Prediction and Predictability in the Atmosphere and Ocean OpenCourseWare: A Free MIT Graduate Level Scientific Forecasting Course
Even with well-developed models predicting weather patterns, forecasts are often not entirely accurate. In 'Prediction and Predictability in the Atmosphere and Ocean,' an OpenCourseWare offered by MIT, students study the factors that limit the success of forecasting technologies and the tools needed for better accuracy. This free graduate-level course is best for students with access to MATLAB software and an understanding of linear algebra.
Prediction and Predictability in the Atmosphere and Ocean: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Graduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | No |
Prediction and Predictability in the Atmosphere and Ocean: Course Description
Atmospheric and oceanic modeling technologies that produce accurate data are needed for many practical-applications, from weather forecasts to the development of safe navigation routes. In this OpenCourseWare from MIT's Department of Earth, Atmosphere, and Planetary Sciences, students will learn the integral factors that limit our ability to develop accurate predictions. 'Prediction and Predictability in the Atmosphere and Ocean' exposes students to atmosphere and ocean forecasting systems and shows how the accuracy of forecasts are gauged. The five major topics discussed in this course are data assimilation, adaptive observation, probabilistic forecasting and chaos theory. This graduate-level course is taught by MIT professor Jim Hansen.
Materials for this OpenCourseWare include problem sets, lecture notes, a list of suggested readings and a collection of MATLAB software scripts. To download course materials, or to learn more, visit the predicting the atmosphere and ocean course page.
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