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Re: [ferret_users] Convert a non-gridded ASCII data to netCDF file in Ferret



Hi Madhavan,
This data is, as you say, not on a grid, so you cannot read it directly to a grid using those commands.  You will need to read the locations and variables as 1-dimensional lists and then use a SCAT2GRID function to interpolate them to a grid.

The FILE/FORM=DELIMITED command will translate the date and time information.  An alias for that command is COLUMNS.  You can take a first look at the data with the PLOT/VS/RIBBON command to show the locations of the data, colored by the values of a variable:
yes? columns/delim=\b/var="date,time,lon,lat,var1,var2" arbsea_20060430.txt
yes? set var/units=degrees_east lon
yes? set var/units=degrees_north lat
yes? plot/vs/ribbon/thick/sym=17 lon,lat,var1
To interpolate to a grid, you would define an output grid and use the scat2gridgauss_xy or scat2gridlaplace_xy function to interpolate the data to that grid.

-Ansley


On 1/13/2015 12:28 AM, Madhavan BL wrote:
Dear All,

I have an ASCII data file with 6 columns: 
[yyyy-mm-dd  hr:mi:se  longitude(deg.E) latitude(deg.N)  var1  var2]

Since my data is not gridded properly, I am unable to convert my ASCII data file into gridded netCDF file by Ferret. While I have followed a similar post on converting an ASCII file to netCDF file when the data is properly gridded, I still could not get my code running properly to convert non-gridded ASCII data to netCDF file. I have some lat-lon issues to read by ferret. Can anyone suggest me how I can convert a non-gridded ASCII data to netCDF file in ferret? 

I am herein attaching a my ASCII data file along with the ferret code I have tried.

Look forward for your favourable response,

Thanking you in advance,
With regards,
Madhavan


----------------------------------------------------------
​ Dr. ​
Bomidi Lakshmi Madhavan
Remote Sensing of Atmospheric Processes
Leibniz Institute for Tropospheric Research (TROPOS)
Permoserstraße 15, D-04318 Leipzig, Germany
Phone: +49 (0)341 2717-7187 (Office), +49 (0)1578 8467548 (Mobile)
E-Mail: madhavan.bomidi@xxxxxxxxxblmadhavan@xxxxxxxxx
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