[ncl-talk] inverse weighted distance

[Kunal Bali]

Dear NCL users,

I need to calculate the inverse weighted distance according to the attached
figure

The formula is
*xAvg = SUM[X/w]/SUM[1/w]*.  equation (1)

So first I need to calculate the distance from surrounding grid cells to
the receptor cell

receptor cell coordinates
  latz = (/23.285/)
  lonz = (/77.276/)

I don't know how to calculate this distance from single receptor site to
its surroundings grid cells. Surrounding grid cells spread ~500 km.


I have calculated the *X* here (which is a coefficient of divergence)

and the coefficient of divergence is calculated as
 ;-----calculation of the coefficient of divergence
   DATA_SINGLE_3D = conform(data_subset, data_single, 0)
   x1 = (DATA_SINGLE_3D - data_subset)
   x2 = (DATA_SINGLE_3D + data_subset)
   CoD1   = (x1/where(x2.ne.0,x2,x2 at _FillValue))^2

   CoD2 = dim_avg_n_Wrap(CoD1, 0)    ; (nlat,mlon)
   CoD_final = sqrt(CoD2)




So please provide some information on that. I have attached the script here.

regards
---
Kunal Bali
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