[ncl-talk] 4 sub-blocks of a 3D matrix in satellite data

[Yang, Xiaoxin]

Dear all,
I'm processing the TES-Aura satellite data for HDO, but could not figure out the structure of the 4 sub-blocks of a 3D matrix, i.e., averagingkernel(grid-targets*grid_pressure_composite*grid_pressure_composite).

As is stated in the guide, the averagingkernel consists of 4 sub-blocks of the matrix [0,0],[1,0],[0,1] and [1,1]. Subblock [0,0] ranges from indices ns to 16, and subblock[1,1] ranges from indices 17+ns to 33...

Should it be something like this?

ak=F->AveragingKernel(vid,:,:) ; vid means valid observation meeting certain criteria
ak at _FillValue = -999
;averaging kernel for HDO
Add = ak(:,ns:16,ns:16)

But the result of the corrected HDO using this averaging kernel does not seem right. Hope you would offer me more suggestions on this.
Thank you very much.
Best,
Xiaoxin

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