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 (let's call it x again). Use the same data from HW3 data source here.


Perform and display an EOF analysis of your first field.

eofpc1_JI.jpg
eofpc2_JI.jpg
eofpc3_JI.jpg
eofpc4_JI.jpg
origrecon_JI.jpg


trunc1-2_JI.jpg
trunc3-4_JI.jpg