Google Translate
Statistical Down Scaling Model (SDSM)
Summary:
Background
Statistical Down Scaling Model (SDSM) is a decision support tool for assessing local climate change impacts using a robust statistical down scaling technique. SDSM facilitates the rapid development of multiple, low–cost, single–site scenarios of daily surface weather variables under current and future regional climate forcing. Additionally, the software performs ancillary tasks of predictor variable pre–screening, model calibration, basic diagnostic testing and statistical analyses of climate data. SDSM is a software package (with multiple versions available), and accompanying statistical down scaling methodology, that enables the construction of climate change scenarios for individual sites at daily time–scales, using grid resolution GCM output. The software performs five basic tasks involved in statistically down scaling GCM output, namely: screening of candidate predictor variables; model calibration; synthesis of current weather data; generation of future climate scenarios; diagnostic testing and basic statistical analyses.
Leading Organization:
Image(s):
