pycontrails.models.dry_advection.DryAdvectionParams¶

class pycontrails.models.dry_advection.DryAdvectionParams(copy_source=True, interpolation_method='linear', interpolation_bounds_error=False, interpolation_fill_value=nan, interpolation_localize=False, interpolation_use_indices=False, interpolation_q_method=None, verify_met=True, downselect_met=True, met_longitude_buffer=(0.0, 0.0), met_latitude_buffer=(0.0, 0.0), met_level_buffer=(0.0, 0.0), met_time_buffer=(np.timedelta64(0, 'h'), np.timedelta64(0, 'h')), dt_integration=np.timedelta64(30, 'm'), max_age=np.timedelta64(20, 'h'), sedimentation_rate=0.0, dz_m=200.0, max_depth=1500.0, width=100.0, depth=100.0, azimuth=0.0)¶

Bases: ModelParams

Parameters for the DryAdvection model.

__init__(copy_source=True, interpolation_method='linear', interpolation_bounds_error=False, interpolation_fill_value=nan, interpolation_localize=False, interpolation_use_indices=False, interpolation_q_method=None, verify_met=True, downselect_met=True, met_longitude_buffer=(0.0, 0.0), met_latitude_buffer=(0.0, 0.0), met_level_buffer=(0.0, 0.0), met_time_buffer=(np.timedelta64(0, 'h'), np.timedelta64(0, 'h')), dt_integration=np.timedelta64(30, 'm'), max_age=np.timedelta64(20, 'h'), sedimentation_rate=0.0, dz_m=200.0, max_depth=1500.0, width=100.0, depth=100.0, azimuth=0.0)¶

Methods

`__init__`([copy_source, ...])
`as_dict`()	Convert object to dictionary.

Attributes

`azimuth`
`copy_source`	Copy input `source` data on eval
`depth`
`downselect_met`	Downselect input MetDataset` to region around `source`.
`dt_integration`	Apply Euler's method with a fixed step size of `dt_integration`.
`dz_m`	Difference in altitude between top and bottom layer for stratification calculations, [\(m\)].
`interpolation_bounds_error`	If True, points lying outside interpolation will raise an error
`interpolation_fill_value`	Used for outside interpolation value if `interpolation_bounds_error` is False
`interpolation_localize`	Experimental.
`interpolation_method`	Interpolation method.
`interpolation_q_method`	Experimental.
`interpolation_use_indices`	Experimental.
`max_age`	Max age of plume evolution.
`max_depth`	Upper bound for evolved plume depth, constraining it to realistic values.
`met_latitude_buffer`	Met latitude buffer for input to `Flight.downselect_met()`, in WGS84 coordinates.
`met_level_buffer`	Met level buffer for input to `Flight.downselect_met()`, in [\(hPa\)].
`met_longitude_buffer`	Met longitude buffer for input to `Flight.downselect_met()`, in WGS84 coordinates.
`met_time_buffer`	Met time buffer for input to `Flight.downselect_met()` Only applies when `downselect_met` is True.
`sedimentation_rate`	Rate of change of pressure due to sedimentation [\(Pa/s\)]
`verify_met`	Call `_verify_met()` on model instantiation.
`width`

azimuth = 0.0¶

depth = 100.0¶

dt_integration = np.timedelta64(30,'m')¶: Apply Euler’s method with a fixed step size of dt_integration. Advected waypoints are interpolated against met data once each dt_integration.

dz_m = 200.0¶: Difference in altitude between top and bottom layer for stratification calculations, [\(m\)]. Used to approximate derivative of “lagrangian_tendency_of_air_pressure” (upward component of air velocity) with respect to altitude.

max_age = np.timedelta64(20,'h')¶: Max age of plume evolution.

max_depth = 1500.0¶: Upper bound for evolved plume depth, constraining it to realistic values.

sedimentation_rate = 0.0¶: Rate of change of pressure due to sedimentation [\(Pa/s\)]

width = 100.0¶