code: def obtain_to(filename, compressed=True):
      
      files = glob.glob(filename)
      root, _ = nc.open(filename)
      lat, lon = nc.getvar(root, 'lat')[0,:], nc.getvar(root, 'lon')[0,:]
      date_str = lambda f: ".".join((f.split('/')[-1]).split('.')[1:-2])
      date = lambda f: datetime.strptime(date_str(f), "%Y.%j.%H%M%S")
      linke = lambda f: transform_data(obtain(date(f), compressed), lat, lon)
      linkes_projected = map(lambda f: (f, linke(f)), files)
      nc.close(root)
      return dict(linkes_projected)
docs: Return the linke turbidity projected to the lat lon matrix coordenates.
  
      Keyword arguments:
      filename -- the name of a netcdf file.