this dataset gives memroy problems, we will replace it with more efficient...

this dataset gives memroy problems, we will replace it with  more efficient way of storing the KG matrix

da/baseclasses/optimizer.py

@@ -284,13 +284,13 @@ class Optimizer(object):
             savedict['comment'] = 'Flag (0/1/2/99) for observation value, 0 means okay, 1 means QC error, 2 means rejected, 99 means not sampled'
             f.add_data(savedict)
 
-            savedict = io.std_savedict.copy()
-            savedict['name'] = "kalmangainmatrix"
-            savedict['long_name'] = "kalmangainmatrix"
-            savedict['units'] = "unitless molefraction-1"
-            savedict['dims'] = dimstate + dimobs
-            savedict['values'] = self.KG.tolist()
-            savedict['comment'] = 'Kalman gain matrix of all obs and state vector elements'
+            #savedict = io.std_savedict.copy()
+            #savedict['name'] = "kalmangainmatrix"
+            #savedict['long_name'] = "kalmangainmatrix"
+            #savedict['units'] = "unitless molefraction-1"
+            #savedict['dims'] = dimstate + dimobs
+            #savedict['values'] = self.KG.tolist()
+            #savedict['comment'] = 'Kalman gain matrix of all obs and state vector elements'
             #dummy                   = f.add_data(savedict)
 
         f.close()