diff --git a/2_norm_consts.ipynb b/2_norm_consts.ipynb
index 26d2a7873bf1c2241b0b3199f7986be2177b4836..9f3a5cc9bcd4efcb28bbe3204f07468db0c2f92a 100644
--- a/2_norm_consts.ipynb
+++ b/2_norm_consts.ipynb
@@ -14,8 +14,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "DATADIR = 'processed_era5/'\n",
-    "FIREDATADIR = 'processed_fire_data/'"
+    "DATADIR = 'processed_data/'"
    ]
   },
   {
@@ -104,11 +103,11 @@
    "source": [
     "for var in target_vars:\n",
     "  tmp = [] #save values from all time steps and locations into this list and then compute mean and std\n",
-    "  files = sorted(os.listdir(FIREDATADIR+var)) #SHOULD NOT CONTAIN ANY OTHER FILES THAN THOSE CREATED IN 1_prepareData.ipynb\n",
+    "  files = sorted(os.listdir(DATADIR+var)) #SHOULD NOT CONTAIN ANY OTHER FILES THAN THOSE CREATED IN 1_prepareData.ipynb\n",
     "  for f in tqdm(files):\n",
     "    y,m,d=f.split('_')\n",
     "    if int(y) in train and int(m) in months:\n",
-    "      t_array = np.load(FIREDATADIR+var+'/'+f)\n",
+    "      t_array = np.load(DATADIR+var+'/'+f)\n",
     "      t_array[np.isnan(t_array)] = 0      \n",
     "      tmp += list(t_array.flatten())\n",
     "  mean, std = np.mean(tmp), np.std(tmp)\n",