diff --git a/pipelines/steps/apply_calibration_factors.py b/pipelines/steps/apply_calibration_factors.py
index 820d0da..0d3e756 100644
--- a/pipelines/steps/apply_calibration_factors.py
+++ b/pipelines/steps/apply_calibration_factors.py
@@ -36,7 +36,7 @@ import yaml
 import dima.src.hdf5_ops as dataOps
 import dima.utils.g5505_utils as utils
 import pipelines.steps.utils as stepUtils
-
+from pipelines.steps.utils import generate_error_dataframe
 
 def compute_calibration_factors(data_table, datetime_var_name, calibration_params, calibration_factors):
     """
@@ -300,27 +300,39 @@ if __name__ == '__main__':
         print(f'Output directory : {path_to_output_folder}')
 
         # Apply calibration factors to input data_table and generate data lineage metadata
-        calibration_factor_table, calibrated_table = apply_calibration_factors(data_table, datetime_var, args.calibration_file) #calibration_factors)  
-        
-        metadata = {'actris_level' : 1, 
-                    'processing_script': processingScriptRelPath.replace(os.sep,'/'),
-                    'processing_date' : utils.created_at(),
+        calibration_factor_table, calibrated_table = apply_calibration_factors(data_table, datetime_var, args.calibration_file) #calibration_factors) 
+        calibrated_table_err = generate_error_dataframe(calibrated_table, datetime_var) 
+
+        # Define suffix to dataframe map to streamline dataframe export
+        suffix_to_dataframe_dict = {'calibrated.csv': calibrated_table,
+                                    'calibrated_err.csv': calibrated_table_err, 
+                                    'calibration_factors.csv': calibration_factor_table}
+
+        metadata = {'actris_level': 1, 
+                    'processing_script': processingScriptRelPath.replace(os.sep, '/'),
+                    'processing_date': utils.created_at(),
                     'datetime_var': datetime_var}
-        
+
         # Save output tables to csv file and save/or update data lineage record
         filename, ext = os.path.splitext(parent_file)
-        path_to_calibrated_file = '/'.join([path_to_output_folder, f'{filename}_calibrated.csv'])
-        path_to_calibration_factors_file = '/'.join([path_to_output_folder, f'{filename}_calibration_factors.csv'])
-        
-        calibrated_table.to_csv(path_to_calibrated_file, index=False)
-        calibration_factor_table.to_csv(path_to_calibration_factors_file, index=False)
-        
-        status = stepUtils.record_data_lineage(path_to_calibrated_file, projectPath, metadata)
-        status = stepUtils.record_data_lineage(path_to_calibration_factors_file, projectPath, metadata)
+        if not ext:
+            filename += '.csv'  # Handle edge case for missing file extension
+
+        for suffix, data_table in suffix_to_dataframe_dict.items():
+            # Form path to output file
+            path_to_output_file = os.path.join(path_to_output_folder, f'{filename}_{suffix}')
+            
+            try:
+                data_table.to_csv(path_to_output_file, index=False)
+                print(f"Saved {filename}_{suffix} to {path_to_output_folder}")
+            except Exception as e:
+                print(f"Failed to save {path_to_output_file} due to: {e}")
+                continue
+            
+            # Record data lineage
+            metadata['suffix'] = suffix
+            status = stepUtils.record_data_lineage(path_to_output_file, projectPath, metadata)
 
-        print('Calibration factors saved to', path_to_calibration_factors_file)
-        print(f"Calibrated data saved to {path_to_calibrated_file}")
-        print(f"Data lineage saved to {path_to_output_dir}")
 
     except Exception as e:
         print(f"Error during calibration: {e}")