A new COMPASS open-source software framework — CLIMB: Framework for CLIMate data bias-adjustment and downscaling — has been published in SoftwareX. The tool provides a fully automated pipeline for processing and bias-adjusting high-resolution climate data from reanalysis and observational sources, making it easier to generate daily meteorological datasets tailored for climate impact and attribution studies of floods, droughts, heatwaves, and other extreme events.

Developed by an international team of researchers, who are also COMPASS team members, CLIMB integrates global reanalysis products such as ERA5 and ERA5-Land with high-quality observational datasets. It applies state-of-the-art bias-adjustment and statistical downscaling methods and produces climate indicators in standardized formats suitable for hydrological modelling and extreme event attribution workflows.

The framework is designed for reproducibility and automation, supporting both research and operational applications. By lowering technical barriers and enabling transparent climate data processing, CLIMB contributes to advancing climate impact science and supports ongoing efforts within the COMPASS project to better understand and attribute compound climate extremes.

Read the open-access article:
CLIMB: Framework for CLIMate data bias-adjustment and downscaling, DOI: 10.1016/j.softx.2025.102479