Spatial analysis

• Objective analysis
• Empirical orthogonal functions
• Normal mode analysis
• Kalman filter

Optimal interpolation

In the class, we ran the code that optimally interpolate the pseudo observations onto the regularly gridded space. The dataset can be downloaded from this link.

And the jupyter notebook for this exercise is here.

Empirical orthogonal functions (EOFs)

As an exercise, we will compute the EOFs of the Pacific SST following the code by John Wilkin (Rutgers Univ.).

The dataset can be downloaded from this link and this link.

And get the python code for this exercise from here. The jupyter notebook file we did in the class is this.