diff --git a/modules/icing/pirep_goes.py b/modules/icing/pirep_goes.py
index e637b0e418279e9e4d792844862382081787595a..9fd0ea3ecc7f9ceefd0e9c99b36cd192e8a3a393 100644
--- a/modules/icing/pirep_goes.py
+++ b/modules/icing/pirep_goes.py
@@ -1041,7 +1041,6 @@ def run_qc(filename, filename_l1b, day_night='ANY', pass_thresh_frac=0.20, icing
     keep_idxs = []
 
     for i in range(len(mask)):
-        keep_idxs.append(idxs[i])
         # frac = np.sum(mask[i]) / nx_x_ny
         frac = np.sum(mask[i]) / num_tested[i]
         if icing:
@@ -1049,6 +1048,7 @@ def run_qc(filename, filename_l1b, day_night='ANY', pass_thresh_frac=0.20, icing
                 keep_idxs.append(idxs[i])
         elif frac > pass_thresh_frac:
             keep_idxs.append(idxs[i])
+        # keep_idxs.append(idxs[i])
 
     print('day_night, icing, all, valid, pass: ', day_night, icing, len(icing_alt), len(mask), len(keep_idxs))
     print('-----------------------')
@@ -1277,8 +1277,8 @@ def apply_qc_icing_pireps(icing_alt, cld_top_hgt, cld_geo_dz, cld_phase, cld_opd
         keep = np.where(keep, (cld_top_hgt[i,] - max_cld_depth) < icing_alt[i], False)
 
         # keep = np.where(keep, np.logical_and(bt_11um[i,] > 228.0, bt_11um[i,] < 270.0), False)
-        keep = np.where(keep, bt_11um[i,] < 275.0, False)
-        # keep = np.where(keep, cld_top_temp[i,] < 275.0, False)
+        # keep = np.where(keep, bt_11um[i,] < 275.0, False)
+        keep = np.where(keep, cld_top_temp[i,] < 275.0, False)
 
         # cld_hgt = cld_top_hgt[i, ].flatten()
         # med_cld_hgt = np.median(cld_hgt[keep])
@@ -1355,8 +1355,8 @@ def apply_qc_no_icing_pireps(icing_alt, cld_top_hgt, cld_geo_dz, cld_phase, cld_
         keep = np.where(keep, (cld_top_hgt[i,] - max_cld_depth) < icing_alt[i], False)
 
         # keep = np.where(keep, np.logical_and(bt_11um[i,] > 228.0, bt_11um[i,] < 270.0), False)
-        keep = np.where(keep, bt_11um[i,] < 275.0, False)
-        # keep = np.where(keep, cld_top_temp[i,] < 275.0, False)
+        # keep = np.where(keep, bt_11um[i,] < 275.0, False)
+        keep = np.where(keep, cld_top_temp[i,] < 275.0, False)
 
         # cld_hgt = cld_top_hgt[i, ].flatten()
         # med_cld_hgt = np.median(cld_hgt[keep])