diff --git a/swash/.gitignore b/swash/.gitignore
index 2677d7c..d4df5e8 100644
--- a/swash/.gitignore
+++ b/swash/.gitignore
@@ -1,2 +1,3 @@
+/inp*
 /out*
 /swash_buoytoartha
diff --git a/swash/processing/post.py b/swash/processing/post.py
index 8cead73..0de324e 100644
--- a/swash/processing/post.py
+++ b/swash/processing/post.py
@@ -27,25 +27,18 @@ root = pathlib.Path(config.get("swash", "out"))
 
 log.info(f"Reading bathymetry from '{cache}'")
 bathy = pd.read_hdf(cache.joinpath("bathy.h5"), "bathy")
-n = bathy.index.size
-
-log.info(f"Reading swash output from '{root}'")
-botl = read_nohead_scalar(root.joinpath("botl.dat"), n)
-dep = np.maximum(0, read_nohead_scalar(root.joinpath("dep.dat"), n))
-vel = read_nohead_vect(root.joinpath("vel.dat"), n)
-
-dt = config.getfloat("post", "dt")
-n_t = botl.shape[0]
-t = np.arange(0, n_t * dt, dt)
+data = np.load(pathlib.Path(config.get("post", "inp")).joinpath("sws.npz"))
+x, t = data["x"], data["t"]
 
 # Cospectral calculations
 x0 = config.getint("post", "x0")
-t0 = config.getint("post", "t0")
+t0 = config.getfloat("post", "t0")
+dt = config.getfloat("post", "dt")
 f = 1 / dt
 log.info(f"Computing reflection coefficient at x={x0}")
 
-eta = (dep - botl)[t > t0, x0]
-u = vel[t > t0, 0, x0]
+eta = (data["dep"] - data["botl"])[t > t0, x0]
+u = data["vel"][t > t0, 0, x0]
 
 phi_eta = np.abs(sgl.csd(eta, eta, f))
 phi_u = np.abs(sgl.csd(u, u, f))
@@ -60,13 +53,13 @@ R = np.sqrt(
 log.info("Plotting results")
 fig, (ax_dep, ax_vel) = plt.subplots(2)
 
-ax_dep.plot(t, (dep - botl)[:, x0], label="dep")
+ax_dep.plot(t, data["dep"][:, x0] - data["botl"][x0], label="dep")
 ax_dep.set(xlabel="t (s)", ylabel="z (m)")
 ax_dep.autoscale(axis="x", tight=True)
 ax_dep.grid()
 ax_dep.axvline(t0, c="k", alpha=0.2)
 
-ax_vel.plot(t, vel[:, 0, x0], label="vel")
+ax_vel.plot(t, data["vel"][:, 0, x0], label="vel")
 ax_vel.set(xlabel="t (s)", ylabel="U (m/s)")
 ax_vel.autoscale(axis="x", tight=True)
 ax_vel.grid()
@@ -82,8 +75,8 @@ ax_r.set(ylim=(0, 1), xlabel="f (Hz)", ylabel="R")
 ax_r.grid()
 
 fig_x, ax_x = plt.subplots()
-ax_x.plot(-botl[0, :], color="k")
-ax_x.plot((dep - botl)[t == t0, :].T)
+ax_x.plot(-data["botl"], color="k")
+ax_x.plot(data["dep"][t == t0, :] - data["botl"])
 ax_x.axvline(x0, c="k", alpha=0.2)
 ax_x.set(xlabel="x (m)", ylabel="z (m)")
 ax_x.autoscale(axis="x", tight=True)