Empirical Orthogonal Functions (EOF) homework.

Background reading: Hsieh book chapter 2



1. First, a question about the sense of EOF's:

  1. How many values (numbers) are in your input data array? 240 x 144, in format longitude vs. time
  2. How many values (numbers) are needed to build each term on the left? 144 for EOFs, 240 for PCs
  3. If 5 EOFs capture most of the data's variance, how much smaller (in the above sense) is the EOFxPC representation compared to the full data set? 240 * 144 - (240 + 144) * 5

2. Read in your field1.

Perform and display an EOF analysis of your first field

Uwind:

eofpc1.jpg

pc2.jpg
pc3.jpg
pc4.jpg
origrecon1.jpg
trunc1-21.jpg
trunc3-41.jpg