The scenario_t structure and associated subroutines. More...

Data Types
type	drydep_params_t
	Parameters for simulating dry deposition. More...

type	scenario_t
	Scenario data. More...

Functions/Subroutines
subroutine	scenario_init_env_state (scenario, env_state, time)
	Initialize the time-dependent contents of the environment. Thereafter scenario_update_env_state() should be used. More...

subroutine	scenario_update_env_state (scenario, env_state, time)
	Update time-dependent contents of the environment. scenario_init_env_state() should have been called at the start. More...

subroutine	scenario_update_gas_state (scenario, delta_t, env_state, old_env_state, gas_data, gas_state)
	Do gas emissions and background dilution. More...

subroutine	scenario_update_aero_state (scenario, delta_t, env_state, old_env_state, aero_data, aero_state, n_emit, n_dil_in, n_dil_out, allow_doubling, allow_halving)
	Do emissions and background dilution for a particle aerosol distribution. More...

subroutine	scenario_update_aero_binned (scenario, delta_t, env_state, old_env_state, bin_grid, aero_data, do_aero_dilution, aero_binned)
	Do emissions and background dilution from the environment for a binned aerosol distribution. More...

subroutine	scenario_update_aero_modes (aero_dist, del_t, env_state, density, scenario)
	Update the modal aerosol distribution to account for particle loss. More...

real(kind=dp) function	scenario_loss_rate (scenario, vol, density, aero_data, env_state)
	Evaluate a loss rate function. More...

real(kind=dp) function	scenario_loss_rate_drydep (vol, density, aero_data, env_state, scenario)
	Compute and return the dry deposition rate for a given particle. All equations used here are written in detail in the file `doc/deposition/deposition.tex`. More...

real(kind=dp) function	scenario_integrated_loss_rate_drydep (scenario, aero_mode, moment, density, env_state)
	Compute and return the integrated dry deposition rate for a given lognormal aerosol mode (modal approximation). More...

subroutine	scenario_modal_drydep_velocities (scenario, aero_dist, moment, density, env_state, velocities)
	Updates an array to contain the integrated deposition velocities for the given moment of each aerosol mode in the distribution. More...

real(kind=dp) function	scenario_loss_rate_max (scenario, vol, aero_data, env_state)
	Compute and return the max loss rate function for a given volume. More...

subroutine	scenario_loss_rate_bin_max (scenario, bin_grid, aero_data, env_state, loss_max)
	Compute an upper bound on the maximum kernel value for each bin. Value over_scale is multiplied to the maximum sampled value to get the upper bound. A tighter bound may be reached if over_scale is smaller, but that also risks falling below a kernel value. More...

subroutine	scenario_particle_loss (scenario, delta_t, aero_data, aero_state, env_state)
	Performs stochastic particle loss for one time-step. If a particle `i_part` has a scenario_loss_rate() value of rate, then the probability p will be removed by this function is `1 - exp(-delta_trate)`. Uses an accept-reject algorithm for efficiency, in which a particle is first sampled with rate `1 - exp(-delta_tover_rate)` and then accepted with rate `(1 - exp(-delta_trate))/(1 - exp(-delta_tover_rate))`. More...

subroutine	scenario_try_single_particle_loss (scenario, delta_t, aero_data, aero_state, env_state, i_part, over_prob)
	Test a candidate particle to see if it should be removed, and remove if necessary. Particle is removed with probability (1d0 - exp(-delta_t*rate))/over_prob, where rate is the loss function evaluated for the given particle. More...

subroutine	scenario_binned_loss (scenario, bin_grid, delta_t, aero_data, env_state, aero_binned)
	Performs loss for a binned aerosol distribution for one time step. More...

elemental logical function	scenario_contains_aero_mode_type (scenario, aero_mode_type)
	Whether any of the contained aerosol modes are of the given type. More...

subroutine	drydep_params_output_netcdf (drydep_params, ncid)
	Write dry deposition parameters to a NetCDF file. More...

subroutine	drydep_params_input_netcdf (drydep_params, ncid, must_be_present)
	Read dry deposition parameters from a NetCDF file. More...

integer function	pmc_mpi_pack_size_scenario (val)
	Determines the number of bytes required to pack the given value. More...

subroutine	pmc_mpi_pack_scenario (buffer, position, val)
	Packs the given value into the buffer, advancing position. More...

subroutine	pmc_mpi_unpack_scenario (buffer, position, val)
	Unpacks the given value from the buffer, advancing position. More...

integer function	pmc_mpi_pack_size_drydep (val)
	Determines the number of bytes required to pack the given value. More...

subroutine	pmc_mpi_pack_drydep (buffer, position, val)
	Packs the given value into the buffer, advancing position. More...

subroutine	pmc_mpi_unpack_drydep (buffer, position, val)
	Unpacks the given value from the buffer, advancing position. More...

Variables
integer, parameter	scenario_loss_function_invalid = 0
	Type code for an undefined or invalid loss function. More...

integer, parameter	scenario_loss_function_none = 1
	Type code for a zero loss function. More...

integer, parameter	scenario_loss_function_constant = 2
	Type code for a constant loss function. More...

integer, parameter	scenario_loss_function_volume = 3
	Type code for a loss rate function proportional to particle volume. More...

integer, parameter	scenario_loss_function_drydep = 4
	Type code for a loss rate function based on dry deposition. More...

integer, parameter	scenario_loss_function_chamber = 5
	Type code for a loss rate function for chamber experiments. More...

real(kind=dp), parameter	scenario_loss_alg_threshold = 1.0d0
	Parameter to switch between algorithms for particle loss. A value of 0 will always use the naive algorithm, and a value of 1 will always use the accept-reject algorithm. More...

Detailed Description

The scenario_t structure and associated subroutines.

Function/Subroutine Documentation

◆ drydep_params_input_netcdf()

subroutine pmc_scenario::drydep_params_input_netcdf	(	type(drydep_params_t), intent(inout)	drydep_params,
		integer, intent(in)	ncid,
		logical, intent(in), optional	must_be_present
	)

Read dry deposition parameters from a NetCDF file.

Parameters

[in,out]	drydep_params	Dry deposition parameters.
[in]	ncid	NetCDF file ID, in data mode.
[in]	must_be_present	Whether the parameters must be present in the file (default .true.). They are only written when the loss function is dry deposition, so readers that may be given either kind of file should pass .false., which leaves `drydep_params` unchanged.

Definition at line 1549 of file scenario.F90.

◆ drydep_params_output_netcdf()

subroutine pmc_scenario::drydep_params_output_netcdf	(	type(drydep_params_t), intent(in)	drydep_params,
		integer, intent(in)	ncid
	)

Write dry deposition parameters to a NetCDF file.

Parameters

[in]	drydep_params	Dry deposition parameters.
[in]	ncid	NetCDF file ID, in data mode.

Definition at line 1521 of file scenario.F90.

◆ pmc_mpi_pack_drydep()

subroutine pmc_scenario::pmc_mpi_pack_drydep	(	character, dimension(:), intent(inout)	buffer,
		integer, intent(inout)	position,
		type(drydep_params_t), intent(in)	val
	)

Packs the given value into the buffer, advancing position.

Parameters

[in,out]	buffer	Memory buffer.
[in,out]	position	Current buffer position.
[in]	val	Value to pack.

Definition at line 1804 of file scenario.F90.

◆ pmc_mpi_pack_scenario()

subroutine pmc_scenario::pmc_mpi_pack_scenario	(	character, dimension(:), intent(inout)	buffer,
		integer, intent(inout)	position,
		type(scenario_t), intent(in)	val
	)

Packs the given value into the buffer, advancing position.

Parameters

[in,out]	buffer	Memory buffer.
[in,out]	position	Current buffer position.
[in]	val	Value to pack.

Definition at line 1649 of file scenario.F90.

◆ pmc_mpi_pack_size_drydep()

integer function pmc_scenario::pmc_mpi_pack_size_drydep ( type(drydep_params_t), intent(in) val )

Determines the number of bytes required to pack the given value.

Parameters

[in] val Value to pack.

Definition at line 1780 of file scenario.F90.

◆ pmc_mpi_pack_size_scenario()

integer function pmc_scenario::pmc_mpi_pack_size_scenario ( type(scenario_t), intent(in) val )

Determines the number of bytes required to pack the given value.

Parameters

[in] val Value to pack.

Definition at line 1592 of file scenario.F90.

◆ pmc_mpi_unpack_drydep()

subroutine pmc_scenario::pmc_mpi_unpack_drydep	(	character, dimension(:), intent(inout)	buffer,
		integer, intent(inout)	position,
		type(drydep_params_t), intent(inout)	val
	)

Unpacks the given value from the buffer, advancing position.

Parameters

[in,out]	buffer	Memory buffer.
[in,out]	position	Current buffer position.
[in,out]	val	Value to pack.

Definition at line 1838 of file scenario.F90.

◆ pmc_mpi_unpack_scenario()

subroutine pmc_scenario::pmc_mpi_unpack_scenario	(	character, dimension(:), intent(inout)	buffer,
		integer, intent(inout)	position,
		type(scenario_t), intent(inout)	val
	)

Unpacks the given value from the buffer, advancing position.

Parameters

[in,out]	buffer	Memory buffer.
[in,out]	position	Current buffer position.
[in,out]	val	Value to pack.

Definition at line 1709 of file scenario.F90.

◆ scenario_binned_loss()

subroutine pmc_scenario::scenario_binned_loss	(	type(scenario_t), intent(in)	scenario,
		type(bin_grid_t), intent(in)	bin_grid,
		real(kind=dp), intent(in)	delta_t,
		type(aero_data_t), intent(in)	aero_data,
		type(env_state_t), intent(in)	env_state,
		type(aero_binned_t), intent(inout)	aero_binned
	)

Performs loss for a binned aerosol distribution for one time step.

Parameters

[in]	scenario	Scenario data.
[in]	bin_grid	Bin grid.
[in]	delta_t	Time increment to update over.
[in]	aero_data	Aerosol data.
[in]	env_state	Environmental state.
[in,out]	aero_binned	Binned aerosol data.

Definition at line 1136 of file scenario.F90.

◆ scenario_contains_aero_mode_type()

elemental logical function pmc_scenario::scenario_contains_aero_mode_type	(	type(scenario_t), intent(in)	scenario,
		integer, intent(in)	aero_mode_type
	)

Whether any of the contained aerosol modes are of the given type.

Parameters

[in]	scenario	Scenario data.
[in]	aero_mode_type	Aerosol mode type to test for.

Definition at line 1190 of file scenario.F90.

◆ scenario_init_env_state()

subroutine pmc_scenario::scenario_init_env_state	(	type(scenario_t), intent(in)	scenario,
		type(env_state_t), intent(inout)	env_state,
		real(kind=dp), intent(in)	time
	)

Initialize the time-dependent contents of the environment. Thereafter scenario_update_env_state() should be used.

Parameters

[in]	scenario	Scenario data.
[in,out]	env_state	Environment state to update.
[in]	time	Current time (s).

Definition at line 145 of file scenario.F90.

◆ scenario_integrated_loss_rate_drydep()

real(kind=dp) function pmc_scenario::scenario_integrated_loss_rate_drydep	(	type(scenario_t), intent(in)	scenario,
		type(aero_mode_t), intent(in)	aero_mode,
		real(kind=dp), intent(in)	moment,
		real(kind=dp), intent(in)	density,
		type(env_state_t), intent(in)	env_state
	)

Compute and return the integrated dry deposition rate for a given lognormal aerosol mode (modal approximation).

Parameters

[in]	scenario	Scenario data.
[in]	aero_mode	Aerosol mode.
[in]	moment	Moment to calculate loss rate for.
[in]	density	Particle density assumed for entire mode (kg m^-3).
[in]	env_state	Environment state.

Definition at line 646 of file scenario.F90.

◆ scenario_loss_rate()

real(kind=dp) function pmc_scenario::scenario_loss_rate	(	type(scenario_t), intent(in)	scenario,
		real(kind=dp), intent(in)	vol,
		real(kind=dp), intent(in)	density,
		type(aero_data_t), intent(in)	aero_data,
		type(env_state_t), intent(in)	env_state
	)

Evaluate a loss rate function.

Parameters

[in]	scenario	Scenario data.
[in]	vol	Volume of particle (m^3).
[in]	density	Density of particle (kg/m^3).
[in]	aero_data	Aerosol data.
[in]	env_state	Environment state.

Definition at line 506 of file scenario.F90.

◆ scenario_loss_rate_bin_max()

subroutine pmc_scenario::scenario_loss_rate_bin_max	(	type(scenario_t), intent(in)	scenario,
		type(bin_grid_t), intent(in)	bin_grid,
		type(aero_data_t), intent(in)	aero_data,
		type(env_state_t), intent(in)	env_state,
		real(kind=dp), dimension(bin_grid_size(bin_grid)), intent(out)	loss_max
	)

Compute an upper bound on the maximum kernel value for each bin. Value over_scale is multiplied to the maximum sampled value to get the upper bound. A tighter bound may be reached if over_scale is smaller, but that also risks falling below a kernel value.

Parameters

[in]	scenario	Scenario data.
[in]	bin_grid	Bin_grid.
[in]	aero_data	Aerosol data.
[in]	env_state	Environment state.
[out]	loss_max	Maximum loss vals.

Number of sample points per bin.

Over-estimation scale factor parameter.

Definition at line 965 of file scenario.F90.

◆ scenario_loss_rate_drydep()

real(kind=dp) function pmc_scenario::scenario_loss_rate_drydep	(	real(kind=dp), intent(in)	vol,
		real(kind=dp), intent(in)	density,
		type(aero_data_t), intent(in)	aero_data,
		type(env_state_t), intent(in)	env_state,
		type(scenario_t), intent(in)	scenario
	)

Compute and return the dry deposition rate for a given particle. All equations used here are written in detail in the file doc/deposition/deposition.tex.

Parameters

[in]	vol	Particle volume (m^3).
[in]	density	Particle density (kg m^-3).
[in]	aero_data	Aerosol data.
[in]	env_state	Environment state.
[in]	scenario	Scenario data.

Definition at line 552 of file scenario.F90.

◆ scenario_loss_rate_max()

real(kind=dp) function pmc_scenario::scenario_loss_rate_max	(	type(scenario_t), intent(in)	scenario,
		real(kind=dp), intent(in)	vol,
		type(aero_data_t), intent(in)	aero_data,
		type(env_state_t), intent(in)	env_state
	)

Compute and return the max loss rate function for a given volume.

Parameters

[in]	scenario	Scenario data.
[in]	vol	Particle volume (m^3).
[in]	aero_data	Aerosol data.
[in]	env_state	Environment state.

Number of density sample points.

Definition at line 928 of file scenario.F90.

◆ scenario_modal_drydep_velocities()

subroutine pmc_scenario::scenario_modal_drydep_velocities	(	type(scenario_t), intent(in)	scenario,
		type(aero_dist_t), intent(in)	aero_dist,
		real(kind=dp), intent(in)	moment,
		real(kind=dp), intent(in)	density,
		type(env_state_t), intent(in)	env_state,
		real(kind=dp), dimension(:), intent(inout)	velocities
	)

Updates an array to contain the integrated deposition velocities for the given moment of each aerosol mode in the distribution.

Parameters

[in]	scenario	Scenario data.
[in]	aero_dist	Aerosol distribution.
[in]	moment	Moment to compute deposition velocities for.
[in]	density	Density for the mode.
[in]	env_state	Environment state.
[in,out]	velocities	Modal dry deposition velocities.

Definition at line 899 of file scenario.F90.

◆ scenario_particle_loss()

subroutine pmc_scenario::scenario_particle_loss	(	type(scenario_t), intent(in)	scenario,
		real(kind=dp), intent(in)	delta_t,
		type(aero_data_t), intent(in)	aero_data,
		type(aero_state_t), intent(inout)	aero_state,
		type(env_state_t), intent(in)	env_state
	)

Performs stochastic particle loss for one time-step. If a particle i_part has a scenario_loss_rate() value of rate, then the probability p will be removed by this function is 1 - exp(-delta_t*rate). Uses an accept-reject algorithm for efficiency, in which a particle is first sampled with rate 1 - exp(-delta_t*over_rate) and then accepted with rate (1 - exp(-delta_t*rate))/(1 - exp(-delta_t*over_rate)).

Parameters

[in]	scenario	Scenario data.
[in]	delta_t	Time increment to update over.
[in]	aero_data	Aerosol data.
[in,out]	aero_state	Aerosol state.
[in]	env_state	Environment state.

Definition at line 1011 of file scenario.F90.

◆ scenario_try_single_particle_loss()

subroutine pmc_scenario::scenario_try_single_particle_loss	(	type(scenario_t), intent(in)	scenario,
		real(kind=dp), intent(in)	delta_t,
		type(aero_data_t), intent(in)	aero_data,
		type(aero_state_t), intent(inout)	aero_state,
		type(env_state_t), intent(in)	env_state,
		integer, intent(in)	i_part,
		real(kind=dp), intent(in)	over_prob
	)

Test a candidate particle to see if it should be removed, and remove if necessary. Particle is removed with probability (1d0 - exp(-delta_t*rate))/over_prob, where rate is the loss function evaluated for the given particle.

Parameters

[in]	scenario	Scenario data.
[in]	delta_t	Time increment to update over.
[in]	aero_data	Aerosol data.
[in,out]	aero_state	Aerosol state.
[in]	env_state	Environment state.
[in]	i_part	Index of particle to attempt removal
[in]	over_prob	Overestimated removal probability used previously

Definition at line 1096 of file scenario.F90.

◆ scenario_update_aero_binned()

subroutine pmc_scenario::scenario_update_aero_binned	(	type(scenario_t), intent(in)	scenario,
		real(kind=dp), intent(in)	delta_t,
		type(env_state_t), intent(in)	env_state,
		type(env_state_t), intent(in)	old_env_state,
		type(bin_grid_t), intent(in)	bin_grid,
		type(aero_data_t), intent(in)	aero_data,
		logical, intent(in)	do_aero_dilution,
		type(aero_binned_t), intent(inout)	aero_binned
	)

Do emissions and background dilution from the environment for a binned aerosol distribution.

See scenario_update_gas_state() for a description of the model.

Parameters

[in]	scenario	Scenario data.
[in]	delta_t	Time increment to update over.
[in]	env_state	Current environment.
[in]	old_env_state	Previous environment.
[in]	bin_grid	Bin grid.
[in]	aero_data	Aero data values.
[in]	do_aero_dilution	Whether to do dilution.
[in,out]	aero_binned	Aero binned to update.

Definition at line 384 of file scenario.F90.

◆ scenario_update_aero_modes()

subroutine pmc_scenario::scenario_update_aero_modes	(	type(aero_dist_t), intent(inout)	aero_dist,
		real(kind=dp), intent(in)	del_t,
		type(env_state_t), intent(in)	env_state,
		real(kind=dp), intent(in)	density,
		type(scenario_t), intent(in)	scenario
	)

Update the modal aerosol distribution to account for particle loss.

Parameters

[in,out]	aero_dist	Aerosol distribution.
[in]	del_t	Timestep.
[in]	env_state	Environment state.
[in]	density	Particle density (kg m^-3), assumed uniform across all modes.
[in]	scenario	Scenario data.

Definition at line 441 of file scenario.F90.

◆ scenario_update_aero_state()

subroutine pmc_scenario::scenario_update_aero_state	(	type(scenario_t), intent(in)	scenario,
		real(kind=dp), intent(in)	delta_t,
		type(env_state_t), intent(in)	env_state,
		type(env_state_t), intent(in)	old_env_state,
		type(aero_data_t), intent(in)	aero_data,
		type(aero_state_t), intent(inout)	aero_state,
		integer, intent(out)	n_emit,
		integer, intent(out)	n_dil_in,
		integer, intent(out)	n_dil_out,
		logical, intent(in)	allow_doubling,
		logical, intent(in)	allow_halving
	)

Do emissions and background dilution for a particle aerosol distribution.

See scenario_update_gas_state() for a description of the model. We additionally scale the number concentration to account for temperature changes.

Parameters

[in]	scenario	Scenario data.
[in]	delta_t	Time increment to update over.
[in]	env_state	Current environment.
[in]	old_env_state	Previous environment.
[in]	aero_data	Aero data values.
[in,out]	aero_state	Aero state to update.
[out]	n_emit	Number of emitted particles.
[out]	n_dil_in	Number of diluted-in particles.
[out]	n_dil_out	Number of diluted-out particles.
[in]	allow_doubling	Whether to allow doubling of the population.
[in]	allow_halving	Whether to allow halving of the population.

Definition at line 294 of file scenario.F90.

◆ scenario_update_env_state()

subroutine pmc_scenario::scenario_update_env_state	(	type(scenario_t), intent(in)	scenario,
		type(env_state_t), intent(inout)	env_state,
		real(kind=dp), intent(in)	time
	)

Update time-dependent contents of the environment. scenario_init_env_state() should have been called at the start.

Parameters

[in]	scenario	Scenario data.
[in,out]	env_state	Environment state to update.
[in]	time	Current time (s).

Ambient water vapor pressure (Pa).

Ambient pressure (Pa)

Ambient temperature (K)

Definition at line 168 of file scenario.F90.

◆ scenario_update_gas_state()

subroutine pmc_scenario::scenario_update_gas_state	(	type(scenario_t), intent(in)	scenario,
		real(kind=dp), intent(in)	delta_t,
		type(env_state_t), intent(in)	env_state,
		type(env_state_t), intent(in)	old_env_state,
		type(gas_data_t), intent(in)	gas_data,
		type(gas_state_t), intent(inout)	gas_state
	)

Do gas emissions and background dilution.

Emissions are given as an areal rate , and then divided by the current box height to obtain a volume rate. There is also a dimensionless rate scaling . All input functions are asusumed constant over the timestep, so the concentration change is given by

$c(t) = c(0) + \frac{r t}{h} e.$

We model dilution by considering a gas concentration in a box of height , subject to first-order dilution with a rate $\lambda(t)$ . Then the effective dilution rate is

$\lambda_{\rm eff}(t) = \lambda(t) + \frac{\dot{h}(t)}{h(t)}$

and the evolution of is given by

$\dot{c}(t) = - \lambda_{\rm eff}(t) c(t).$

Solving this with separation of variables gives

$\frac{c(t)}{c(0)} = \frac{h(0)}{h(t)} \exp\left( - \int_0^t \lambda(t)\,dt\right).$

If we define to be the remaining proportion of the initial concentration, and to be the constant background concentration, then we have

$c(t) = p(t) c(0) + (1 - p(t)) b.$

We assume constant $\lambda$ and we only do entrainment with increasing height , so we have

$p(t) = \min\left(1, \frac{h(0)}{h(t)}\right) \exp(-\lambda t).$

Parameters

[in]	scenario	Scenario data.
[in]	delta_t	Time increment to update over.
[in]	env_state	Current environment.
[in]	old_env_state	Previous environment.
[in]	gas_data	Gas data values.
[in,out]	gas_state	Gas state to update.

Definition at line 242 of file scenario.F90.

Variable Documentation

◆ scenario_loss_alg_threshold

real(kind=dp), parameter pmc_scenario::scenario_loss_alg_threshold = 1.0d0

Parameter to switch between algorithms for particle loss. A value of 0 will always use the naive algorithm, and a value of 1 will always use the accept-reject algorithm.

Definition at line 45 of file scenario.F90.

◆ scenario_loss_function_chamber

integer, parameter pmc_scenario::scenario_loss_function_chamber = 5

Type code for a loss rate function for chamber experiments.

Definition at line 40 of file scenario.F90.

◆ scenario_loss_function_constant

integer, parameter pmc_scenario::scenario_loss_function_constant = 2

Type code for a constant loss function.

Definition at line 34 of file scenario.F90.

◆ scenario_loss_function_drydep

integer, parameter pmc_scenario::scenario_loss_function_drydep = 4

Type code for a loss rate function based on dry deposition.

Definition at line 38 of file scenario.F90.

◆ scenario_loss_function_invalid

integer, parameter pmc_scenario::scenario_loss_function_invalid = 0

Type code for an undefined or invalid loss function.

Definition at line 30 of file scenario.F90.

◆ scenario_loss_function_none

integer, parameter pmc_scenario::scenario_loss_function_none = 1

Type code for a zero loss function.

Definition at line 32 of file scenario.F90.

◆ scenario_loss_function_volume

integer, parameter pmc_scenario::scenario_loss_function_volume = 3

Type code for a loss rate function proportional to particle volume.

Definition at line 36 of file scenario.F90.

Data Types

Functions/Subroutines

Variables

Detailed Description

Function/Subroutine Documentation

◆ drydep_params_input_netcdf()

◆ drydep_params_output_netcdf()

◆ pmc_mpi_pack_drydep()

◆ pmc_mpi_pack_scenario()

◆ pmc_mpi_pack_size_drydep()

◆ pmc_mpi_pack_size_scenario()

◆ pmc_mpi_unpack_drydep()

◆ pmc_mpi_unpack_scenario()

◆ scenario_binned_loss()

◆ scenario_contains_aero_mode_type()

◆ scenario_init_env_state()

◆ scenario_integrated_loss_rate_drydep()

◆ scenario_loss_rate()

◆ scenario_loss_rate_bin_max()

◆ scenario_loss_rate_drydep()

◆ scenario_loss_rate_max()

◆ scenario_modal_drydep_velocities()

◆ scenario_particle_loss()

◆ scenario_try_single_particle_loss()

◆ scenario_update_aero_binned()

◆ scenario_update_aero_modes()

◆ scenario_update_aero_state()

◆ scenario_update_env_state()

◆ scenario_update_gas_state()

Variable Documentation

◆ scenario_loss_alg_threshold

◆ scenario_loss_function_chamber

◆ scenario_loss_function_constant

◆ scenario_loss_function_drydep

◆ scenario_loss_function_invalid

◆ scenario_loss_function_none

◆ scenario_loss_function_volume