. However, this improvement does not lead to a better performance of the wave model, although this latter result may be attributed to the short duration of the available wave data series.