diff --git a/melodies_monet/util/satellite_utilities.py b/melodies_monet/util/satellite_utilities.py
index 9fe00fd2..99f8bf7c 100644
--- a/melodies_monet/util/satellite_utilities.py
+++ b/melodies_monet/util/satellite_utilities.py
@@ -78,7 +78,7 @@ def mopitt_l3_pairing(model_data,obs_data,co_ppbv_varname):
         raise
     # initialize regridder for horizontal interpolation 
     # from model grid to MOPITT grid
-    grid_adjust = xe.Regridder(model_obstime[['latitude','longitude']],obs_data[['lat','lon']],'bilinear')
+    grid_adjust = xe.Regridder(model_obstime[['latitude','longitude']],obs_data[['lat','lon']],'bilinear',periodic=True)
     co_model_regrid = grid_adjust(model_obstime[co_ppbv_varname])
     pressure_model_regrid = grid_adjust(model_obstime['pres_pa_mid']/100.)
     
@@ -137,7 +137,7 @@ def omps_l3_daily_o3_pairing(model_data,obs_data,ozone_ppbv_varname):
     column = (du_fac*(model_data['dp_pa']/100.)*model_data[ozone_ppbv_varname]).sum('z')
     
     # initialize regrid and apply to column data
-    grid_adjust = xe.Regridder(model_data[['latitude','longitude']],obs_data[['latitude','longitude']],'bilinear')
+    grid_adjust = xe.Regridder(model_data[['latitude','longitude']],obs_data[['latitude','longitude']],'bilinear',periodic=True)
     mod_col_obsgrid = grid_adjust(column)
     # Aggregate time-step to daily means
     daily_mean = mod_col_obsgrid.resample(time='1D').mean()