Statistical DownScaling Model - Downscaling of precipitation data with SDSM - quick start guide

Statistical DownScaling Model - downscaling of precipitation time series data with SDSM - Step-by-step instructions for quick start This guide was created based on lectures given by Prof. Robert Wilby (Department of Geography, Loughborough University, UK) during Workshops of the ExtremeClimTwin Project (European Union’s Horizon 2020 research and innovation programme, Grant agreement No 952384) and the original SDSM software manual (V. 4.2) (Wilby and Dawson, 2007.). The recording of the lectures can be found on the ExtemeClimTwin Project YouTube channel 1. 2nd Workshop on hydro climate extremes detection and attribution for SRs - Prof. Robert Wilby - YouTube For full reference on theoretical background and more detailed technical guides please check the available instruction materials on the SDSM website: https://sdsm.org.uk/software.html The Statistical DownScaling Model (SDSM) facilitates the rapid development of multiple, low–cost, single–site scenarios of daily and sub-daily surface weather variables under present and future climate forcing. Additionally, the software performs ancillary tasks of data quality control and transformation, predictor variable pre–screening, automatic model calibration, basic diagnostic testing, statistical analyses, extreme value estimation and graphing of climate data