[Thread Prev][Thread Next][Index]

Composite image based on irregular months



Title: Composite image based on irregular months

Contact Us | Privacy Policy | Disclaimer | Accessibility Statement

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
 

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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/
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


[Thread Prev][Thread Next][Index]

Dept of Commerce / NOAA / OAR / PMEL / TMAP

Contact Us | Privacy Policy | Disclaimer | Accessibility Statement