Results_sst_Elizabeth

===**. First, a question about the sense of EOF's: (Note: SCORE=PC, COEFF=EOF) ** ===
 * 1) How many values (numbers) are in your input data array? 240 x 144 (time x lon)
 * 2) How many values (numbers) are needed to build each term on the left? 240+144
 * 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? 240x144 - (240+144)x5

===**2. Read in your field1 (SST).** Perform and display an EOF analysis of your first field. ===

Performed on first 4 EOF's First 10 explained variance: (1) 58.4816 (2) 23.2581 (3) 5.6597 (4) 3.9228 (5) 2.0325 (6) 1.2963 (7) 1.1224 (8) 0.7056 (9) 0.4613 (10) 0.4016

 

Doing for OLR