# [gradsusr] OLR ANOMALY INDEX STANDARDIZATION

Carlos Batista krlosbatist at gmail.com
Thu Jan 22 07:53:02 EST 2015

```So make the media your data minus the mean divided by the standard deviation
!

Cheers!
Carlos Batista

2015-01-22 10:20 GMT-02:00 Rekha Bharali <rekha.bharali06 at gmail.com>:

> Yes I want to calculate the standardize value given in the CPC data file
> from the original data from the same file attached with this file
> On Jan 22, 2015 5:04 PM, "Carlos Batista" <krlosbatist at gmail.com> wrote:
>
>> I see your date...
>>
>> The normalized is make
>>
>> your data value (X) minus the average this data (x), divided by the
>> standard deviation of a time series (y)
>>
>> n=X-x/y
>>
>> you'll do  average this your data by OLR?
>>
>> 2015-01-22 9:20 GMT-02:00 Rekha Bharali <rekha.bharali06 at gmail.com>:
>>
>>> Thank you for your prompt reply.
>>>
>>> Actually what I am doing is :
>>>
>>> (1) Calculate mean for the base period 1981-2010
>>> (2) Calculate standard deviation  for the above period
>>> (3) Standardize the OLR anomaly by the following formula:
>>>
>>>                      (present OLR-base period mean) / standard deviation
>>>
>>> But I am not sure whether I am doing it correct or not. Because my
>>> result does not match with the standard value attached with this mail.
>>>
>>> I think the standardization method is different then what I am doing.
>>>
>>> I will follow your suggestion and let you know.
>>> Thank you
>>>
>>> On 1/22/15, Carlos Batista <krlosbatist at gmail.com> wrote:
>>> > You want to split the average standard deviation?
>>> >
>>> > ******************************************
>>> > * Remove by variable tend
>>> > ******************************************
>>> > *my variable number 1****
>>> >
>>> > ltrend vaz.2 vazm slope12 rmse12
>>> > define dvaz12=vaz.2-vazm
>>> >
>>> > ***** If you want to make average moving*****
>>> > rmean dvaz12 6 dvaz6mm
>>> > *************************************************
>>> > *my variable 2****
>>> > ltrend mediaan mediaand s e
>>> > define mediaanm=mediaan-mediaand
>>> >
>>> > ******************************************
>>> > * Here I normalizeted my variables  - Divided by the standard deviation
>>> > ******************************************
>>> >
>>> > dp1=sqrt(ave(pow(dvaz6mm,2),t=1,t=33))
>>> > set ccolor 1
>>> > set cthick 6
>>> > set cmark 0
>>> > d dvaz6mm/dp1
>>> >
>>> > dp2=sqrt(ave(pow(mediaanm,2),t=1,t=33))
>>> > set gxout bar
>>> > set bargap 40
>>> > set barbase 0
>>> > set baropts outline
>>> > set ccolor 4
>>> > d mediaanm/dp2
>>> >
>>> > **************************************
>>> >
>>> > The rmean you find in
>>> >
>>> > *...http://www.atmos.umd.edu/~bguan/grads/GrADS_Scripts.html
>>> > <http://www.atmos.umd.edu/~bguan/grads/GrADS_Scripts.html>*
>>> >
>>> > Carlos
>>> >
>>> >
>>> > 2015-01-22 3:33 GMT-02:00 Rekha Bharali <rekha.bharali06 at gmail.com>:
>>> >
>>> >> Can anybody please help me with a grads script to calculate
>>> Standardize
>>> >> OLR anomaly index
>>> >> using Grads. It will be agreat help.
>>> >>
>>> >> --
>>> >>
>>> .......................................................................
>>> >> Rekha Bharali Gogoi
>>> >> NE-SAC
>>> >> Dept. of Space
>>> >> Govt. of India
>>> >> Meghalaya
>>> >>
>>> >> _______________________________________________
>>> >> gradsusr mailing list
>>> >> gradsusr at gradsusr.org
>>> >> http://gradsusr.org/mailman/listinfo/gradsusr
>>> >>
>>> >>
>>> >
>>>
>>>
>>> --
>>> .......................................................................
>>> Rekha Bharali Gogoi
>>> Scientist 'SC'
>>> NE-SAC
>>> Dept. of Space
>>> Govt. of India
>>> Meghalaya
>>>
>>> _______________________________________________
>>> gradsusr mailing list
>>> gradsusr at gradsusr.org
>>> http://gradsusr.org/mailman/listinfo/gradsusr
>>>
>>>
>>
>> _______________________________________________
>> gradsusr mailing list
>> gradsusr at gradsusr.org
>> http://gradsusr.org/mailman/listinfo/gradsusr
>>
>>
> _______________________________________________
> gradsusr mailing list
> gradsusr at gradsusr.org
> http://gradsusr.org/mailman/listinfo/gradsusr
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://gradsusr.org/pipermail/gradsusr/attachments/20150122/8c27c2f4/attachment-0001.html
```

More information about the gradsusr mailing list