[ncl-talk] JJAS seasonal analysis
Adam Phillips
asphilli at ucar.edu
Tue Dec 4 11:39:46 MST 2018
Hi Jalal,
You can do it by hand by using runave_n_Wrap:
; arr is dimensioned time x lat x lon
temp = runave_n_Wrap(arr,4,0,0)
arr_jjas = temp(6::12,:,:) ; select 4-month running means, starting
with 4-month mean centered around July
delete([/arr,temp/])
Verify that the above coding is doing what you think it is doing and the
results are as you expect, and make sure you review the runave_n_Wrap
documentation
<https://www.ncl.ucar.edu/Document/Functions/Contributed/runave_n_Wrap.shtml>.
Note that the JJAS 4 month average is placed in the July index. As January
starts at index 0, July is at index 6.
If you have further questions let ncl-talk know.
Adam
On Tue, Dec 4, 2018 at 6:55 AM Md. Jalal Uddin <dmjalal90 at gmail.com> wrote:
> Hi all,
>
> How can I analyse JJAS seasonal mean? month_to_season does not allow for
> this analysis.
>
> --
> *Md. Jalal Uddin*
> MSc in Applied Meteorology (English Language)
> Nanjing University of Information, Science and Technology, China
> B.Sc. in Disaster Management (Hons.)
> Patuakhali Science and Technology University, Bangladesh.
> Cell: +8613260859092, +8801792052662
> Web: www.dmjalal90.weebly.com
> Facebook: jalal.hossen.39
> LinkedIn: https://bd.linkedin.com/in/md-jalal-uddin-80a026b0
> Twitter: dmjalal90
> Skype: dmjalal90
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--
Adam Phillips
Associate Scientist, Climate and Global Dynamics Laboratory, NCAR
www.cgd.ucar.edu/staff/asphilli/ 303-497-1726
<http://www.cgd.ucar.edu/staff/asphilli>
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