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<p class="MsoNormal">Dear all, <o:p></o:p></p>
<p class="MsoNormal">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).
<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">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…<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Should it be something like this?<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">ak=F->AveragingKernel(vid,:,:) ; vid means valid observation meeting certain criteria<o:p></o:p></p>
<p class="MsoNormal">ak@_FillValue = -999<o:p></o:p></p>
<p class="MsoNormal">;averaging kernel for HDO<o:p></o:p></p>
<p class="MsoNormal">Add = ak(:,ns:16,ns:16)<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">But the result of the corrected HDO using this averaging kernel does not seem right. Hope you would offer me more suggestions on this.<o:p></o:p></p>
<p class="MsoNormal">Thank you very much. <o:p></o:p></p>
<p class="MsoNormal">Best,<o:p></o:p></p>
<p class="MsoNormal">Xiaoxin<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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