ST590G -- FALL 2012 
     
  Class Exercise #5 -- Tuesday, 01 October 2012

  Our Group ___________________________________________________

  As part of a collaboration with a sea snake researcher in Zoology,
  I needed to get precipitation information for certain locations
  in Southern Asia and the Western Pacific Ocean.  I found at the site
     http://precip.gsfc.nasa.gov          
  some satellite-based climatological data.

  1) First confirm that we have the right data and reading in the right
  fashion by modifying the file 'oct01.ex1' for different 'precip' files
  and see if the gcontour results match the images under climatology.

  I next needed to get all 12 months of precipitation data in one
  SAS data set under variable names rain01 through rain12.  (Then
  I took my specific locations -- from the file we just saw oct01.ex0 --
  and merged with these, dropping the unneeded locations (lat/lon).)

  2) Write a macro to read in all 12 datasets, creating a dataset with
  lat, lon, and 12 precipitation variables.

  3) Read the sea snake location file again, fixing the 'S' problem for
  southern hemisphere observations.

  4) Round the sea snake lat/lon to cells for which we have precipitation
  data.

  5) Merge the sea snake location data with the precipitation climatology
  data (by lat, lon).

  6) For how many locations are the precipitation data missing?

  Submit your output and log.  Don't forget your toes!