[ncl-talk] Running average

[Dennis Shea]

Better:

navg        = 5
xRunAvg = ...
nStrt        = navg/2
xBlock_5 = xRunAvg(nStrt::navg,:,:)

navg        = 7
xRunAvg = ...
nStrt        = navg/2
xBlock_7 = xRunAvg(nStrt::navg,:,:)

On Mon, Dec 3, 2018 at 3:19 PM Dennis Shea <shea at ucar.edu> wrote:

> Hi Soma,
>
> What you want are *block* 5-day and 7-day averages. EG: *"73* times for a
> *365* day series."
> It is your responsibility to be clear on your objective.
> Otherwise, people spend their valuable time trying to figure out what you
> want.
>
> x(time, lat, lon)     .... (ntim,nlat,mlon)
>      0      1    2     <=== dimension numbers [ Please read NCL
> documentation]
>
> Two approaches:
>
> [1]
>
>    endopt = ... ; -1, 0, 1   PLEASE read the documentation
>    ndim_time = 0
>
>    navg = 5
>    xRunAvg = *runave_n_Wrap
> <http://www.ncl.ucar.edu/Document/Functions/Contributed/runave_n_Wrap.shtml>(*x,
> navg, endopt, ndim_time)  ; classic running average (ntim,nlat,mlon)
>    xBlock_5 = xRunAvg(::navg,:,:)
>    printVarSummary(xBlock_5)
>
>    navg = 7
>    xRunAvg = *runave_n_Wrap
> <http://www.ncl.ucar.edu/Document/Functions/Contributed/runave_n_Wrap.shtml>(*x,
> navg, endopt, ndim_time)  ; classic running average (ntim,nlat,mlon)
>    xBlock_7 = xRunAvg(::navg,:,:)
>    printVarSummary(xBlock_7)
>
> [2]
>
> *http://www.ncl.ucar.edu/Document/Functions/Contributed/calculate_segment_values.shtml*
> <http://www.ncl.ucar.edu/Document/Functions/Contributed/calculate_segment_values.shtml>
>
> This requires that 'time' have CF conforming units. I suggest you use [1].
>
> On Mon, Dec 3, 2018 at 2:27 PM Soma Roy <somaroy892 at gmail.com> wrote:
>
>> Hello,
>>
>> I used the example 2 from the below link;
>> https://www.ncl.ucar.edu/Document/Functions/Built-in/runave_n.shtml
>>
>> But there is no change in output time dimension.
>> I used 365 days data over nlat x nlon as input.
>>
>> I set nave=5 with expectation to get nlat x nlon for 73 times in output.
>>
>> But there is no change in output dimensions. Then how to extract 5 days
>> running avg. over 365 days dataset?
>>
>> Kindly inform me.
>>
>> Thanking you,
>> Soma
>>
>> On Mon, Dec 3, 2018, 21:10 Soma Roy <somaroy892 at gmail.com wrote:
>>
>>> Thanks for the hints
>>>
>>> Soma
>>>
>>> On Mon, Dec 3, 2018, 19:21 Appo derbetini <appopson4 at gmail.com wrote:
>>>
>>>> Hi,
>>>> I think that you easily do it with
>>>> *https://www.ncl.ucar.edu/Document/Functions/Built-in/runave_n.shtml
>>>> <https://www.ncl.ucar.edu/Document/Functions/Built-in/runave_n.shtml>*
>>>>
>>>> Regards
>>>>
>>>> Le lun. 3 déc. 2018 à 10:54, Soma Roy <somaroy892 at gmail.com> a écrit :
>>>>
>>>>> Thank you.
>>>>> Efficient way to do.
>>>>>
>>>>> But I would like to know also the steps for this by using ncl.
>>>>>
>>>>> Thanks,
>>>>> Soma
>>>>>
>>>>> On Mon, Dec 3, 2018, 15:14 Oluwaseun Ilori <wilseun at gmail.com wrote:
>>>>>
>>>>>> Cdo will do it easily and better
>>>>>>
>>>>>> cdo -timselmean,5 infile outfile
>>>>>>
>>>>>>
>>>>>> On Mon, Dec 3, 2018, 10:36 AM Soma Roy <somaroy892 at gmail.com wrote:
>>>>>>
>>>>>>> Hello,
>>>>>>>
>>>>>>> I am using daily gridded rainfall datasets.
>>>>>>> I want to compute 5 days and 7 days running avg. of rainfall from
>>>>>>> the datasets over each grid points.
>>>>>>>
>>>>>>> Structure of the input file is like below;
>>>>>>>
>>>>>>> Rain (730, 129, 135)  ; (time (365*2), lat, lon)
>>>>>>>
>>>>>>> Please kindly inform me which function should I use in this case.
>>>>>>>
>>>>>>> Thanking you,
>>>>>>> Soma
>>>>>>>
>>>>>>>
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