Dear Ferret users,
I am trying to make a composite image based on some irregular months of an index. For example, I want a composite image of sea level pressure (SLP) based on irregular months such as L=409, 505, 576 and 625 from the following data in ferret.
2> /data/necp/slp_mon_1948_2002
name title I J K L
SLP slp 1:144 1:73 1:1 1:660
So far, I can only use the following awkward way to make it, that is,
Let P=(slp[d=2, L=409] + slp[d=2, L=505] + slp[d=2, L=576] + slp[d=2, L=625])/4
Fill P
I would appreciate your help on creating the composite image in another simple way based on irregular months, in particular, when the number of irregular months is big.
Best wishes,
Yun
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Dr. Yun Li
Environmetrics (www.cmis.csiro.au/envir)
CSIRO Mathematical and Information Sciences
Private Bag 5, Wembley, WA 6913, Australia
Phone: +61 8 9333 6388 Fax: +61 9333 6121
URL: http://www.cmis.csiro.au/Yun.Li/
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