[ncl-talk] inverse weighted distance
Kunal Bali
kunal.bali9 at gmail.com
Sat Oct 13 01:19:07 MDT 2018
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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