Time averaging

Hello,
 I have a netcdf data in which a variable has dimension like this

Number of Dimensions: 4
Dimensions and sizes: [time | 425] x [levels | 20] x [latitude | 94] x
[longitude | 37]
Coordinates:
            time: [ 0..5088]
            levels: [1000.. 100]
            latitude: [-14.87392044067383..33.12910842895508]
            longitude: [-9.870802819728851..9.55839616060257]

Time starts from 00z1March2000 to next 424 time steps with an interval of 12
hrs. Suppose for time averaging from 00Z10jun2000 to 12Z14Jun2000, is there
any "trick" to use calendar time instead of dimension number for
averaging.

print(VarName&time) gives 0, 12, 24, 36, .... 5088
Thanks in advance

Siji

_______________________________________________
ncl-talk mailing list
ncl-talk_at_ucar.edu
http://mailman.ucar.edu/mailman/listinfo/ncl-talk
Received on Mon Sep 04 2006 - 04:09:34 MDT