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  CLIMB: Framework for CLIMate data bias-adjustment and downscaling

Śledziowski, J., Terefenko, P., Giza, A., Tanwari, K., Paprotny, D. (2026): CLIMB: Framework for CLIMate data bias-adjustment and downscaling. - SoftwareX, 33, 102479.
https://doi.org/10.1016/j.softx.2025.102479

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 ???ViewItemFull_lblCreators???:
Śledziowski, Jakub1, ???ENUM_CREATORROLE_AUTHOR???
Terefenko, Paweł1, ???ENUM_CREATORROLE_AUTHOR???
Giza, Andrzej1, ???ENUM_CREATORROLE_AUTHOR???
Tanwari, Kamran1, ???ENUM_CREATORROLE_AUTHOR???
Paprotny, Dominik2, ???ENUM_CREATORROLE_AUTHOR???                 
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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 ???ViewItemFull_lblAbstract???: 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.

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???ViewItemFull_lblLanguages???: eng - English
 ???ViewItemFull_lblDates???: 2025-09-292025-12-022025-12-082026-02-01
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