edu.ucar.opensky::articles:22533 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:37:02.810572 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7r78j92 https://doi.org/10.5065/D6WD3XH5 https Related Software #1 NCAR Command Language (NCL) Evaluation and improvement of tail behaviour in the cumulative distribution function transform downscaling method 2019-03-30T00:00:00Z publication https://n2t.org/ark:/85065/d7r78j92 https://doi.org/10.1002/joc.5964 Lanzante, J. R. author Nath, M. J. author Whitlock, C. E. author Dixon, K. W. author Adams-Smith, Dennis author UCAR/NCAR - Library publisher The cumulative distribution function transform (CDFt) downscaling method has been used widely to provide local-scale information and bias correction to output from physical climate models. The CDFt approach is one from the category of statistical downscaling methods that operates via transformations between statistical distributions. Although numerous studies have demonstrated that such methods provide value overall, much less effort has focused on their performance with regard to values in the tails of distributions. We evaluate the performance of CDFt-generated tail values based on four distinct approaches, two native to CDFt and two of our own creation, in the context of a "Perfect Model" setting in which global climate model output is used as a proxy for both observational and model data. We find that the native CDFt approaches can have sub-optimal performance in the tails, particularly with regard to the maximum value. However, our alternative approaches provide substantial improvement. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2019 Author(s). This work is licensed under a Creative Commons Attribution 4.0 International license. None eng geoscientificInformation