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dc.rights.licenseCC BY 3.0 Unportedeng
dc.contributor.authorHempel, S.
dc.contributor.authorFrieler, K.
dc.contributor.authorWarszawski, L.
dc.contributor.authorSchewe, J.
dc.contributor.authorPiontek, F.
dc.description.abstractStatistical bias correction is commonly applied within climate impact modelling to correct climate model data for systematic deviations of the simulated historical data from observations. Methods are based on transfer functions generated to map the distribution of the simulated historical data to that of the observations. Those are subsequently applied to correct the future projections. Here, we present the bias correction method that was developed within ISI-MIP, the first Inter-Sectoral Impact Model Intercomparison Project. ISI-MIP is designed to synthesise impact projections in the agriculture, water, biome, health, and infrastructure sectors at different levels of global warming. Bias-corrected climate data that are used as input for the impact simulations could be only provided over land areas. To ensure consistency with the global (land + ocean) temperature information the bias correction method has to preserve the warming signal. Here we present the applied method that preserves the absolute changes in monthly temperature, and relative changes in monthly values of precipitation and the other variables needed for ISI-MIP. The proposed methodology represents a modification of the transfer function approach applied in the Water Model Intercomparison Project (Water-MIP). Correction of the monthly mean is followed by correction of the daily variability about the monthly mean. Besides the general idea and technical details of the ISI-MIP method, we show and discuss the potential and limitations of the applied bias correction. In particular, while the trend and the long-term mean are well represented, limitations with regards to the adjustment of the variability persist which may affect, e.g. small scale features or extremes.eng
dc.publisherMünchen : European Geopyhsical Unioneng
dc.relation.ispartofseriesEarth System Dynamics, Volume 4, Issue 2, Page 219-236eng
dc.subjectBias-correction methodseng
dc.subjectFuture projectionseng
dc.subjectImpact simulationeng
dc.subjectInfrastructure sectoreng
dc.subjectSmall-scale featureseng
dc.subjectSystematic deviationeng
dc.subjectTechnical detailseng
dc.subjectTemperature informationeng
dc.titleA trend-preserving bias correction – The ISI-MIP approacheng
dcterms.bibliographicCitation.journalTitleEarth System Dynamicseng
Appears in Collections:Umweltwissenschaften

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Hempel, S., K. Frieler, L. Warszawski, J. Schewe and F. Piontek, 2013. A trend-preserving bias correction – The ISI-MIP approach. 2013. München : European Geopyhsical Union
Hempel, S., Frieler, K., Warszawski, L., Schewe, J. and Piontek, F. (2013) “A trend-preserving bias correction – The ISI-MIP approach.” München : European Geopyhsical Union. doi:
Hempel S, Frieler K, Warszawski L, Schewe J, Piontek F. A trend-preserving bias correction – The ISI-MIP approach. München : European Geopyhsical Union; 2013.
Hempel, S., Frieler, K., Warszawski, L., Schewe, J., & Piontek, F. (2013). A trend-preserving bias correction – The ISI-MIP approach (Version publishedVersion). Version publishedVersion. München : European Geopyhsical Union.
Hempel S, Frieler K, Warszawski L, Schewe J, Piontek F. A trend-preserving bias correction – The ISI-MIP approach. Published online 2013. doi:

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