Training Course in Statistical Downscaling techniques for researchers and managers: Full Scholarships Available

[NZP-SCBI Training]

Statistical Downscaling of Global Climate Models in SDSM 5.2

December 12-16, 2016

The Statistical DownScaling Model (SDSM) is a freely available software tool that facilitates the rapid development of multiple, low-cost, single-site scenarios of daily surface weather variables under present and future climate forcing. This course trains on the use and application of this decision support tool for assessing local climate change impacts, and is taught by professionals currently using this technique in their own research. The course progresses from download and management of site-specific climate data, to development of future scenarios of climate change based on global models, and finally to downscaling techniques including quality control and data transformation; screening of downscaling predictor variables; model calibration; weather generators; analysis and graphing of observed and downscaled data; frequency analysis; scenario generation; and time series analysis. The course will be led by Dr. Adam Fenech, Director of the Climate Lab at the University of Prince Edward Island; Dr. Christian Dawson, Department of Computer Science, Loughborough University; and Dr. Robert Wilby, Professor of Hydroclimatic Modelling at Loughborough University. Drs. Dawson and Wilby are co-developers of SDSM.

 

A number of full scholarships are available for highly qualified applicants to this course, and reduced fees are available to applicants from less-developed nations. Visit our website (http://SMConservation.gmu.edu) or email us at SCBItr...@si.edu for more details about each course, course costs, and credits earned.

 

Additional Upcoming Courses:    

              

·        Non-Invasive Techniques in Wildlife Endocrinology (March 13-24, 2017)

·        Practical Zoo Nutrition Management (June 5-9, 2017)