Work

CLIMB: Framework for CLIMate data bias-adjustment and downscaling

Year: 2025

Type: software-paper

Abstract: Modern climate impact and attribution science requires timely, high-resolution meteorological and hydrological data. The CLIMB workflow is an open-source framework integrating state-of-the-art datasets and methods for operational generation of high-resolution climate datasets tailored for attribution studies of floods, droughts, heatwaves, and other extremes. We show that global climate reanalysis can be efficiently bias-adjusted and downscaled, and further converted into readily-usable climate indicators. The choice of variables and formatting of the data enables direct application in hydrological models. The workflow implements a fully scripted pipeline that can be automated via cron scheduling, providing daily meteorological outputs. We show an application of the workflow for operational monitoring weather extremes in Poland.

Source: SoftwareX

DOI: 10.1016/j.softx.2025.102479

Authors: Jakub Śledziowski, Paweł Terefenko, Andrzej Giza, Kamran Tanwari, Dominik Paprotny

Institutions: University of Szczecin, Leibniz Association, Potsdam Institute for Climate Impact Research

Language: English

Topic: Climate variability and models

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Clean water and sanitation

Open Access status: gold

Estimated APC paid: $1,200