def run(setup, observers=()):
builder = Builder(n_sd=setup.n_sd, backend=setup.backend)
builder.set_environment(Box(dv=setup.dv, dt=setup.dt))
attributes = {}
attributes['volume'], attributes['n'] = constant_multiplicity(
setup.n_sd, setup.spectrum, (setup.init_x_min, setup.init_x_max))
coalescence = Coalescence(setup.kernel)
coalescence.adaptive = setup.adaptive
builder.add_dynamic(coalescence)
products = [ParticlesVolumeSpectrum()]
particles = builder.build(attributes, products)
if hasattr(setup,
'u_term') and 'terminal velocity' in particles.state.attributes:
particles.state.attributes[
'terminal velocity'].approximation = setup.u_term(particles)
for observer in observers:
particles.observers.append(observer)
vals = {}
for step in setup.steps:
particles.run(step - particles.n_steps)
vals[step] = particles.products['dv/dlnr'].get(setup.radius_bins_edges)
vals[step][:] *= setup.rho
return vals, particles.stats
def run(settings, backend=CPU, observers=()):
builder = Builder(n_sd=settings.n_sd, backend=backend)
builder.set_environment(Box(dv=settings.dv, dt=settings.dt))
attributes = {}
attributes['volume'], attributes['n'] = ConstantMultiplicity(
settings.spectrum).sample(settings.n_sd)
coalescence = Coalescence(settings.kernel)
coalescence.adaptive = settings.adaptive
builder.add_dynamic(coalescence)
products = [ParticlesVolumeSpectrum(), WallTime()]
core = builder.build(attributes, products)
if hasattr(settings,
'u_term') and 'terminal velocity' in core.particles.attributes:
core.particles.attributes[
'terminal velocity'].approximation = settings.u_term(core)
for observer in observers:
core.observers.append(observer)
vals = {}
core.products['wall_time'].reset()
for step in settings.steps:
core.run(step - core.n_steps)
vals[step] = core.products['dv/dlnr'].get(settings.radius_bins_edges)
vals[step][:] *= settings.rho
exec_time = core.products['wall_time'].get()
return vals, exec_time
def get_dummy_core_and_sdm(n_length):
core = DummyCore(backend, n_sd=n_length)
dv = 1
core.environment = Box(dv=dv, dt=0)
sdm = Coalescence(StubKernel(core.backend))
sdm.register(core)
return core, sdm
def test_coalescence(backend, kernel, croupier, adaptive):
if backend == ThrustRTC and croupier == 'local': # TODO #358
return
if backend == ThrustRTC and adaptive and croupier == 'global': # TODO #329
return
# Arrange
s = Settings()
s.formulae.seed = 0
steps = [0, 800]
builder = Builder(n_sd=s.n_sd, backend=backend, formulae=s.formulae)
builder.set_environment(Box(dt=s.dt, dv=s.dv))
attributes = {}
attributes['volume'], attributes['n'] = ConstantMultiplicity(s.spectrum).sample(s.n_sd)
builder.add_dynamic(Coalescence(kernel, croupier=croupier, adaptive=adaptive))
core = builder.build(attributes)
volumes = {}
# Act
for step in steps:
core.run(step - core.n_steps)
volumes[core.n_steps] = core.particles['volume'].to_ndarray()
# Assert
x_max = 0
for volume in volumes.values():
assert x_max < np.amax(volume)
x_max = np.amax(volume)
def run_box_NObreakup(settings, step):
backend = CPU
builder = Builder(n_sd=settings.n_sd, backend=backend(settings.formulae))
env = Box(dv=settings.dv, dt=settings.dt)
builder.set_environment(env)
env["rhod"] = 1.0
attributes = {}
attributes["volume"], attributes["n"] = ConstantMultiplicity(
settings.spectrum).sample(settings.n_sd)
coal = Coalescence(
collision_kernel=settings.kernel,
coalescence_efficiency=settings.coal_eff,
adaptive=settings.adaptive,
)
builder.add_dynamic(coal)
products = (
ParticleVolumeVersusRadiusLogarithmSpectrum(
radius_bins_edges=settings.radius_bins_edges, name="dv/dlnr"),
CollisionRatePerGridbox(name="cr"),
CollisionRateDeficitPerGridbox(name="crd"),
)
core = builder.build(attributes, products)
# run
core.run(step - core.n_steps)
x = (settings.radius_bins_edges[:-1] / si.micrometres, )
y = core.products["dv/dlnr"].get()
return (x, y)
def test_coalescence_2_sd(backend):
# Arrange
s = Settings()
s.kernel = Golovin(b=1.5e12)
s.formulae.seed = 0
steps = [0, 200]
s.n_sd = 2
builder = Builder(n_sd=s.n_sd, backend=backend, formulae=s.formulae)
builder.set_environment(Box(dt=s.dt, dv=s.dv))
attributes = {}
attributes['volume'], attributes['n'] = ConstantMultiplicity(s.spectrum).sample(s.n_sd)
builder.add_dynamic(Coalescence(s.kernel))
core = builder.build(attributes)
volumes = {}
# Act
for step in steps:
core.run(step - core.n_steps)
volumes[core.n_steps] = core.particles['volume'].to_ndarray()
# Assert
x_max = 0
for volume in volumes.values():
assert x_max < np.amax(volume)
x_max = np.amax(volume)
print(core.particles['n'].to_ndarray())
assert core.particles.SD_num == 1
def test_coalescence_2_sd(backend_class):
# Arrange
s = Settings()
s.kernel = Golovin(b=1.5e12)
s.formulae.seed = 0
steps = [0, 200]
s.n_sd = 2
builder = Builder(n_sd=s.n_sd, backend=backend_class(formulae=s.formulae))
builder.set_environment(Box(dt=s.dt, dv=s.dv))
attributes = {}
attributes['volume'], attributes['n'] = ConstantMultiplicity(
s.spectrum).sample(s.n_sd)
builder.add_dynamic(Coalescence(s.kernel, adaptive=False))
particulator = builder.build(attributes)
volumes = {}
# Act
for step in steps:
particulator.run(step - particulator.n_steps)
volumes[particulator.
n_steps] = particulator.attributes['volume'].to_ndarray()
# Assert
x_max = 0
for volume in volumes.values():
assert x_max < np.amax(volume)
x_max = np.amax(volume)
assert particulator.attributes.super_droplet_count == 1
def run(settings, backend=CPU, observers=()):
builder = Builder(n_sd=settings.n_sd,
backend=backend(formulae=settings.formulae))
builder.set_environment(Box(dv=settings.dv, dt=settings.dt))
attributes = {}
sampling = ConstantMultiplicity(settings.spectrum)
attributes["volume"], attributes["n"] = sampling.sample(settings.n_sd)
coalescence = Coalescence(collision_kernel=settings.kernel,
adaptive=settings.adaptive)
builder.add_dynamic(coalescence)
products = (
ParticleVolumeVersusRadiusLogarithmSpectrum(settings.radius_bins_edges,
name="dv/dlnr"),
WallTime(),
)
particulator = builder.build(attributes, products)
if hasattr(settings,
"u_term") and "terminal velocity" in particulator.attributes:
particulator.attributes[
"terminal velocity"].approximation = settings.u_term(particulator)
for observer in observers:
particulator.observers.append(observer)
vals = {}
particulator.products["wall time"].reset()
for step in settings.output_steps:
particulator.run(step - particulator.n_steps)
vals[step] = particulator.products["dv/dlnr"].get()[0]
vals[step][:] *= settings.rho
exec_time = particulator.products["wall time"].get()
return vals, exec_time
def run(setup):
builder = Builder(n_sd=setup.n_sd, backend=setup.backend)
builder.set_environment(Box(dv=setup.dv, dt=setup.dt))
v, n = constant_multiplicity(setup.n_sd, setup.spectrum,
(setup.init_x_min, setup.init_x_max))
attributes = {'n': n, 'volume': v}
builder.add_dynamic(Coalescence(setup.kernel))
particles = builder.build(attributes)
states = {}
for step in setup.steps:
particles.run(step - particles.n_steps)
return states, particles.stats
def run(settings):
builder = Builder(n_sd=settings.n_sd, backend=settings.backend)
builder.set_environment(Box(dv=settings.dv, dt=settings.dt))
attributes = {}
attributes['volume'], attributes['n'] = ConstantMultiplicity(
settings.spectrum).sample(settings.n_sd)
builder.add_dynamic(Coalescence(settings.kernel))
particles = builder.build(attributes, products=[WallTime()])
states = {}
for step in settings.steps:
particles.run(step - particles.n_steps)
last_wall_time = particles.products['wall_time'].get()
return states, last_wall_time
def run(settings, backend):
builder = Builder(n_sd=settings.n_sd, backend=backend)
builder.set_environment(Box(dv=settings.dv, dt=settings.dt))
attributes = {}
sampling = ConstantMultiplicity(settings.spectrum)
attributes["volume"], attributes["n"] = sampling.sample(settings.n_sd)
builder.add_dynamic(Coalescence(collision_kernel=settings.kernel))
particles = builder.build(attributes, products=(WallTime(), ))
states = {}
last_wall_time = None
for step in settings.output_steps:
particles.run(step - particles.n_steps)
last_wall_time = particles.products["wall time"].get()
return states, last_wall_time
def test_coalescence(croupier):
# Arrange
v_min = 4.186e-15
v_max = 4.186e-12
n_sd = 2**13
steps = [0, 30, 60]
X0 = 4 / 3 * np.pi * 30.531e-6**3
n_part = 2**23 / si.metre**3
dv = 1e6 * si.metres**3
dt = 1 * si.seconds
norm_factor = n_part * dv
rho = 1000 * si.kilogram / si.metre**3
kernel = Golovin(b=1.5e3) # [s-1]
spectrum = Exponential(norm_factor=norm_factor, scale=X0)
particles_builder = Builder(n_sd=n_sd, backend=backend)
particles_builder.set_environment(Box(dt=dt, dv=dv))
attributes = {}
attributes['volume'], attributes['n'] = constant_multiplicity(
n_sd, spectrum, (v_min, v_max))
particles_builder.add_dynamic(Coalescence(kernel, seed=256))
particles = particles_builder.build(attributes)
particles.croupier = croupier
class Seed:
seed = 0
def __call__(self):
Seed.seed += 1
return Seed.seed
particles.dynamics[str(Coalescence)].seed = Seed()
states = {}
# Act
for step in steps:
particles.run(step - particles.n_steps)
check(n_part, dv, n_sd, rho, particles.state, step)
states[particles.n_steps] = copy.deepcopy(particles.state)
# Assert
x_max = 0
for state in states.values():
assert x_max < np.amax(state['volume'].to_ndarray())
x_max = np.amax(state['volume'].to_ndarray())
def test_coalescence(backend, croupier, adaptive):
if backend == ThrustRTC and croupier == 'local': # TODO #358
return
if backend == ThrustRTC and adaptive and croupier == 'global': # TODO #329
return
# Arrange
formulae = Formulae(seed=256)
n_sd = 2**14
steps = [0, 100, 200]
X0 = formulae.trivia.volume(radius=30.531e-6)
n_part = 2**23 / si.metre**3
dv = 1e6 * si.metres**3
dt = 1 * si.seconds
norm_factor = n_part * dv
rho = 1000 * si.kilogram / si.metre**3
kernel = Golovin(b=1.5e3) # [s-1]
spectrum = Exponential(norm_factor=norm_factor, scale=X0)
builder = Builder(n_sd=n_sd, backend=backend(formulae=formulae))
builder.set_environment(Box(dt=dt, dv=dv))
attributes = {}
attributes['volume'], attributes['n'] = ConstantMultiplicity(
spectrum).sample(n_sd)
builder.add_dynamic(
Coalescence(kernel, croupier=croupier, adaptive=adaptive))
particulator = builder.build(attributes)
volumes = {}
# Act
for step in steps:
particulator.run(step - particulator.n_steps)
check(n_part, dv, n_sd, rho, particulator.attributes, step)
volumes[particulator.
n_steps] = particulator.attributes['volume'].to_ndarray()
# Assert
x_max = 0
for volume in volumes.values():
assert x_max < np.amax(volume)
x_max = np.amax(volume)
def reinit(self, products=None):
builder = Builder(n_sd=self.settings.n_sd, backend=self.backend)
environment = Kinematic2D(dt=self.settings.dt,
grid=self.settings.grid,
size=self.settings.size,
rhod_of=self.settings.rhod,
field_values=self.settings.field_values)
builder.set_environment(environment)
products = products or [
ParticlesWetSizeSpectrum(v_bins=self.settings.v_bins,
normalise_by_dv=True),
ParticlesDrySizeSpectrum(
v_bins=self.settings.v_bins,
normalise_by_dv=True), # Note: better v_bins
TotalParticleConcentration(),
TotalParticleSpecificConcentration(),
AerosolConcentration(
radius_threshold=self.settings.aerosol_radius_threshold),
CloudConcentration(
radius_range=(self.settings.aerosol_radius_threshold,
self.settings.drizzle_radius_threshold)),
DrizzleConcentration(
radius_threshold=self.settings.drizzle_radius_threshold),
AerosolSpecificConcentration(
radius_threshold=self.settings.aerosol_radius_threshold),
ParticleMeanRadius(),
SuperDropletCount(),
RelativeHumidity(),
Pressure(),
Temperature(),
WaterVapourMixingRatio(),
DryAirDensity(),
DryAirPotentialTemperature(),
CPUTime(),
WallTime()
]
fields = Fields(environment, self.settings.stream_function)
if self.settings.processes[
'fluid advection']: # TODO: ambient thermodynamics checkbox
builder.add_dynamic(AmbientThermodynamics())
if self.settings.processes["condensation"]:
condensation = Condensation(
kappa=self.settings.kappa,
rtol_x=self.settings.condensation_rtol_x,
rtol_thd=self.settings.condensation_rtol_thd,
coord=self.settings.condensation_coord,
adaptive=self.settings.adaptive)
builder.add_dynamic(condensation)
products.append(CondensationTimestep()
) # TODO: and what if a user doesn't want it?
if self.settings.processes['fluid advection']:
solver = MPDATA(fields=fields,
n_iters=self.settings.mpdata_iters,
infinite_gauge=self.settings.mpdata_iga,
flux_corrected_transport=self.settings.mpdata_fct,
third_order_terms=self.settings.mpdata_tot)
builder.add_dynamic(EulerianAdvection(solver))
if self.settings.processes["particle advection"]:
displacement = Displacement(
courant_field=fields.courant_field,
scheme='FTBS',
enable_sedimentation=self.settings.processes["sedimentation"])
builder.add_dynamic(displacement)
products.append(SurfacePrecipitation()) # TODO: ditto
if self.settings.processes["coalescence"]:
builder.add_dynamic(Coalescence(kernel=self.settings.kernel))
attributes = environment.init_attributes(
spatial_discretisation=spatial_sampling.Pseudorandom(),
spectral_discretisation=spectral_sampling.ConstantMultiplicity(
spectrum=self.settings.spectrum_per_mass_of_dry_air),
kappa=self.settings.kappa)
self.core = builder.build(attributes, products)
SpinUp(self.core, self.settings.n_spin_up)
# TODO
if self.storage is not None:
self.storage.init(self.settings)
def reinit(self, products=None):
formulae = self.settings.formulae
backend = self.backend_class(formulae=formulae)
builder = Builder(n_sd=self.settings.n_sd, backend=backend)
environment = Kinematic2D(
dt=self.settings.dt,
grid=self.settings.grid,
size=self.settings.size,
rhod_of=self.settings.rhod_of_zZ,
mixed_phase=self.settings.processes["freezing"],
)
builder.set_environment(environment)
if products is not None:
products = list(products)
else:
products = make_default_product_collection(self.settings)
if self.settings.processes["fluid advection"]:
builder.add_dynamic(AmbientThermodynamics())
if self.settings.processes["condensation"]:
condensation = Condensation(
rtol_x=self.settings.condensation_rtol_x,
rtol_thd=self.settings.condensation_rtol_thd,
adaptive=self.settings.condensation_adaptive,
substeps=self.settings.condensation_substeps,
dt_cond_range=self.settings.condensation_dt_cond_range,
schedule=self.settings.condensation_schedule,
)
builder.add_dynamic(condensation)
displacement = None
if self.settings.processes["particle advection"]:
displacement = Displacement(
enable_sedimentation=self.settings.processes["sedimentation"],
adaptive=self.settings.displacement_adaptive,
rtol=self.settings.displacement_rtol,
)
if self.settings.processes["fluid advection"]:
initial_profiles = {
"th": self.settings.initial_dry_potential_temperature_profile,
"qv": self.settings.initial_vapour_mixing_ratio_profile,
}
advectees = dict((
key,
np.repeat(
profile.reshape(1, -1), environment.mesh.grid[0], axis=0),
) for key, profile in initial_profiles.items())
solver = MPDATA_2D(
advectees=advectees,
stream_function=self.settings.stream_function,
rhod_of_zZ=self.settings.rhod_of_zZ,
dt=self.settings.dt,
grid=self.settings.grid,
size=self.settings.size,
displacement=displacement,
n_iters=self.settings.mpdata_iters,
infinite_gauge=self.settings.mpdata_iga,
nonoscillatory=self.settings.mpdata_fct,
third_order_terms=self.settings.mpdata_tot,
)
builder.add_dynamic(EulerianAdvection(solver))
if self.settings.processes["particle advection"]:
builder.add_dynamic(displacement)
if self.settings.processes["coalescence"]:
builder.add_dynamic(
Coalescence(
collision_kernel=self.settings.kernel,
adaptive=self.settings.coalescence_adaptive,
dt_coal_range=self.settings.coalescence_dt_coal_range,
substeps=self.settings.coalescence_substeps,
optimized_random=self.settings.
coalescence_optimized_random,
))
if self.settings.processes["freezing"]:
builder.add_dynamic(
Freezing(singular=self.settings.freezing_singular))
attributes = environment.init_attributes(
spatial_discretisation=spatial_sampling.Pseudorandom(),
dry_radius_spectrum=self.settings.spectrum_per_mass_of_dry_air,
kappa=self.settings.kappa,
)
if self.settings.processes["freezing"]:
if self.settings.freezing_inp_spec is None:
immersed_surface_area = formulae.trivia.sphere_surface(
diameter=2 *
formulae.trivia.radius(volume=attributes["dry volume"]))
else:
immersed_surface_area = self.settings.freezing_inp_spec.percentiles(
np.random.random(self.settings.n_sd), # TODO #599: seed
)
if self.settings.freezing_singular:
attributes[
"freezing temperature"] = formulae.freezing_temperature_spectrum.invcdf(
np.random.random(
self.settings.n_sd), # TODO #599: seed
immersed_surface_area,
)
else:
attributes["immersed surface area"] = immersed_surface_area
self.particulator = builder.build(attributes, tuple(products))
if self.SpinUp is not None:
self.SpinUp(self.particulator, self.settings.n_spin_up)
if self.storage is not None:
self.storage.init(self.settings)
def get_dummy_particles_and_sdm(n_length):
particles = DummyParticles(backend, n_sd=n_length)
dv = 1
particles.set_environment(Box, {'dv': dv, 'dt': 0})
sdm = Coalescence(particles, StubKernel(particles.backend))
return particles, sdm
def __init__(self, settings, backend=CPU):
self.nt = settings.nt
builder = Builder(backend=backend,
n_sd=settings.n_sd,
formulae=settings.formulae)
mesh = Mesh(grid=(settings.nz, ), size=(settings.z_max, ))
env = Kinematic1D(dt=settings.dt,
mesh=mesh,
thd_of_z=settings.thd,
rhod_of_z=settings.rhod)
mpdata = MPDATA_1D(
nz=settings.nz,
dt=settings.dt,
mpdata_settings=settings.mpdata_settings,
advector_of_t=lambda t: settings.w(t) * settings.dt / settings.dz,
advectee_of_zZ_at_t0=lambda zZ: settings.qv(zZ * settings.dz),
g_factor_of_zZ=lambda zZ: settings.rhod(zZ * settings.dz))
builder.set_environment(env)
builder.add_dynamic(AmbientThermodynamics())
builder.add_dynamic(
Condensation(adaptive=settings.condensation_adaptive,
rtol_thd=settings.condensation_rtol_thd,
rtol_x=settings.condensation_rtol_x,
kappa=settings.kappa))
builder.add_dynamic(EulerianAdvection(mpdata))
if settings.precip:
builder.add_dynamic(
Coalescence(kernel=Geometric(collection_efficiency=1),
adaptive=settings.coalescence_adaptive))
builder.add_dynamic(
Displacement(enable_sedimentation=True,
courant_field=(np.zeros(settings.nz +
1), ))) # TODO #414
attributes = env.init_attributes(
spatial_discretisation=spatial_sampling.Pseudorandom(),
spectral_discretisation=spectral_sampling.ConstantMultiplicity(
spectrum=settings.wet_radius_spectrum_per_mass_of_dry_air),
kappa=settings.kappa)
products = [
PySDM_products.RelativeHumidity(),
PySDM_products.Pressure(),
PySDM_products.Temperature(),
PySDM_products.WaterVapourMixingRatio(),
PySDM_products.WaterMixingRatio(
name='ql',
description_prefix='cloud',
radius_range=settings.cloud_water_radius_range),
PySDM_products.WaterMixingRatio(
name='qr',
description_prefix='rain',
radius_range=settings.rain_water_radius_range),
PySDM_products.DryAirDensity(),
PySDM_products.DryAirPotentialTemperature(),
PySDM_products.ParticlesDrySizeSpectrum(
v_bins=settings.v_bin_edges),
PySDM_products.ParticlesWetSizeSpectrum(
v_bins=settings.v_bin_edges),
PySDM_products.CloudDropletConcentration(
radius_range=settings.cloud_water_radius_range),
PySDM_products.AerosolConcentration(
radius_threshold=settings.cloud_water_radius_range[0]),
PySDM_products.ParticleMeanRadius(),
PySDM_products.RipeningRate(),
PySDM_products.ActivatingRate(),
PySDM_products.DeactivatingRate(),
PySDM_products.CloudDropletEffectiveRadius(
radius_range=settings.cloud_water_radius_range),
PySDM_products.PeakSupersaturation()
]
self.core = builder.build(attributes=attributes, products=products)
def __init__(self, settings, backend=CPU):
self.nt = settings.nt
self.z0 = -settings.particle_reservoir_depth
builder = Builder(n_sd=settings.n_sd,
backend=backend(formulae=settings.formulae))
mesh = Mesh(
grid=(settings.nz, ),
size=(settings.z_max + settings.particle_reservoir_depth, ),
)
env = Kinematic1D(
dt=settings.dt,
mesh=mesh,
thd_of_z=settings.thd,
rhod_of_z=settings.rhod,
z0=-settings.particle_reservoir_depth,
)
def zZ_to_z_above_reservoir(zZ):
z_above_reservoir = zZ * (settings.nz * settings.dz) + self.z0
return z_above_reservoir
self.mpdata = MPDATA_1D(
nz=settings.nz,
dt=settings.dt,
mpdata_settings=settings.mpdata_settings,
advector_of_t=lambda t: settings.rho_times_w(t) * settings.dt /
settings.dz,
advectee_of_zZ_at_t0=lambda zZ: settings.qv(
zZ_to_z_above_reservoir(zZ)),
g_factor_of_zZ=lambda zZ: settings.rhod(zZ_to_z_above_reservoir(zZ)
),
)
_extra_nz = settings.particle_reservoir_depth // settings.dz
_z_vec = settings.dz * np.linspace(-_extra_nz, settings.nz - _extra_nz,
settings.nz + 1)
self.g_factor_vec = settings.rhod(_z_vec)
builder.set_environment(env)
builder.add_dynamic(AmbientThermodynamics())
builder.add_dynamic(
Condensation(
adaptive=settings.condensation_adaptive,
rtol_thd=settings.condensation_rtol_thd,
rtol_x=settings.condensation_rtol_x,
))
builder.add_dynamic(EulerianAdvection(self.mpdata))
if settings.precip:
if settings.breakup:
builder.add_dynamic(
Collision(
collision_kernel=Geometric(collection_efficiency=1),
coalescence_efficiency=ConstEc(Ec=0.95),
breakup_efficiency=ConstEb(Eb=1.0),
fragmentation_function=ExponFrag(scale=100 * si.um),
adaptive=settings.coalescence_adaptive,
))
else:
builder.add_dynamic(
Coalescence(
collision_kernel=Geometric(collection_efficiency=1),
adaptive=settings.coalescence_adaptive,
))
displacement = Displacement(
enable_sedimentation=settings.precip,
precipitation_counting_level_index=int(
settings.particle_reservoir_depth / settings.dz),
)
builder.add_dynamic(displacement)
attributes = env.init_attributes(
spatial_discretisation=spatial_sampling.Pseudorandom(),
spectral_discretisation=spectral_sampling.ConstantMultiplicity(
spectrum=settings.wet_radius_spectrum_per_mass_of_dry_air),
kappa=settings.kappa,
)
products = [
PySDM_products.AmbientRelativeHumidity(name="RH", unit="%"),
PySDM_products.AmbientPressure(name="p"),
PySDM_products.AmbientTemperature(name="T"),
PySDM_products.AmbientWaterVapourMixingRatio(name="qv"),
PySDM_products.WaterMixingRatio(
name="ql",
unit="g/kg",
radius_range=settings.cloud_water_radius_range),
PySDM_products.WaterMixingRatio(
name="qr",
unit="g/kg",
radius_range=settings.rain_water_radius_range),
PySDM_products.AmbientDryAirDensity(name="rhod"),
PySDM_products.AmbientDryAirPotentialTemperature(name="thd"),
PySDM_products.ParticleSizeSpectrumPerVolume(
name="dry spectrum",
radius_bins_edges=settings.r_bins_edges,
dry=True),
PySDM_products.ParticleSizeSpectrumPerVolume(
name="wet spectrum", radius_bins_edges=settings.r_bins_edges),
PySDM_products.ParticleConcentration(
name="nc", radius_range=settings.cloud_water_radius_range),
PySDM_products.ParticleConcentration(
name="na",
radius_range=(0, settings.cloud_water_radius_range[0])),
PySDM_products.MeanRadius(),
PySDM_products.RipeningRate(),
PySDM_products.ActivatingRate(),
PySDM_products.DeactivatingRate(),
PySDM_products.EffectiveRadius(
radius_range=settings.cloud_water_radius_range),
PySDM_products.PeakSupersaturation(unit="%"),
PySDM_products.SuperDropletCountPerGridbox(),
]
self.particulator = builder.build(attributes=attributes,
products=products)
def reinit(self):
builder = Builder(n_sd=self.setup.n_sd, backend=self.setup.backend)
builder.set_environment(
MoistEulerian2DKinematic(
dt=self.setup.dt,
grid=self.setup.grid,
size=self.setup.size,
stream_function=self.setup.stream_function,
field_values=self.setup.field_values,
rhod_of=self.setup.rhod,
mpdata_iga=self.setup.mpdata_iga,
mpdata_tot=self.setup.mpdata_tot,
mpdata_fct=self.setup.mpdata_fct,
mpdata_iters=self.setup.mpdata_iters))
condensation = Condensation(
kappa=self.setup.kappa,
rtol_x=self.setup.condensation_rtol_x,
rtol_thd=self.setup.condensation_rtol_thd,
coord=self.setup.condensation_coord,
adaptive=self.setup.adaptive,
do_advection=self.setup.
processes["fluid advection"], # TODO req. EulerianAdvection
do_condensation=self.setup.processes["condensation"]
) # do somthing with that)
builder.add_dynamic(condensation)
builder.add_dynamic(EulerianAdvection())
if self.setup.processes["particle advection"]:
displacement = Displacement(
scheme='FTBS',
sedimentation=self.setup.processes["sedimentation"])
builder.add_dynamic(displacement)
if self.setup.processes["coalescence"]:
builder.add_dynamic(Coalescence(kernel=self.setup.kernel))
attributes = {}
moist_environment_init(
attributes,
builder.core.environment,
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)
products = [
ParticlesWetSizeSpectrum(v_bins=self.setup.v_bins,
normalise_by_dv=True),
ParticlesDrySizeSpectrum(
v_bins=self.setup.v_bins,
normalise_by_dv=True), # Note: better v_bins
TotalParticleConcentration(),
TotalParticleSpecificConcentration(),
AerosolConcentration(
radius_threshold=self.setup.aerosol_radius_threshold),
CloudConcentration(
radius_range=(self.setup.aerosol_radius_threshold,
self.setup.drizzle_radius_threshold)),
DrizzleConcentration(
radius_threshold=self.setup.drizzle_radius_threshold),
AerosolSpecificConcentration(
radius_threshold=self.setup.aerosol_radius_threshold),
ParticleMeanRadius(),
SuperDropletCount(),
RelativeHumidity(),
WaterVapourMixingRatio(),
DryAirDensity(),
DryAirPotentialTemperature(),
CondensationTimestep(),
# RipeningRate()
]
self.core = builder.build(attributes, products)
SpinUp(self.core, self.setup.n_spin_up)
# TODO
if self.storage is not None:
self.storage.init(self.setup)
def _compute_gamma(prob, rand, is_first_in_pair):
backend_fill(prob, p)
Coalescence.compute_gamma(sut, prob, rand, is_first_in_pair)
def _compute_gamma(prob, rand, is_first_in_pair):
from PySDM.dynamics import Coalescence
backend_fill(prob, p)
Coalescence.compute_gamma(sut, prob, rand, is_first_in_pair)
def reinit(self, products=None):
builder = Builder(n_sd=self.settings.n_sd,
backend=self.backend,
formulae=self.settings.formulae)
environment = Kinematic2D(dt=self.settings.dt,
grid=self.settings.grid,
size=self.settings.size,
rhod_of=self.settings.rhod,
field_values=self.settings.field_values)
builder.set_environment(environment)
cloud_range = (self.settings.aerosol_radius_threshold,
self.settings.drizzle_radius_threshold)
if products is not None:
products = list(products)
products = products or [
PySDM_products.ParticlesWetSizeSpectrum(
v_bins=self.settings.v_bins, normalise_by_dv=True),
PySDM_products.ParticlesDrySizeSpectrum(
v_bins=self.settings.v_bins,
normalise_by_dv=True), # Note: better v_bins
PySDM_products.TotalParticleConcentration(),
PySDM_products.TotalParticleSpecificConcentration(),
PySDM_products.AerosolConcentration(
radius_threshold=self.settings.aerosol_radius_threshold),
PySDM_products.CloudDropletConcentration(radius_range=cloud_range),
PySDM_products.WaterMixingRatio(name='qc',
description_prefix='Cloud',
radius_range=cloud_range),
PySDM_products.WaterMixingRatio(
name='qr',
description_prefix='Rain',
radius_range=(self.settings.drizzle_radius_threshold, np.inf)),
PySDM_products.DrizzleConcentration(
radius_threshold=self.settings.drizzle_radius_threshold),
PySDM_products.AerosolSpecificConcentration(
radius_threshold=self.settings.aerosol_radius_threshold),
PySDM_products.ParticleMeanRadius(),
PySDM_products.SuperDropletCount(),
PySDM_products.RelativeHumidity(),
PySDM_products.Pressure(),
PySDM_products.Temperature(),
PySDM_products.WaterVapourMixingRatio(),
PySDM_products.DryAirDensity(),
PySDM_products.DryAirPotentialTemperature(),
PySDM_products.CPUTime(),
PySDM_products.WallTime(),
PySDM_products.CloudDropletEffectiveRadius(
radius_range=cloud_range),
PySDM_products.PeakSupersaturation(),
PySDM_products.ActivatingRate(),
PySDM_products.DeactivatingRate(),
PySDM_products.RipeningRate()
]
fields = Fields(environment, self.settings.stream_function)
if self.settings.processes[
'fluid advection']: # TODO #37 ambient thermodynamics checkbox
builder.add_dynamic(AmbientThermodynamics())
if self.settings.processes["condensation"]:
condensation = Condensation(
kappa=self.settings.kappa,
rtol_x=self.settings.condensation_rtol_x,
rtol_thd=self.settings.condensation_rtol_thd,
adaptive=self.settings.condensation_adaptive,
substeps=self.settings.condensation_substeps,
dt_cond_range=self.settings.condensation_dt_cond_range,
schedule=self.settings.condensation_schedule)
builder.add_dynamic(condensation)
products.append(PySDM_products.CondensationTimestepMin()
) # TODO #37 and what if a user doesn't want it?
products.append(PySDM_products.CondensationTimestepMax())
if self.settings.processes['fluid advection']:
solver = MPDATA(fields=fields,
n_iters=self.settings.mpdata_iters,
infinite_gauge=self.settings.mpdata_iga,
flux_corrected_transport=self.settings.mpdata_fct,
third_order_terms=self.settings.mpdata_tot)
builder.add_dynamic(EulerianAdvection(solver))
if self.settings.processes["particle advection"]:
displacement = Displacement(
courant_field=fields.courant_field,
enable_sedimentation=self.settings.processes["sedimentation"])
builder.add_dynamic(displacement)
products.append(
PySDM_products.SurfacePrecipitation()) # TODO #37 ditto
if self.settings.processes["coalescence"]:
builder.add_dynamic(
Coalescence(
kernel=self.settings.kernel,
adaptive=self.settings.coalescence_adaptive,
dt_coal_range=self.settings.coalescence_dt_coal_range,
substeps=self.settings.coalescence_substeps,
optimized_random=self.settings.coalescence_optimized_random
))
products.append(PySDM_products.CoalescenceTimestepMean())
products.append(PySDM_products.CoalescenceTimestepMin())
products.append(PySDM_products.CollisionRate())
products.append(PySDM_products.CollisionRateDeficit())
attributes = environment.init_attributes(
spatial_discretisation=spatial_sampling.Pseudorandom(),
spectral_discretisation=spectral_sampling.ConstantMultiplicity(
spectrum=self.settings.spectrum_per_mass_of_dry_air),
kappa=self.settings.kappa)
self.core = builder.build(attributes, products)
SpinUp(self.core, self.settings.n_spin_up)
if self.storage is not None:
self.storage.init(self.settings)