diff --git a/examples/shallow_water/trying_reversible.py b/examples/shallow_water/trying_reversible.py
new file mode 100644
index 000000000..19e542a4e
--- /dev/null
+++ b/examples/shallow_water/trying_reversible.py
@@ -0,0 +1,142 @@
+from gusto import *
+from firedrake import (IcosahedralSphereMesh, acos, sin, cos, Constant, norm)
+
+process = "condensation"
+
+# ------------------------------------------------------------------------ #
+# Set up model objects
+# ------------------------------------------------------------------------ #
+
+# Parameters
+dt = 100
+R = 6371220.
+H = 100
+theta_c = pi
+lamda_c = pi/2
+rc = R/4
+L = 10
+beta2 = 1
+
+# Domain
+mesh = IcosahedralSphereMesh(radius=R, refinement_level=3, degree=2)
+degree = 1
+domain = Domain(mesh, dt, 'BDM', degree)
+x = SpatialCoordinate(mesh)
+theta, lamda = latlon_coords(mesh)
+
+# saturation field (constant everywhere)
+sat = 100
+
+# Equation
+parameters = ShallowWaterParameters(H=H)
+Omega = parameters.Omega
+fexpr = 2*Omega*x[2]/R
+
+tracers = [WaterVapour(space='DG'), CloudWater(space='DG')]
+
+eqns = ShallowWaterEquations(domain, parameters, fexpr=fexpr,
+                             u_transport_option='vector_advection_form',
+                             thermal=True, active_tracers=tracers)
+
+# I/O
+output = OutputParameters(dirname="cond_evap_testing",
+                          dumpfreq=1)
+io = IO(domain, output, diagnostic_fields=[Sum('water_vapour', 'cloud_water')])
+
+# Physics schemes
+physics_schemes = [(SW_SaturationAdjustment(eqns, sat, L=L,
+                                            parameters=parameters,
+                                            thermal_feedback=True,
+                                            beta2=beta2),
+                    ForwardEuler(domain))]
+
+# Time stepper
+scheme = ForwardEuler(domain)
+
+stepper = SplitPhysicsTimestepper(eqns, scheme, io,
+                                  physics_schemes=physics_schemes)
+
+# ------------------------------------------------------------------------ #
+# Initial conditions
+# ------------------------------------------------------------------------ #
+
+u0 = stepper.fields("u")
+D0 = stepper.fields("D")
+b0 = stepper.fields("b")
+v0 = stepper.fields("water_vapour")
+c0 = stepper.fields("cloud_water")
+
+# perturbation
+r = R * (
+    acos(sin(theta_c)*sin(theta) + cos(theta_c)*cos(theta)*cos(lamda-lamda_c)))
+pert = conditional(r < rc, 1.0, 0.0)
+
+if process == "evaporation":
+    # atmosphere is subsaturated and cloud is present
+    v0.interpolate(0.96*Constant(sat))
+    c0.interpolate(0.005*sat*pert)
+    # lose cloud and add this to vapour
+    v_true = Function(v0.function_space()).interpolate(sat*(0.96+0.005*pert))
+    c_true = Function(c0.function_space()).interpolate(Constant(0.0))
+    # lose buoyancy (sat_adj_expr is -0.005 here)
+    factor = Constant(parameters.g*L*beta2)
+    sat_adj_expr = -0.005
+    b_true = Function(b0.function_space()).interpolate(factor*sat_adj_expr)
+
+elif process == "condensation":
+    # vapour is above saturation
+    v0.interpolate(sat*(1.0 + 0.04*pert))
+    # lose vapour and add this to cloud
+    v_true = Function(v0.function_space()).interpolate(Constant(sat))
+    c_true = Function(c0.function_space()).interpolate(v0 - sat)
+    # gain buoyancy (sat_adj_expr is 0.04 here)
+    factor = Constant(parameters.g*L*beta2)
+    sat_adj_expr = 0.004
+    b_true = Function(b0.function_space()).interpolate(factor*sat_adj_expr)
+
+c_init = Function(c0.function_space()).interpolate(c0)
+print("initial vapour:")
+print(v0.dat.data.max())
+print("initial cloud:")
+print(c0.dat.data.max())
+
+stepper.run(t=0, tmax=dt)
+
+vapour = stepper.fields("water_vapour")
+cloud = stepper.fields("cloud_water")
+buoyancy = stepper.fields("b")
+
+assert norm(vapour - v_true) / norm(v_true) < 0.001, \
+    f'Final vapour field is incorrect for {process}'
+
+# Check that cloud has been created / removed
+denom = norm(c_true) if process == "condensation" else norm(c_init)
+assert norm(cloud - c_true) / denom < 0.001, \
+    f'Final cloud field is incorrect for {process}'
+
+###################
+# printing to try
+###################
+
+print(process)
+
+# if norm(vapour - v_true) / norm(v_true) < 0.001:
+    # print("passed vapour!")
+    # print(norm(vapour - v_true) / norm(v_true))
+
+denom = norm (c_true) if process == "condensation" else norm(c_init)
+# if norm(cloud - c_true) / denom < 0.001:
+    # print("passed cloud!")
+    # print(norm(cloud - c_true) / denom)
+
+print("true buoyancy:")
+print(b_true.dat.data.max())
+print("b field:")
+print(buoyancy.dat.data.max())
+# print("norm:")
+# print(norm(buoyancy - b_true))
+
+print("vapour after:")
+print(vapour.dat.data.max())
+print("cloud after:")
+print(cloud.dat.data.max())
diff --git a/integration-tests/physics/test_sw_condensation.py b/integration-tests/physics/test_sw_condensation.py
new file mode 100644
index 000000000..548a9f6aa
--- /dev/null
+++ b/integration-tests/physics/test_sw_condensation.py
@@ -0,0 +1,14 @@
+"""
+# This tests the SW_AdjustableSaturation physics class. In the first scenario it
+# creates a bubble of water vapour that is advected by a prescribed velocity and
+# should be converted to cloud where it exceeds a saturation threshold. In the
+# second test it creates a cloud in a subsaturated atmosphere that should
+# evaporate. The first test passes if the cloud is non-zero, the vapour has
+# decreased the buoyancy field is increased and the total moisture is conserved.
+# The second test passes if cloud is zero, vapour has increased, buoyancy has
+# decreased and total moisture is conserved.
+"""
+
+from os import path
+from gusto import *
+from firedrake import