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 /
Attachment:
rain1.png
Description: PNG image
Attachment:
rain.png
Description: PNG image
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