[ncl-talk] dim_variance_n_Wrap

[Dennis Shea]

More:
*dim_variance_n_Wrap*(prc_reorder,*0*)   ; variance over *all days*:  *DRY
and WET* seasons

Consider Pune, India.
   (say; made up numbers) day 170:   mean over DRY and WET seasons 10mm;
range 0-500mm


On Thu, Jan 17, 2019 at 2:12 PM Dennis Shea <shea at ucar.edu> wrote:

> Well, you live with the monsoon.
>
> Some days have zero precipitation and some monsoon days have VERY LARGE
> daily amounts.
> Hence large variance.
>
> On Wed, Jan 16, 2019 at 10:53 PM Md. Jalal Uddin <dmjalal90 at gmail.com>
> wrote:
>
>> Hi all,
>>
>> I am getting a too large variation of rainfall. I used
>> dim_variance_n_Wrap function to calculate variance. The first figure is for
>> the mean rainfall and the second one is for variance at the same time.
>>
>> Could anyone help me to understand where I am wrong?
>>
>> Variable: prc_reorder
>> Type: double
>> Total Size: 491961600 bytes
>>             61495200 values
>> Number of Dimensions: 3
>> Dimensions and sizes: [time | 2847] x [latitude | 120] x [longitude |
>> 180]
>> Coordinates:
>>             time: [ 120..6939]
>>             latitude: [0.125..29.875]
>>             longitude: [65.125..109.875]
>> Number Of Attributes: 4
>>   missing_value : -nan
>>   _FillValue : -nan
>>   units : mm
>>   long_name : precipitation
>>
>> Best regards,
>> Jalal
>> --
>> *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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>
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