I would like to read in multiple SST netcdf files and from each file extract the SST data in selected lat, lon range and then store this data in a three dimensional panda dataframe. Closing each netcdf after it has been read to save memory. I would like to end with one dataframe of a years worth of daily data. I have read one file with NetCDF4 and stored each variable but that is as far as I have got. my_file = 'C:/Users/lisa/Desktop/Sean/20160719000127-UoS-L2i-SSTskin-ISAR_002-D054_PtA-v01.0-fv01.5.nc' fh = netCDF4.Dataset(my_file, mode='r') lon = fh.variables['lon'][:] lat = fh.variables['lat'][:] time = fh.variables['time'][:] sst = fh.variables['sea_surface_temperature'][:] The data is from OPeNDAP for 2016 from the following address. http://www.ifremer.fr/opendap/cerdap1/ghrsst/l4/saf/odyssea-nrt/data/ Any help would be much appreciated!! Continue reading...
