def run(setup):
particles_building = ParticlesBuilder(n_sd=setup.n_sd,
backend=setup.backend)
particles_building.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}
particles_building.register_dynamic(Coalescence, {"kernel": setup.kernel})
particles = particles_building.get_particles(attributes)
states = {}
for step in setup.steps:
particles.run(step - particles.n_steps)
return states, particles.stats
def run(setup):
particles_builder = ParticlesBuilder(n_sd=setup.n_sd, backend=setup.backend)
particles_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))
particles_builder.register_dynamic(Coalescence, {"kernel": setup.kernel})
products = {ParticlesVolumeSpectrum: {}}
particles = particles_builder.get_particles(attributes, products)
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 __init__(self, setup):
dt_output = setup.total_time / setup.n_steps # TODO: overwritten in jupyter example
self.n_substeps = 1 # TODO:
while (dt_output / self.n_substeps >= setup.dt_max):
self.n_substeps += 1
self.bins_edges = phys.volume(setup.r_bins_edges)
particles_builder = ParticlesBuilder(backend=setup.backend,
n_sd=setup.n_sd)
particles_builder.set_environment(
MoistLagrangianParcelAdiabatic, {
"dt": dt_output / self.n_substeps,
"mass_of_dry_air": setup.mass_of_dry_air,
"p0": setup.p0,
"q0": setup.q0,
"T0": setup.T0,
"w": setup.w,
"z0": setup.z0
})
environment = particles_builder.particles.environment
r_wet = r_wet_init(setup.r_dry, environment, np.zeros_like(setup.n),
setup.kappa)
particles_builder.register_dynamic(
Condensation, {
"kappa": setup.kappa,
"coord": setup.coord,
"adaptive": setup.adaptive,
"rtol_x": setup.rtol_x,
"rtol_thd": setup.rtol_thd,
})
attributes = {
'n': setup.n,
'dry volume': phys.volume(radius=setup.r_dry),
'volume': phys.volume(radius=r_wet)
}
products = {
ParticlesSizeSpectrum: {
'v_bins': phys.volume(setup.r_bins_edges)
},
CondensationTimestep: {},
RipeningRate: {}
}
self.particles = particles_builder.get_particles(attributes, products)
self.n_steps = setup.n_steps
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 = ParticlesBuilder(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.register_dynamic(Coalescence, {"kernel": kernel})
particles = particles_builder.get_particles(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(backend.to_ndarray(state['volume']))
x_max = np.amax(backend.to_ndarray(state['volume']))
def __init__(self, setup):
t_half = setup.z_half / setup.w_avg
dt_output = (2 * t_half) / setup.n_output
self.n_substeps = 1
while dt_output / self.n_substeps >= setup.dt_max: # TODO dt_max
self.n_substeps += 1
particles_builder = ParticlesBuilder(backend=setup.backend, n_sd=1)
particles_builder.set_environment(
MoistLagrangianParcelAdiabatic, {
"dt": dt_output / self.n_substeps,
"mass_of_dry_air": setup.mass_of_dry_air,
"p0": setup.p0,
"q0": setup.q0,
"T0": setup.T0,
"w": setup.w
})
particles_builder.register_dynamic(
Condensation, {
"kappa": setup.kappa,
"rtol_x": setup.rtol_x,
"rtol_thd": setup.rtol_thd,
})
attributes = {}
r_dry = np.array([setup.r_dry])
attributes['dry volume'] = phys.volume(radius=r_dry)
attributes['n'] = np.array([setup.n_in_dv], dtype=np.int64)
environment = particles_builder.particles.environment
r_wet = r_wet_init(r_dry, environment, np.zeros_like(attributes['n']),
setup.kappa)
attributes['volume'] = phys.volume(radius=r_wet)
products = {ParticleMeanRadius: {}}
self.particles = particles_builder.get_particles(attributes, products)
self.n_output = setup.n_output
def reinit(self):
particles_builder = ParticlesBuilder(n_sd=self.setup.n_sd,
backend=self.setup.backend)
particles_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
})
particles_builder.register_dynamic(
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
})
particles_builder.register_dynamic(EulerianAdvection, {})
if self.setup.processes["particle advection"]:
particles_builder.register_dynamic(
Displacement, {
"scheme": 'FTBS',
"sedimentation": self.setup.processes["sedimentation"]
})
if self.setup.processes["coalescence"]:
particles_builder.register_dynamic(Coalescence,
{"kernel": self.setup.kernel})
# TODO
# if self.setup.processes["relaxation"]:
# raise NotImplementedError()
attributes = {}
moist_environment_init(
attributes,
particles_builder.particles.environment,
spatial_discretisation=spatial_sampling.pseudorandom,
spectral_discretisation=spectral_sampling.
constant_multiplicity, # TODO: random
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 = {
ParticlesSizeSpectrum: {
'v_bins': self.setup.v_bins
},
TotalParticleConcentration: {},
TotalParticleSpecificConcentration: {},
AerosolConcentration: {
'radius_threshold': self.setup.aerosol_radius_threshold
},
AerosolSpecificConcentration: {
'radius_threshold': self.setup.aerosol_radius_threshold
},
ParticleMeanRadius: {},
SuperDropletCount: {},
RelativeHumidity: {},
WaterVapourMixingRatio: {},
DryAirDensity: {},
DryAirPotentialTemperature: {},
CondensationTimestep: {},
RipeningRate: {}
}
self.particles = particles_builder.get_particles(attributes, products)
SpinUp(self.particles, self.setup.n_spin_up)
# TODO
if self.storage is not None:
self.storage.init(self.setup)