def __init__(self, setup):
self.particles = Particles(backend=setup.backend,
n_sd=setup.n_sd,
dt=setup.dt)
self.particles.set_mesh_0d()
self.particles.set_environment(
MoistLagrangianParcelAdiabatic, {
"mass_of_dry_air": setup.mass_of_dry_air,
"p0": setup.p0,
"q0": setup.q0,
"T0": setup.T0,
"w": setup.w,
"z0": setup.z0
})
v_dry = phys.volume(radius=setup.r_dry)
r_wet = r_wet_init(setup.r_dry, self.particles.environment,
np.zeros_like(setup.n), setup.kappa)
v_wet = phys.volume(radius=r_wet)
self.particles.create_state_0d(n=setup.n,
extensive={
'dry volume': v_dry,
'volume': v_wet
},
intensive={})
self.particles.add_dynamic(Condensation, {"kappa": setup.kappa})
self.n_steps = setup.n_steps
def __init__(self, setup):
t_half = setup.z_half / setup.w_avg
dt = (2 * t_half) / setup.n_steps
self.particles = Particles(backend=setup.backend, n_sd=1, dt=dt)
self.particles.set_mesh_0d()
self.particles.set_environment(
MoistLagrangianParcelAdiabatic, {
"mass_of_dry_air": setup.mass_of_dry_air,
"p0": setup.p0,
"q0": setup.q0,
"T0": setup.T0,
"w": setup.w
})
r_dry = np.array([setup.r_dry])
x_dry = phys.volume(radius=r_dry)
n = np.array([setup.n_in_dv], dtype=np.int64)
r_wet = r_wet_init(r_dry, self.particles.environment, np.zeros_like(n),
setup.kappa)
v_wet = phys.volume(radius=r_wet)
self.particles.create_state_0d(n=n,
extensive={
'dry volume': x_dry,
'volume': v_wet
},
intensive={})
self.particles.add_dynamic(Condensation, {"kappa": setup.kappa})
self.n_steps = setup.n_steps
class Simulation:
def __init__(self, setup):
self.particles = Particles(backend=setup.backend,
n_sd=setup.n_sd,
dt=setup.dt)
self.particles.set_mesh_0d()
self.particles.set_environment(
MoistLagrangianParcelAdiabatic, {
"mass_of_dry_air": setup.mass_of_dry_air,
"p0": setup.p0,
"q0": setup.q0,
"T0": setup.T0,
"w": setup.w,
"z0": setup.z0
})
v_dry = phys.volume(radius=setup.r_dry)
r_wet = r_wet_init(setup.r_dry, self.particles.environment,
np.zeros_like(setup.n), setup.kappa)
v_wet = phys.volume(radius=r_wet)
self.particles.create_state_0d(n=setup.n,
extensive={
'dry volume': v_dry,
'volume': v_wet
},
intensive={})
self.particles.add_dynamic(Condensation, {"kappa": setup.kappa})
self.n_steps = setup.n_steps
# TODO: make it common with Arabas_and_Shima_2017
def save(self, output):
cell_id = 0
volume = self.particles.state.get_backend_storage('volume')
volume = self.particles.backend.to_ndarray(volume)
output["r"].append(phys.radius(volume=volume))
output["S"].append(self.particles.environment["RH"][cell_id] - 1)
output["qv"].append(self.particles.environment["qv"][cell_id])
output["T"].append(self.particles.environment["T"][cell_id])
output["z"].append(self.particles.environment["z"][cell_id])
output["t"].append(self.particles.environment["t"][cell_id])
def run(self):
output = {"r": [], "S": [], "z": [], "t": [], "qv": [], "T": []}
self.save(output)
for step in range(self.n_steps):
self.particles.run(1)
self.save(output)
return output
class Simulation:
def __init__(self, setup):
t_half = setup.z_half / setup.w_avg
dt = (2 * t_half) / setup.n_steps
self.particles = Particles(backend=setup.backend, n_sd=1, dt=dt)
self.particles.set_mesh_0d()
self.particles.set_environment(
MoistLagrangianParcelAdiabatic, {
"mass_of_dry_air": setup.mass_of_dry_air,
"p0": setup.p0,
"q0": setup.q0,
"T0": setup.T0,
"w": setup.w
})
r_dry = np.array([setup.r_dry])
x_dry = phys.volume(radius=r_dry)
n = np.array([setup.n_in_dv], dtype=np.int64)
r_wet = r_wet_init(r_dry, self.particles.environment, np.zeros_like(n),
setup.kappa)
v_wet = phys.volume(radius=r_wet)
self.particles.create_state_0d(n=n,
extensive={
'dry volume': x_dry,
'volume': v_wet
},
intensive={})
self.particles.add_dynamic(Condensation, {"kappa": setup.kappa})
self.n_steps = setup.n_steps
# TODO: common with Yang?
def save(self, output):
cell_id = 0
volume = self.particles.state.get_backend_storage('volume')
volume = self.particles.backend.to_ndarray(volume)
output["r"].append(phys.radius(volume=volume))
output["S"].append(self.particles.environment["RH"][cell_id] - 1)
output["z"].append(self.particles.environment["z"][cell_id])
output["t"].append(self.particles.environment["t"][cell_id])
def run(self):
output = {"r": [], "S": [], "z": [], "t": []}
self.save(output)
for step in range(self.n_steps):
self.particles.run(1)
self.save(output)
return output
def run(self, controller=DummyController()):
self.tmp = None # TODO!
self.particles = Particles(n_sd=self.setup.n_sd, dt=self.setup.dt, backend=self.setup.backend)
self.particles.set_mesh(grid=self.setup.grid, size=self.setup.size)
self.particles.set_environment(MoistEulerian2DKinematic, {
"stream_function": self.setup.stream_function,
"field_values": self.setup.field_values,
"rhod_of": self.setup.rhod
})
self.particles.create_state_2d(
extensive={},
intensive={},
spatial_discretisation=spatial_sampling.pseudorandom,
spectral_discretisation=spectral_sampling.constant_multiplicity,
spectrum_per_mass_of_dry_air=self.setup.spectrum_per_mass_of_dry_air,
r_range=(self.setup.r_min, self.setup.r_max),
kappa=self.setup.kappa
)
if self.setup.processes["condensation"]:
self.particles.add_dynamic(Condensation, {"kappa": self.setup.kappa})
if self.setup.processes["advection"]:
self.particles.add_dynamic(EulerianAdvection, {})
self.particles.add_dynamic(Advection, {"scheme": 'FTBS'})
if self.setup.processes["coalescence"]:
self.particles.add_dynamic(SDM, {"kernel": self.setup.kernel})
# TODO
if self.storage is not None:
self.storage.init(self.setup)
with controller:
for step in self.setup.steps: # TODO: rename output_steps
if controller.panic:
break
for _ in range(step - self.particles.n_steps):
self.particles.run(1)
self.store(self.particles, step)
controller.set_percent(step / self.setup.steps[-1])
return self.particles.stats
def test_set_mesh(self):
# Arrange
sut = Particles(0, 0, Default)
grid = (1, 1)
size = (1, 1)
# Act & Assert
sut.set_mesh(grid, size)
try:
sut.set_mesh(grid, size)
except AssertionError:
return
assert False
def __init__(self, n_sd, dt, backend, stats=None):
self.particles = Particles(n_sd, dt, backend, stats)
def __init__(self, backend, n_sd, dt=None):
Particles.__init__(self, n_sd, dt, backend)
# super(ParticlesBuilder, self).__init__(n_sd, dt, backend)
self.particles = self
self.mesh = None
self.environment = None
class Simulation:
def __init__(self, setup, storage):
self.setup = setup
self.storage = storage
def run(self, controller=DummyController()):
self.tmp = None # TODO!
self.particles = Particles(n_sd=self.setup.n_sd, dt=self.setup.dt, backend=self.setup.backend)
self.particles.set_mesh(grid=self.setup.grid, size=self.setup.size)
self.particles.set_environment(MoistEulerian2DKinematic, {
"stream_function": self.setup.stream_function,
"field_values": self.setup.field_values,
"rhod_of": self.setup.rhod
})
self.particles.create_state_2d(
extensive={},
intensive={},
spatial_discretisation=spatial_sampling.pseudorandom,
spectral_discretisation=spectral_sampling.constant_multiplicity,
spectrum_per_mass_of_dry_air=self.setup.spectrum_per_mass_of_dry_air,
r_range=(self.setup.r_min, self.setup.r_max),
kappa=self.setup.kappa
)
if self.setup.processes["condensation"]:
self.particles.add_dynamic(Condensation, {"kappa": self.setup.kappa})
if self.setup.processes["advection"]:
self.particles.add_dynamic(EulerianAdvection, {})
self.particles.add_dynamic(Advection, {"scheme": 'FTBS'})
if self.setup.processes["coalescence"]:
self.particles.add_dynamic(SDM, {"kernel": self.setup.kernel})
# TODO
if self.storage is not None:
self.storage.init(self.setup)
with controller:
for step in self.setup.steps: # TODO: rename output_steps
if controller.panic:
break
for _ in range(step - self.particles.n_steps):
self.particles.run(1)
self.store(self.particles, step)
controller.set_percent(step / self.setup.steps[-1])
return self.particles.stats
def store(self, particles, step):
backend = particles.backend
eulerian_fields = particles.environment.eulerian_fields
# allocations
if self.tmp is None: # TODO: move to constructor
n_moments = 0
for attr in self.setup.specs:
for _ in self.setup.specs[attr]:
n_moments += 1
self.moment_0 = backend.array(particles.mesh.n_cell, dtype=int)
self.moments = backend.array((n_moments, particles.mesh.n_cell), dtype=float)
self.tmp = np.empty(particles.mesh.n_cell)
# store moments
particles.state.moments(self.moment_0, self.moments, self.setup.specs) # TODO: attr_range
backend.download(self.moment_0, self.tmp)
self.tmp /= particles.mesh.dv
self.storage.save(self.tmp.reshape(self.setup.grid), step, "m0")
i = 0
for attr in self.setup.specs:
for k in self.setup.specs[attr]:
backend.download(self.moments[i], self.tmp) # TODO: [i] will not work
self.tmp /= particles.mesh.dv
self.storage.save(self.tmp.reshape(self.setup.grid), step, f"{attr}_m{k}")
i += 1
# store advected fields
for key in eulerian_fields.mpdatas.keys():
self.storage.save(eulerian_fields.mpdatas[key].curr.get(), step, key)
# store auxiliary fields
backend.download(particles.environment['RH'], self.tmp)
self.storage.save(self.tmp.reshape(self.setup.grid), step, "RH")
def run(setup):
particles = Particles(n_sd=setup.n_sd, dt=setup.dt, backend=setup.backend)
particles.set_mesh_0d(setup.dv)
particles.set_environment(Box, {})
v, n = constant_multiplicity(setup.n_sd, setup.spectrum,
(setup.x_min, setup.x_max))
particles.create_state_0d(n=n, extensive={'volume': v}, intensive={})
particles.add_dynamic(SDM, {"kernel": setup.kernel})
states = {}
for step in setup.steps:
particles.run(step - particles.n_steps)
setup.check(particles.state, particles.n_steps)
states[particles.n_steps] = copy.deepcopy(particles.state)
return states, particles.stats
def test_coalescence():
# TODO: np.random.RandomState in backend?
# Arrange
v_min = 4.186e-15
v_max = 4.186e-12
n_sd = 2**13
steps = [0, 30, 60]
X0 = 4 / 3 * 3.14 * 30.531e-6**3
n_part = 2**23 # [m-3]
dv = 1e6 # [m3]
dt = 1 # [s]
norm_factor = n_part * dv
kernel = Golovin(b=1.5e3) # [s-1]
spectrum = Exponential(norm_factor=norm_factor, scale=X0)
particles = Particles(n_sd=n_sd, dt=dt, backend=backend)
particles.set_mesh_0d(dv=dv)
particles.set_environment(Box, {})
v, n = constant_multiplicity(n_sd, spectrum, (v_min, v_max))
particles.create_state_0d(n=n, extensive={'volume': v}, intensive={})
particles.add_dynamic(SDM, {"kernel": kernel})
states = {}
# Act
for step in steps:
particles.run(step - particles.n_steps)
states[particles.n_steps] = copy.deepcopy(particles.state)
# Assert
x_max = 0
for state in states.values():
assert x_max < state.max('volume')
x_max = state.max('volume')