added dropnan statement

scripts/coarse_cci_sst.py

@@ -64,6 +64,8 @@ xx = xr.DataArray(df.lon.values, dims='z')
 cci_sst_in_buoy_cord = sst_data.analysed_sst.interp(lat=yy, lon=xx)
 cci_sst_in_buoy_cord = cci_sst_in_buoy_cord.to_dataframe().analysed_sst.values
 df = df.assign(cci_sst=cci_sst_in_buoy_cord)
+# Get rid of NaN values in cci_sst
+df = df.dropna(subset=['cci_sst'])
 
 # Lets build the gridded product
 x = df.lon.values