12.990 Prediction and Predictability in the Atmosphere and Oceans

Spring 2003

Structure of the stable manifold for a two-dimensional, chaotic map.
Structure of the stable manifold for a two-dimensional, chaotic map. Black dots are points on the model attractor and red line is the local structure of the stable manifold - all points on the stable manifold collapse to the same point as they are integrated forward in time. The colors are a representation of the distance between a point in the space and a specified model trajectory. Note that the stable manifold lies in the minimum of this cost function space. (Courtesy of Prof. Jim Hansen.)

Course Highlights

This course includes assignments and MATLAB® scripts.

Course Description

Forecasting is the ultimate form of model validation. But even if a perfect model is in hand, imperfect forecasts are likely. This course will cover the factors that limit our ability to produce good forecasts, will show how the quality of forecasts can be gauged a priori (predicting our ability to predict!), and will cover the state of the art in operational atmosphere and ocean forecasting systems.

Technical Requirements

MATLAB® software is required to run the .m files found on this course site.

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Staff

Instructor:
Prof. Jim Hansen

Course Meeting Times

Lectures:
Two sessions / week
1.5 hours / session

Level

Graduate