Abstract
Global and regional climate models are critical drivers in hydrological modelling for hindcast analyses, supporting various horizon predictions, and climate change scenarios. Bias correction of climate model outputs is still required for reliable hydrological applications despite continuous improvements to increase resolution and accuracy of climate models. We propose a comprehensive review of the scientific contributions of bias correction methodologies for climate model outputs in hydrological applications. To complement the review, the main bias correction methods are tested on two case studies: one involving reanalysis simulations and the other focusing on climate change projections, to enrich the comparison with various scientific outcomes. A final discussion summarises the performance of various bias correction methods and to highlight the main findings from this systematic overview.