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Interp2 usage with Coordinates

9 vues (au cours des 30 derniers jours)
Tim Holgate
Tim Holgate le 8 Fév 2021
Hello,
I have two data sets: a sea surface salinity product for the southern ocean, in a 38 x 1388 x 12 3D Array, in which the data is in 25km x 25km grid (arranged by Lat, Lon, Month). I also have an ocean mixed layer depth product for the Southern Ocean in a 41 x 720 x 12 3D Array, in which data is in a 0.5 degree x 0.5 degree grid (again arranged by lat, lon , month). In order to calculate the salinity budget I have to get these 2 data sets on to the same grid (AKA: the latitudes and longitudes need to match).
This is the code I am using to try and translate the data across onto a grid with the same coordinates as january_clim_sss (sss= sea surface salinity, mld is mixed layer depth)
I have tried this multiple times, switiching around the x ad y values, and each time get the following error notification:
Error using griddedInterpolant
Sample points vector corresponding to grid dimension 1 must contain 720 elements.
Error in interp2>makegriddedinterp (line 226)
F = griddedInterpolant(varargin{:});
Error in interp2 (line 126)
F = makegriddedinterp({X, Y}, V, method,extrap);
Error in GRIDDING (line 1)
january_mld_cor=interp2(lat_sss_so,lon_sss_so,January_Mld,lat_mld_so,lon_mld_so);
Can anyone help me with this issue?
Thanks in advance!!

Réponse acceptée

Shiva Kalyan Diwakaruni
Shiva Kalyan Diwakaruni le 11 Fév 2021
Hi,
As a workaround, use in-built function 'griddedInterpolant' to achieve the same goal.
As an demonstration, refer to the following code snippet:
>>[X1,Y1] = ndgrid(X,Y);
>>F=griddedInterpolant(X1,Y1,Z,'cubic');
>>[XI,YI]=ndgrid(a,b);
>>Vq= F(XI,YI);
you can follow the below link for more information on griddedInterpolant'
thanks.

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