netcdf read, filling missing data by interpolation and write output nc file
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Hello
I was trying to read a nc file (file_in), fill missing data and create a new file (file_out) that filled the missing values using interpolation.
I write the code below. However, its doesn't give the desired output. I attached a sample input data if someone could help me in figuring out there the code went wrong or anyother way of ding it. Thanks
function fill_missing_data(file_in, file_out)
ncid_inp = netcdf.open(file_in,'NC_NOWRITE');
ncid_out = netcdf.create(file_out,'NC_CLOBBER');
info_inp = ncinfo(file_in);
[ndims,nvars,ngatts,unlimdimid] = netcdf.inq(ncid_inp);
for ii = 1:ndims
[dimname, ndim] = netcdf.inqDim(ncid_inp,ii-1);
%disp(['Inp: Dimension name:' dimname])
switch dimname
case 'lat'
ndim = lat;
case 'lon'
ndim = lon;
case 'time'
ndim = time;
% dimid(ii) = netcdf.defDim(ncid_out,dimname,netcdf.getConstant('NC_UNLIMITED'));
% otherwise
% for ii=1:length(info_inp.Dimensions)
% [dimname, dimlen] = netcdf.inqDim(ncid_inp,ii-1);
% end
% dimid(ii) = netcdf.defDim(ncid_out,dimname,dimlen);
case 'nc10'
ndim = nc10;
case 'nc11'
ndim = nc11;
case 'nc12'
ndim = nc12;
case 'nc13'
ndim = nc13;
case 'nc14'
ndim = nc14;
case 'nc15'
ndim = nc15;
end
dimid(ii) = netcdf.defDim(ncid_out,dimname,ndim);
end
% +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
%
% Define variables
%
% +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
for ivar = 1:nvars
[varname,xtype,dimids,natts] = netcdf.inqVar(ncid_inp,ivar-1);
varid(ivar) = netcdf.defVar(ncid_out,varname,xtype,dimids);
varnames{ivar} = varname;
for iatt = 1:natts
attname = netcdf.inqAttName(ncid_inp,ivar-1,iatt-1);
attvalue = netcdf.getAtt(ncid_inp,ivar-1,attname);
netcdf.putAtt(ncid_out,ivar-1,attname,attvalue);
end
end
% +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
%
% Copy variables
%
% +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
for ivar = 1:nvars
data = netcdf.getVar(ncid_inp,ivar-1);
[varname,vartype,vardimids,varnatts] = netcdf.inqVar(ncid_inp,ivar-1);
switch varname
case 'EDGEE'
netcdf.putVar(ncid_out,ivar-1,data);
case 'EDGEW'
netcdf.putVar(ncid_out,ivar-1,data);
case 'EDGEN'
netcdf.putVar(ncid_out,ivar-1,data);
case 'EDGES'
netcdf.putVar(ncid_out,ivar-1,data);
case 'LONGXY'
netcdf.putVar(ncid_out,ivar-1,data);
case 'LATIXY'
netcdf.putVar(ncid_out,ivar-1,data);
case 'PSRF'
data = fillmissing(data, 'linear') ;
netcdf.putVar(ncid_out,ivar-1,data);
case 'time'
netcdf.putVar(ncid_out,ivar-1,data);
case 'TBOT'
data = fillmissing(data, 'linear') ;
netcdf.putVar(ncid_out,ivar-1,data);
case 'WIND'
data = fillmissing(data, 'linear') ;
netcdf.putVar(ncid_out,ivar-1,data);
case 'RH'
data = fillmissing(data, 'linear') ;
netcdf.putVar(ncid_out,ivar-1,data);
case 'FLDS'
data = fillmissing(data, 'linear') ;
netcdf.putVar(ncid_out,ivar-1,data);
case 'FSDS'
data = fillmissing(data, 'linear') ;
netcdf.putVar(ncid_out,ivar-1,data);
case 'PRECTmms'
data = fillmissing(data, 'linear') ;
netcdf.putVar(ncid_out,ivar-1,data);
case 'zbot'
netcdf.putVar(ncid_out,ivar-1,data);
end
% netcdf.putVar(ncid_out,ivar-1,data);
end
netcdf.close(ncid_inp);
netcdf.close(ncid_out);
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