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[ferret_users] interpolation to make an uniform NaN in data for all time steps



Dear Ferreters,

I am facing a problem that in my data set I dont have uniform NaN locations i.e. location of NaN is changing with time so as the Number of Good Points. So I thought to use interpolation to make uniform NaN location at all time steps. such that Number of Good Points will be same at all time steps. 

let rain1=rain[x=@fln:5,y=@fln:5]
list rain1[x=@ngd,y=@ngd], rain[x=@ngd,y=@ngd]
             DATA SET: ./rain_land.nc
             TIME: 16-JAN-1961 00:00 to 16-DEC-2017 00:00 360_DAY
             LONGITUDE: 112E to 154E (XY # valid)
             LATITUDE: 44S to 10S (XY # valid)
 Column  1: RAIN1 is RAIN[X=@FLN:5,Y=@FLN:5]
 Column  2: RAIN is RAIN2[D=1]*MASK[GXY=ROSEXY]
                     RAIN1    RAIN
01-FEB-1961 /   1:  372084.  251863.
16-APR-1961 /   2:  372084.  252028.
16-JUL-1961 /   3:  372200.  251145.
16-OCT-1961 /   4:  372200.  252175.
16-JAN-1962 /   5:  372200.  252582.
16-APR-1962 /   6:  372200.  252074.
16-JUL-1962 /   7:  372200.  252014.
16-OCT-1962 /   8:  372200.  251934.
16-JAN-1963 / &#x

Attachment: rain1.png
Description: PNG image

Attachment: rain.png
Description: PNG image


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