Students will be guided through hands-on experience working with extremes of data from very homogenized globally gridded data published by national centers to highly idiosyncratic (often unpublished) point source data.

Students will learn where to go for more information about data and data tools. Most importantly, they will examine which kinds of problems can be answered by data, which type(s) of data can help answer their questions, how to find that data, and the mechanics of how to use that data.

Tutorial materials: http://www.ncl.ucar.edu/Training/Tutorials/SEA2016/index.shtml