diff --git a/file_guide.txt b/file_guide.txt
index aed8250..4b6abbf 100644
--- a/file_guide.txt
+++ b/file_guide.txt
@@ -1100,6 +1100,22 @@ gadv_frazil_bathy.py: Plot a section of the coastline from 25-45E. On the left,
 			      saved with the filename "kn_fig3.png".
 
 
+***FIGURES FOR FESOM INTERCOMPARISON***
+
+mip_grid_res.py: Make a 2x1 plot showing horizontal grid resolution (square
+                 root of the area of each rectanuglar grid cell or triangular
+		 element) in MetROMS (left) and FESOM (right), zoomed into the
+		 Antarctic continental shelf.
+		 To run: First clone my "fesomtools" GitHub repository and
+		         replace '/short/y99/kaa561/fesomtools' (near the top
+			 of the file) with the path to the cloned repository
+			 on your system. Then open python or ipython and type
+			 "run mip_grid_res.py". The script will prompt you for
+			 the path to the ROMS grid file and FESOM mesh
+			 directory, and whether you want to save the figure (and
+			 if so, what filename) or display it on the screen.
+
+
 ***UTILITY FUNCTIONS***
 
 calc_z.py: Given ROMS grid variables, calculate the s-coordinates, stretching
diff --git a/mip_grid_res.py b/mip_grid_res.py
new file mode 100644
index 0000000..056f360
--- /dev/null
+++ b/mip_grid_res.py
@@ -0,0 +1,105 @@
+from netCDF4 import Dataset
+from numpy import *
+from matplotlib.collections import PatchCollection
+from matplotlib.pyplot import *
+from cartesian_grid_2d import *
+# Import FESOM scripts (have to modify path first)
+import sys
+sys.path.insert(0, '/short/y99/kaa561/fesomtools')
+from patches import *
+
+# Make a 2x1 plot showing horizontal grid resolution (square root of the area 
+# of each rectanuglar grid cell or triangular element) in MetROMS (left) and
+# FESOM (right), zoomed into the Antarctic continental shelf.
+# Input:
+# roms_grid_file = path to ROMS grid file
+# fesom_mesh_dir = path to FESOM mesh directory
+# save = optional boolean indicating to save the figure, rather than display it
+#        on screen
+# fig_name = if save=True, filename for figure
+def mip_grid_res (roms_grid_file, fesom_mesh_dir, save=False, fig_name=None):
+
+    # Spatial bounds on plot
+    lat_max = -63 + 90
+    # Bounds on colour scale (km)
+    limits = [0, 20]
+    # Degrees to radians conversion factor
+    deg2rad = pi/180
+    # FESOM plotting parameters
+    circumpolar = True
+
+    print 'Processing ROMS'
+    # Read ROMS grid    
+    id = Dataset(roms_grid_file, 'r')
+    roms_lon = id.variables['lon_rho'][:,:]
+    roms_lat = id.variables['lat_rho'][:,:]
+    roms_mask = id.variables['mask_rho'][:,:]
+    id.close()
+    # Get differentials
+    roms_dx, roms_dy = cartesian_grid_2d(roms_lon, roms_lat)
+    # Calculate resolution: square root of the area, converted to km
+    roms_res = sqrt(roms_dx*roms_dy)*1e-3
+    # Apply land mask
+    roms_res = ma.masked_where(roms_mask==0, roms_res)
+    # Polar coordinates for plotting
+    roms_x = -(roms_lat+90)*cos(roms_lon*deg2rad+pi/2)
+    roms_y = (roms_lat+90)*sin(roms_lon*deg2rad+pi/2)
+
+    print 'Processing FESOM'
+    # Build triangular patches for each element
+    elements, patches = make_patches(fesom_mesh_dir, circumpolar)
+    # Calculate the resolution at each element
+    fesom_res = []
+    for elm in elements:
+        fesom_res.append(sqrt(elm.area())*1e-3)
+
+    print 'Plotting'
+    fig = figure(figsize=(20,9))
+    # ROMS
+    ax1 = fig.add_subplot(1,2,1, aspect='equal')
+    pcolor(roms_x, roms_y, roms_res, vmin=limits[0], vmax=limits[1], cmap='jet')
+    xlim([-lat_max, lat_max])
+    ylim([-lat_max, lat_max])
+    axis('off')
+    title('MetROMS', fontsize=24)    
+    # FESOM
+    ax2 = fig.add_subplot(1,2,2, aspect='equal')
+    img = PatchCollection(patches, cmap='jet')
+    img.set_array(array(fesom_res))
+    img.set_clim(vmin=limits[0], vmax=limits[1])
+    img.set_edgecolor('face')
+    ax2.add_collection(img)
+    xlim([-lat_max, lat_max])
+    ylim([-lat_max, lat_max])
+    axis('off')
+    title('FESOM', fontsize=24)
+    cbaxes = fig.add_axes([0.92, 0.2, 0.01, 0.6])
+    cbar = colorbar(img, cax=cbaxes, extend='max', ticks=arange(limits[0], limits[1]+5, 5))
+    cbar.ax.tick_params(labelsize=20)
+    suptitle('Horizontal grid resolution (km)', fontsize=30)
+    subplots_adjust(wspace=0.05)
+
+    if save:
+        fig.savefig(fig_name)
+    else:
+        fig.show()
+
+
+# Command-line interface
+if __name__ == "__main__":
+
+    roms_grid_file = raw_input("Path to ROMS grid file: ")
+    fesom_mesh_dir = raw_input("Path to FESOM mesh directory: ")
+    action = raw_input("Save figure (s) or display in window (d)? ")
+    if action == 's':
+        save = True
+        fig_name = raw_input("File name for figure: ")
+    elif action == 'd':
+        save = False
+        fig_name = None
+    mip_grid_res (roms_grid_file, fesom_mesh_dir, save, fig_name)
+    
+    
+        
+    
+    
diff --git a/romscice_flux_correction.py b/romscice_flux_correction.py
index 7b260d9..ff46fea 100644
--- a/romscice_flux_correction.py
+++ b/romscice_flux_correction.py
@@ -24,7 +24,7 @@ def romscice_flux_correction (in_file, out_file):
     time_id = id.variables['ocean_time']
     time = num2date(time_id[:], units=time_id.units, calendar=time_id.calendar.lower())
     restoring = id.variables['ssflux_restoring'][:,:,:]
-    id.close()
+    id.close()    
 
     print 'Calculating climatology'
     num_lat = size(lat,0)
@@ -122,7 +122,7 @@ def romscice_flux_correction (in_file, out_file):
     id.variables['time'][:] = 365.25/12*(arange(12)+0.5)
     id.createVariable('ssflux_extra', 'f8', ('time', 'eta_rho', 'xi_rho'))
     id.variables['ssflux_extra'].long_name = 'additional surface salt flux'
-    id.variables['ssflux_extra'].units = 'kg/m^2/s'
+    id.variables['ssflux_extra'].units = 'psu m/s'
     id.variables['ssflux_extra'][:,:,:] = climatology
     id.close()