diff --git a/modules/util/acspo_validate.py b/modules/util/acspo_validate.py
index a503e78d3cc407f057dfee264e1ce3af008fed7b..e3ae56222efb0740bb01c4dddb0bec6449290137 100644
--- a/modules/util/acspo_validate.py
+++ b/modules/util/acspo_validate.py
@@ -1,5 +1,6 @@
 import numpy as np
 import h5py
+import xarray as xr
 
 from util.util import get_grid_values_all
 
@@ -68,13 +69,37 @@ def acspo_validate(oper_file, cspp_file):
     both_clear = oper_clear & cspp_clear
     sst_cspp = sst_cspp[both_clear]
     sst_oper = sst_oper[both_clear]
+    lon_cspp = lon_cspp.flatten()
+    lat_cspp = lat_cspp.flatten()
+    lon_oper = lon_oper.flatten()
+    lat_oper = lat_oper.flatten()
+    lon_cspp = lon_cspp[both_clear]
+    lat_cspp = lat_cspp[both_clear]
+    lon_oper = lon_oper[both_clear]
+    lat_oper = lat_oper[both_clear]
 
     both_valid = np.invert(np.isnan(sst_cspp)) & np.invert(np.isnan(sst_oper))
     print('number of clear and valid SSTs in both: ', np.sum(both_valid))
+    valid_sst_cspp = sst_cspp[both_valid]
+    valid_sst_oper = sst_oper[both_valid]
+    valid_lon_cspp = lon_cspp[both_valid]
+    valid_lat_cspp = lat_cspp[both_valid]
+    valid_lon_oper = lon_oper[both_valid]
+    valid_lat_oper = lat_oper[both_valid]
+
+    xarray_data = xr.Dataset({
+        'sst_cspp': xr.DataArray([valid_sst_cspp], coords=None, dims=None, name='sst_cspp'),
+        'sst_oper': xr.DataArray([valid_sst_oper], coords=None, dims=None, name='sst_oper'),
+        'cspp_lat': xr.DataArray([valid_lat_cspp], coords=None, dims=None, name='cspp_lat'),
+        'cspp_lon': xr.DataArray([valid_lon_cspp], coords=None, dims=None, name='cspp_lon'),
+        'oper_lat': xr.DataArray([valid_lat_oper], coords=None, dims=None, name='oper_lat'),
+        'oper_lon': xr.DataArray([valid_lon_oper], coords=None, dims=None, name='oper_lon'),
+    })
+    xarray_data.to_netcdf('/Users/tomrink/sst_values.nc')
 
     print('fraction approx equal: ',
-          np.sum(np.isclose(sst_cspp[both_valid], sst_oper[both_valid], rtol=0.001))/np.sum(both_valid))
+          np.sum(np.isclose(valid_sst_cspp, valid_sst_oper, rtol=0.001))/np.sum(both_valid))
     # print(np.histogram((sst_cspp[both_valid] - sst_oper[both_valid]), bins=10))
 
-
-
+    h5f_oper.close()
+    h5f_cspp.close()
\ No newline at end of file