** Application deadline is March 17, 2019 **
This workshop will take place at the NC State University Campus, Raleigh, NC.
The mathematical sciences, particularly through applied mathematical and statistical research, facilitate understanding of the world around us and the prediction of future conditions. This is nowhere more true than in assessing and anticipating the shifts in our planet’s environment as the climate changes. This workshop will expose students to the research process involved in applying mathematics and statistics to climate science questions. Besides gaining familiarity with the research process, students will also learn about the Earth’s climate system, gain skill in handling large data sets and insight into modeling, and will also have fun working with peers on a group project.
Students will work in small groups on specific problems drawn from the geosciences. There will be freedom to try new ideas and the investigations will be guided by the instructors. A specific aim will be to promote awareness of the key points in the research process from problem formulation to the articulation of results and their distillation into tools for training future students. Each day will begin with an overview giving the appropriate background, motivation, and context for the day’s activity. For the rest of the day, there will be ample time for group work which will be punctuated with group reports and short presentations by SAMSI early career mathematical scientists recounting their own experiences in carrying through a research project.
Problem topics will include: rainfall in the Gulf coast and extreme events like Hurricane Harvey, predicting the motion of sea-ice in the Arctic, representing currents and temperature in the deep ocean, estimating the risk of hurricanes, and assessing the biomass of Alaskan forests. Based on each group’s expertise we expect that computing will be carried out using either Matlab or R.
** NOTE: Planning for this event is ongoing. More information will be posted as it becomes available. **
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