Extract SST data in a polygon from average monthly netcdf file
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Simbarashe Chidzambwa
on 3 Mar 2023
Commented: Simbarashe Chidzambwa
on 16 Mar 2023
I am trying to extract sst data from a netcdf file in a lat/lon polygon of 25:45S and 145-215E using a script below. I have attached the text file which I created ('sst2') from the original netcdf ('202210.sst.avg.nc') file because I could not upload the original netcdf file due to unaccepted file format. When I run the script I only get an empty cell "Poly = []". Can someone help please?
data=netcdf.open('202210.sst.avg.nc','NC WRITE');
[ndim,nvar,natt,unlim]=netcdf.inq(data);
% Extract data
sst=netcdft.getVar(data,0);
lat=netcdft.getVar(data,1);
lon=netcdft.getVar(data,2);
sst(sst==-999)=NaN;
sst1=permute(sst,[2,1]);
% Reshape data to be from 90N to 90S
sst2=[sst1(180:-1:91,:);sst1(90:-1:1)];
la1=[lat(180:-1:91);lat(90:-1:1)];
T=table(sst2);
writetable(T,'sst2.txt')
%Define polygon
[X,Y]=meshgrid(lon,la1);
idx=inpolygon(X,Y,[140 215],[25 45]);
poly = nanmean(sst2(idx));
%'poly' is empty with closing square bracket when the script is run.
2 Comments
Abhijeet
on 9 Mar 2023
Hi Simbarashe,
When trying to create the file for debugging the issue, the file isn't loading. Can you try reuploading the correct file or sending the .nc file. Also, a suggestion to try the renaming the 202210.sst.avg.nc file to some standard name like 202210.nc this might help resolving the issue.
% Load data from text file
data = load('sst2.txt');
% Create NetCDF file
ncid = netcdf.create('sst2.nc','NC_WRITE');
Thanks
Accepted Answer
Peter Perkins
on 13 Mar 2023
Simbarashe, readtable and readmatrix read your file just fine, so I don't think that's the issue:
>> sst2 = readmatrix("sst2.txt");
>> whos
Name Size Bytes Class Attributes
sst2 180x360 518400 double
You have not provided the lat and lon vectors, and I'm not really able to follow your code to glean what they are. But if what you want is the data in a rectangular subset of your data (that assumes it's on a rectangular grid in lat/lon space), I would think you can just use row/column indexing and skip the thing with meshgrid and inpolygon. Something like
>> nanmean(sst2(1:10,1:10))
ans =
-1.686 -1.6809 -1.6667 -1.6505 -1.6336 -1.6096 -1.574 -1.5394 -1.5111 -1.4503
>> nanmean(sst2(1:10,1:10),"all") % or maybe
ans =
-1.6002
But it's pretty hard to tell what you have. If the output of nanmean is really [] as you say, then you have an issue with idx, which, as I said, seems like you can avoid that whole calculation.
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