diff --git a/data/config.ini b/data/config.ini
index 2bc804a..33b5bf0 100644
--- a/data/config.ini
+++ b/data/config.ini
@@ -8,6 +8,7 @@ psize=Psize.dat
 hires_step=0.5
 
 [out]
+no_breakwater=True
 root=out
 sub=bathy_sub.npy
 out=bathy.npy
diff --git a/data/processing/projection.py b/data/processing/projection.py
index ae4284e..8b104ff 100644
--- a/data/processing/projection.py
+++ b/data/processing/projection.py
@@ -99,35 +99,38 @@ x_max_hires = x[z_crossing] + (
 log.debug(f"Replacing range: [{x_min_hires},{x_max_hires}]")
 
 flt_x = (x > x_min_hires) & (x < x_max_hires)
-z[flt_x] = interpolate.griddata(
-    (bathy_hires[:, 0],),
-    bathy_hires[:, 1],
-    (x[flt_x] - x[z_crossing] + bathy_hires[hires_crossing, 0]),
-)
-
-hstru_in = np.loadtxt(hstru_inp)[::-1]
 hstru = np.zeros(z.shape)
-hstru[flt_x] = interpolate.griddata(
-    (bathy_hires[:,0],),
-    hstru_in,
-    (x[flt_x] - x[z_crossing] + bathy_hires[hires_crossing, 0]),
-)
-
-poro_in = np.loadtxt(poro_inp)[::-1]
 poro = np.zeros(z.shape)
-poro[flt_x] = interpolate.griddata(
-    (bathy_hires[:,0],),
-    poro_in,
-    (x[flt_x] - x[z_crossing] + bathy_hires[hires_crossing, 0]),
-)
-
-psize_in = np.loadtxt(psize_inp)[::-1]
 psize = np.zeros(z.shape)
-psize[flt_x] = interpolate.griddata(
-    (bathy_hires[:,0],),
-    psize_in,
-    (x[flt_x] - x[z_crossing] + bathy_hires[hires_crossing, 0]),
-)
+if config.getboolean("out", "no_breakwater", fallback=False):
+    z[flt_x] = z[flt_x][-1]
+else:
+    z[flt_x] = interpolate.griddata(
+        (bathy_hires[:, 0],),
+        bathy_hires[:, 1],
+        (x[flt_x] - x[z_crossing] + bathy_hires[hires_crossing, 0]),
+    )
+
+    hstru_in = np.loadtxt(hstru_inp)[::-1]
+    hstru[flt_x] = interpolate.griddata(
+        (bathy_hires[:,0],),
+        hstru_in,
+        (x[flt_x] - x[z_crossing] + bathy_hires[hires_crossing, 0]),
+    )
+    
+    poro_in = np.loadtxt(poro_inp)[::-1]
+    poro[flt_x] = interpolate.griddata(
+        (bathy_hires[:,0],),
+        poro_in,
+        (x[flt_x] - x[z_crossing] + bathy_hires[hires_crossing, 0]),
+    )
+    
+    psize_in = np.loadtxt(psize_inp)[::-1]
+    psize[flt_x] = interpolate.griddata(
+        (bathy_hires[:,0],),
+        psize_in,
+        (x[flt_x] - x[z_crossing] + bathy_hires[hires_crossing, 0]),
+    )
 
 np.savetxt(out_root.joinpath("bathy.dat"), z[::-1], newline=" ")
 np.savetxt(out_root.joinpath("hstru.dat"), hstru[::-1], newline=" ")