diff --git a/DataRequest.py b/ERA5_Data_Request.py
similarity index 97%
rename from DataRequest.py
rename to ERA5_Data_Request.py
index 9a79004..c89a48c 100644
--- a/DataRequest.py
+++ b/ERA5_Data_Request.py
@@ -36,17 +36,17 @@ south_lim          = -90
 """
 Start and end time for atmospheric data:
 """
-startdate = '2012-12-08'  # also acts as launch data of ERA5 data for ascent
+startdate = '2012-12-08'  # also acts as start date of atmospheric ERA5 data for ascent
 enddate   = '2013-02-01'
 
-ascent_window = 10  # time length of ERA5 data for ascent phase in (full) days from start date
+ascent_window = 10  # time length of ERA5 data for ascent phase in (full!) days from start date
 
 """
 Operations you want to be performed:
 """
 ascent_only = False  # True   # get only ERA5 data for ascent (e. g. for new location or time within same region)
-download    = True  # True   # download raw ERA5 files
-stitch      = False   # False  # create stitched files
+download    = True   # True   # download raw ERA5 files
+stitch      = True   # False  # create stitched files
 delete      = False  # False  # delete original files
 
 
@@ -215,8 +215,8 @@ if download == True:
         endascent = [str(i + 1).zfill(2) for i in range(ascent_window - len(startdays) + 1)]
     else:
         short_ascent = 1
-        startdays = [str(startday + i).zfill(2) for i in range(
-            (date(year2, next_month, 1) - date(start.year, start.month, 1)).days - startday + 1)]
+        startdays = [str(start.day + i).zfill(2) for i in range(
+            (date(year2, next_month, 1) - date(start.year, start.month, 1)).days - start.day + 1)]
         ascentdays = [str(start.day + i).zfill(2) for i in range(ascent_window)]
 
     if end.year == start.year:
@@ -276,7 +276,7 @@ if download == True:
                 for m in range(12 - start.month):
                     ERAsingle(start.year, start.month + 1 + m, days, north_lim, south_lim, east_lim, west_lim,
                               os.path.join(folder, "single" + str(m + 2) + ".nc"))
-                    ERAlevelFloat(, start.month + 1 + m, days, north_lim, south_lim, east_lim, west_lim,
+                    ERAlevelFloat(start.year, start.month + 1 + m, days, north_lim, south_lim, east_lim, west_lim,
                                   os.path.join(folder, "float" + str(m + 2) + ".nc"))
                     count1 = m + 2
                 for m in range(end.month - 1):