diff --git a/Tutorials/T5_Data_Assimilation.m b/Tutorials/T5_Data_Assimilation.m
index e9ed4b49..65a01cca 100644
--- a/Tutorials/T5_Data_Assimilation.m
+++ b/Tutorials/T5_Data_Assimilation.m
@@ -186,4 +186,8 @@
 % Furthermore, we can check that the Ye values are the same as would have
 % been calculated for the full ensemble.
 Y2 = dash.calculateYe( M2, F );
-isequal( Y1, Y2 )
\ No newline at end of file
+isequal( Y1, Y2 );
+
+% Do get covariance localization weights for the new ensemble, proceed as
+% normal using
+w = dash.localizationWeigths( [last, lons], ens.metadata, 10000 );
\ No newline at end of file