diff --git a/swash/processing/zero_cross.py b/swash/processing/zero_cross.py
index dcfb46a..5d5c0e5 100644
--- a/swash/processing/zero_cross.py
+++ b/swash/processing/zero_cross.py
@@ -19,6 +19,7 @@ config = configparser.ConfigParser()
 config.read(args.config)
 
 inp = pathlib.Path(config.get("post", "inp"))
+inp_comp = pathlib.Path(config.get("post", "compare"))
 root = pathlib.Path(config.get("swash", "out"))
 
 log.info(f"Reading data from '{inp}'")
@@ -26,13 +27,16 @@ x = np.load(inp.joinpath("x.npy"))
 t = np.load(inp.joinpath("t.npy"))
 
 watl = np.load(inp.joinpath("watl.npy"))
+watl_comp = np.load(inp_comp.joinpath("watl.npy"))
 
 # Cospectral calculations
 x0 = config.getint("post", "x0")
 arg_x0 = np.abs(x - x0).argmin()
 
 w0 = watl[:, arg_x0]
+w0_comp = watl_comp[:, arg_x0]
 cr0 = np.where(np.diff(np.sign(w0)))[0]
+cr0_comp = np.where(np.diff(np.sign(w0_comp)))[0]
 
 wave = np.fromiter(
     (
@@ -44,6 +48,16 @@ wave = np.fromiter(
     ),
     dtype=np.single,
 )
+wave_comp = np.fromiter(
+    (
+        np.abs(
+            np.max(np.abs(w0_comp[cr0_comp[i - 1] : cr0_comp[i]]))
+            + np.max(np.abs(w0_comp[cr0_comp[i] : cr0_comp[i + 1]]))
+        )
+        for i in range(1, len(cr0) - 1)
+    ),
+    dtype=np.single,
+)
 
 i0 = np.argmax(wave)
 
@@ -53,8 +67,22 @@ out.mkdir(parents=True, exist_ok=True)
 
 fig, ax = plt.subplots()
 ax.plot(t[cr0[1:-1]] * 1e-3, wave)
+ax.set(xlabel="t (s)", ylabel="z (m)")
+ax.autoscale(True, "x", True)
+ax.grid()
 fig.savefig(out.joinpath("wsize.pdf"))
 
-fig2, ax2 = plt.subplots()
-ax2.plot(t[cr0[i0 - 5] : cr0[i0 + 7]], w0[cr0[i0 - 5] : cr0[i0 + 7]])
+fig2, ax2 = plt.subplots(figsize=(10/2.54, 2/3*10/2.54), constrained_layout=True)
+ax2.plot(t[cr0[i0 - 5] : cr0[i0 + 7]] * 1e-3, w0[cr0[i0 - 5] : cr0[i0 + 7]], color="k", label="Case 1")
+ax2.plot(t[cr0[i0 - 5] : cr0[i0 + 7]] * 1e-3, w0_comp[cr0[i0 - 5] : cr0[i0 + 7]], color="k", ls="-.", label="Case 2")
+ax2.set(xlabel="t (s)", ylabel="z (m)")
+ax2.autoscale(True, "x", True)
+ax2.grid()
+ax2.legend()
 fig2.savefig(out.joinpath("maxw.pdf"))
+fig2.savefig(out.joinpath("maxw.jpg"), dpi=200)
+
+log.info(f"RMS difference: {np.sqrt(np.mean((w0_comp-w0)**2))}m ; {np.sqrt(np.mean((w0_comp-w0)**2))/(w0.max()-w0.min()):%}")
+log.info(f"Bias: {np.mean(w0_comp-w0)}m")
+log.info(f"Maximum wave size: {wave.max()}m ; {wave_comp.max()}m")
+log.info(f"Maximum wave size difference: {abs(wave_comp.max()-wave.max())/wave.max():%}")