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=(10.0, 10.0), met_latitude_buffer=(10.0, 10.0), met_level_buffer=(40.0, 40.0), 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: AdvectionBuffers

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=(10.0, 10.0), met_latitude_buffer=(10.0, 10.0), met_level_buffer=(40.0, 40.0), 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 [WGS84] for evolution by advection.
`met_level_buffer`	Met level buffer [\(hPa\)] for evolution by advection.
`met_longitude_buffer`	Met longitude [WGS84] buffer for evolution by advection.
`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`

as_dict()¶

Convert object to dictionary.

We use this method instead of dataclasses.asdict to use a shallow/unrecursive copy. This will return values as Any instead of dict.

Returns:: dict[str, Any] – Dictionary version of self.

azimuth = 0.0¶

copy_source = True¶: Copy input source data on eval

depth = 100.0¶

downselect_met = True¶: Downselect input MetDataset` to region around source.

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.

interpolation_bounds_error = False¶: If True, points lying outside interpolation will raise an error

interpolation_fill_value = nan¶: Used for outside interpolation value if interpolation_bounds_error is False

interpolation_localize = False¶: Experimental. See pycontrails.core.interpolation.

interpolation_method = 'linear'¶: Interpolation method. Supported methods include “linear”, “nearest”, “slinear”, “cubic”, and “quintic”. See scipy.interpolate.RegularGridInterpolator for the description of each method. Not all methods are supported by all met grids. For example, the “cubic” method requires at least 4 points per dimension.

interpolation_q_method = None¶: Experimental. Alternative interpolation method to account for specific humidity lapse rate bias. Must be one of None, "cubic-spline", or "log-q-log-p". If None, no special interpolation is used for specific humidity. The "cubic-spline" method applies a custom stretching of the met interpolation table to account for the specific humidity lapse rate bias. The "log-q-log-p" method interpolates in the log of specific humidity and pressure, then converts back to specific humidity. Only used by models calling to interpolate_met().

interpolation_use_indices = False¶: Experimental. See pycontrails.core.interpolation.

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.

met_latitude_buffer = (10.0, 10.0)¶: Met latitude buffer [WGS84] for evolution by advection.

met_level_buffer = (40.0, 40.0)¶: Met level buffer [\(hPa\)] for evolution by advection.

met_longitude_buffer = (10.0, 10.0)¶: Met longitude [WGS84] buffer for evolution by advection.

met_time_buffer = (np.timedelta64(0,'h'), np.timedelta64(0,'h'))¶: Met time buffer for input to Flight.downselect_met() Only applies when downselect_met is True.

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

verify_met = True¶: Call _verify_met() on model instantiation.

width = 100.0¶