pycontrails.models.apcemm.APCEMM¶
- class pycontrails.models.apcemm.APCEMM(met, apcemm_path, apcemm_root=None, apcemm_input_params=None, cachestore=None, params=None, **params_kwargs)¶
Bases:
Model
Run APCEMM as a pycontrails
Model
.This class acts as an adapter between the pycontrails
Model
interface (shared with other contrail models) and APCEMM’s native interface.APCEMM was developed at the MIT Laboratory for Aviation and the Environment and is described in [Fritz et al., 2020].
- Parameters:
met (
MetDataset
) – Pressure level dataset containingmet_variables
variables. See Notes for variable names by data source.apcemm_path (
pathlib.Path | str
) – Path to APCEMM executable. See Notes for information about acquiring and compiling APCEMM.apcemm_root (
pathlib.Path | str
, optional) – Path to APCEMM root directory, used to setinput_background_conditions
andinput_engine_emissions
based on the structure of the APCEMM GitHub repository. If not provided, pycontrails will use the default paths defined inAPCEMMInput
.apcemm_input_params (
APCEMMInput
, optional) – Value for APCEMM input parameters defined inAPCEMMInput
. If provided, values forinput_background_condition
orinput_engine_emissions
will override values set based onapcemm_root
. Attempting to provide values for input parameters that are determined automatically by this interface will result in an error. See Notes for detailed information about YAML file generation.cachestore (
CacheStore
, optional) –CacheStore
used to store APCEMM run directories. If not provided, uses aDiskCacheStore
. See Notes for detailed information about the file structure for APCEMM simulations.params (
dict[str,Any]
, optional) – Override APCEMM model parameters with dictionary. SeeAPCEMMParams
for model parameters.**params_kwargs (
Any
) – Override Cocip model parameters with keyword arguments. SeeAPCEMMParams
for model parameters.
Notes
Meteorology
APCEMM requires temperature, humidity, gepotential height, and winds. Geopotential height is required because APCEMM expects meteorological fields on height rather than pressure surfaces. See
met_variables
for the list of required variables.¶ Parameter
ECMWF
GFS
Air Temperature
air_temperature
air_temperature
Specific Humidity
specific_humidity
specific_humidity
Geopotential/Geopotential Height
geopotential
geopotential_height
Eastward wind
eastward_wind
eastward_wind
Northward wind
northward_wind
northward_wind
Vertical velocity
lagrangian_tendency_of_air_pressure
lagrangian_tendency_of_air_pressure
Acquiring and compiling APCEMM
Users are responsible for acquiring and compiling APCEMM. The APCEMM source code is available through GitHub, and instructions for compiling APCEMM are available in the repository.
Note that APCEMM does not provide versioned releases, and future updates may break this interface. To guarantee compatibility between this interface and APCEMM, users should use commit 9d8e1ee from the APCEMM repository.
Configuring APCEMM YAML files
APCEMMInput
provides low-level control over the contents of YAML files used as APCEMM input. YAML file contents can be controlled by passing custom parameters in a dictionary through theapcemm_input_params
parameter. Note, however, thatAPCEMM
sets a number of APCEMM input parameters automatically, and attempting to override any automatically-determined parameters usingapcemm_input_params
will result in an error. A list of automatically-determined parameters is available indynamic_yaml_params
.Simulation initialization, execution, and postprocessing
This interface initializes, runs, and postprocesses APCEMM simulations in four stages:
A
DryAdvection
model is used to generate trajectories for contrails initialized at each flight waypoint. This is a necessary preprocessing step because APCEMM is a Lagrangian model and does not explicitly track changes in plume location over time. This step also provides time-dependent azimuths that define the orientation of advected contrails, which is required to compute contrail-normal wind shear from horizontal winds. Results from the trajectory calculation are stored intrajectories
.Model parameters and results from the trajectory calculation are used to generate YAML files with APCEMM input parameters and netCDF files with meteorology data used by APCEMM simulations. A separate pair of files is generated for each waypoint processed by APCEMM. Files are saved as
apcemm_waypoint_<i>/input.yaml
andapcemm_waypoint_<i>/input.nc
in the modelcachestore
, where<i>
is replaced by the index of each simulated flight waypoint.A separate APCEMM simulation is run in each run directory inside the model
cachestore
. Simulations are independent and can be run in parallel (controlled by then_jobs
parameter inAPCEMMParams
). Standard output and error streams from each simulation are saved inapcemm_waypoint_<i>/stdout.log
andapcemm_waypoint_<i>/stderr.log
, and APCEMM output is saved in a subdirectory specified by theoutput_directory
model parameter (“out” by default).APCEMM simulation output is postprocessed. After postprocessing:
A
status
column is attached to theFlight
returned byeval()
. This column contains"NoSimulation"
for waypoints where no simulation was run and the contents of the APCEMMstatus_case0
output file for other waypoints.A
pd.DataFrame
is created and stored invortex
. This dataframe contains time series output from the APCEMM “early plume model” of the aircraft exhaust plume and downwash vortex, read fromMicro_000000.out
output files saved by APCEMM.If APCEMM simulated at least one persistent contrail, A
pd.DataFrame
is created and stored incontrail
. This dataframe contains paths to netCDF files, saved at prescribed time intervals during the APCEMM simulation, and can be used to open APCEMM output (e.g., usingxr.open_dataset()
) for further analysis.
Numerics
APCEMM simulations are initialized at flight waypoints and represent the evolution of the cross-section of contrails formed at each waypoint. APCEMM does not explicitly model the length of contrail segments and does not include any representation of deformation by divergent flow. APCEMM output represents properties of cross-sections of contrails formed at flight waypoints, not properties of contrail segments that form between flight waypoints. Unlike
Cocip
, output produced by this interface does not include trailing NaN values.Known limitations
Engine core exit temperature and bypass area are not provided as output by pycontrails aircraft performance models and are currently set to static values in APCEMM input files. These parameters will be computed dynamically in a future release.
APCEMM does not compute contrail radiative forcing internally. Radiative forcing must be computed offline by the user. Tools for radiative forcing calculations may be included in a future version of the interface.
APCEMM currently produces different results in simulations that do not read vertical velocity data from netCDF input files and in simulations that read vertical velocities that are set to 0 everywhere (see https://github.com/MIT-LAE/APCEMM/issues/17). Reading of vertical velocity data from netCDF input files will be disabled in this interface until this issue is resolved.
References
- __init__(met, apcemm_path, apcemm_root=None, apcemm_input_params=None, cachestore=None, params=None, **params_kwargs)¶
Methods
__init__
(met, apcemm_path[, apcemm_root, ...])apcemm_file
(waypoint[, name])Get path to file from an APCEMM simulation initialized at a specific waypoint.
Compute fields required for APCEMM initial conditions and attach to
source
.Calculate Lagrangian trajectories using a
DryAdvection
model.downselect_met
()Downselect
met
domain to the max/min bounds ofsource
.eval
([source])Set up and run APCEMM simulations initialized at flight waypoints.
generate_apcemm_input
(waypoint)Generate APCEMM yaml and netCDF input files for a single waypoint.
get_source_param
(key[, default, set_attr])Get source data with default set by parameter key.
Process APCEMM output.
require_met
()Ensure that
met
is a MetDataset.require_source_type
(type_)Ensure that
source
istype_
.run_apcemm
(waypoints)Run APCEMM over multiple waypoints.
set_source
([source])Attach original or copy of input
source
tosource
.set_source_met
([optional, variable])Ensure or interpolate each required
met_variables
onsource
.transfer_met_source_attrs
([source])Transfer met source metadata from
met
tosource
.update_params
([params])Update model parameters on
params
.Attributes
Path to APCEMM executable
Overridden APCEMM input parameters
CacheStore for APCEMM run directories
Output from trajectory calculation
Time series output from the APCEMM early plume model
Paths to APCEMM netCDF output at prescribed time intervals
Set of
APCEMMInput
attributes set dynamically by this model.hash
Generate a unique hash for model instance.
interp_kwargs
Shortcut to create interpolation arguments from
params
.met
Met data is not optional
Require meteorology is not None on __init__()
Required meteorology pressure level variables.
params
Instantiated model parameters, in dictionary form
source
Last flight processed in
eval()
processed_met_variables
Set of required parameters if processing already complete on
met
input.optional_met_variables
Optional meteorology variables
- apcemm_file(waypoint, name=None)¶
Get path to file from an APCEMM simulation initialized at a specific waypoint.
- Parameters:
- Returns:
str
– Path to a file in the APCEMM simulation root directory, ifname
is provided, or the path to the APCEMM simulation root directory otherwise.
- apcemm_input_params¶
Overridden APCEMM input parameters
- apcemm_path¶
Path to APCEMM executable
- attach_apcemm_initial_conditions()¶
Compute fields required for APCEMM initial conditions and attach to
source
.This modifies
source
by attaching quantities derived from meterology data and aircraft performance calculations.
- cachestore¶
CacheStore for APCEMM run directories
- compute_lagrangian_trajectories()¶
Calculate Lagrangian trajectories using a
DryAdvection
model.Lagrangian trajectories provide the expected time-dependent location (longitude, latitude, and altitude) and orientation (azimuth) of contrails formed by the input source. This information is used to extract time series of meteorological profiles at the contrail location from input meteorology data, and to compute contrail-normal horizontal shear from horizontal winds.
The length of Lagrangian trajectories is set by the
max_age
parameter, and trajectories are integrated using a time step set by thedt_lagrangian
parameter. Contrails are advected both horizontally and vertically, and a fixed sedimentation velocity (set by thesedimentation_rate
parameter) can be included to represent contrail sedimentation.Results of the trajectory calculation are attached to
trajectories
.
- contrail¶
Paths to APCEMM netCDF output at prescribed time intervals
- default_params¶
alias of
APCEMMParams
- property dynamic_yaml_params¶
Set of
APCEMMInput
attributes set dynamically by this model.Other
APCEMMInput
attributes can be set statically by passing parameters inapcemm_input_params
to theAPCEMM
constructor.
- eval(source=None, **params)¶
Set up and run APCEMM simulations initialized at flight waypoints.
Simulates the formation and evolution of contrails from a Flight using the APCEMM plume model described in Fritz et. al. (2020) [Fritz et al., 2020].
- Parameters:
source (
Flight | None
) – Input Flight to model.**params (
Any
) – Overwrite model parameters before eval.
- Returns:
Flight | NoReturn
– Flight with exit status of APCEMM simulations. Detailed APCEMM outputs are attached to modelvortex
andcontrail
attributes (seeAPCEMM
notes for details).
References
- generate_apcemm_input(waypoint)¶
Generate APCEMM yaml and netCDF input files for a single waypoint.
For details about generated input files, see
APCEMM
notes.- Parameters:
waypoint (
int
) – Waypoint for which to generate input files.
- long_name = 'Interface to APCEMM plume model'¶
- met_required = True¶
Require meteorology is not None on __init__()
- met_variables = (MetVariable(short_name='t', standard_name='air_temperature', long_name='Air Temperature', level_type='isobaricInhPa', ecmwf_id=130, grib1_id=11, grib2_id=(0, 0, 0), units='K', amip='ta', description='Air temperature is the bulk temperature of the air, not the surface (skin) temperature.'), MetVariable(short_name='q', standard_name='specific_humidity', long_name='Specific Humidity', level_type='isobaricInhPa', ecmwf_id=133, grib1_id=51, grib2_id=(0, 1, 0), units='kg kg**-1', amip='hus', description='Specific means per unit mass. Specific humidity is the mass fraction of water vapor in (moist) air.'), (MetVariable(short_name='z', standard_name='geopotential', long_name='Geopotential', level_type='isobaricInhPa', ecmwf_id=129, grib1_id=6, grib2_id=(0, 3, 4), units='m**2 s**-2', amip=None, description='Geopotential is the sum of the specific gravitational potential energy relative to the geoid and the specific centripetal potential energy.'), MetVariable(short_name='gh', standard_name='geopotential_height', long_name='Geopotential Height', level_type='isobaricInhPa', ecmwf_id=156, grib1_id=7, grib2_id=(0, 3, 5), units='m', amip='zg', description='Geopotential is the sum of the specific gravitational potential energy relative to the geoid and the specific centripetal potential energy. Geopotential height is the geopotential divided by the standard acceleration due to gravity. It is numerically similar to the altitude (or geometric height) and not to the quantity with standard name height, which is relative to the surface.')), MetVariable(short_name='u', standard_name='eastward_wind', long_name='Eastward Wind', level_type='isobaricInhPa', ecmwf_id=131, grib1_id=33, grib2_id=(0, 2, 2), units='m s**-1', amip='ua', description='"Eastward" indicates a vector component which is positive when directed eastward (negative westward). Wind is defined as a two-dimensional (horizontal) air velocity vector, with no vertical component.'), MetVariable(short_name='v', standard_name='northward_wind', long_name='Northward Wind', level_type='isobaricInhPa', ecmwf_id=132, grib1_id=34, grib2_id=(0, 2, 3), units='m s**-1', amip='va', description='"Northward" indicates a vector component which is positive when directed northward (negative southward). Wind is defined as a two-dimensional (horizontal) air velocity vector, with no vertical component.'), MetVariable(short_name='w', standard_name='lagrangian_tendency_of_air_pressure', long_name='Vertical Velocity (omega)', level_type='isobaricInhPa', ecmwf_id=135, grib1_id=39, grib2_id=(0, 2, 8), units='Pa s**-1', amip='wap', description='The Lagrangian tendency of air pressure, often called "omega", plays the role of the upward component of air velocity when air pressure is being used as the vertical coordinate. If the vertical air velocity is upwards, it is negative when expressed as a tendency of air pressure; downwards is positive. Air pressure is the force per unit area which would be exerted when the moving gas molecules of which the air is composed strike a theoretical surface of any orientation.'))¶
Required meteorology pressure level variables. Each element in the list is a
MetVariable
or atuple[MetVariable]
. If element is atuple[MetVariable]
, the variable depends on the data source. Only one variable in the tuple is required.
- name = 'apcemm'¶
- process_apcemm_output()¶
Process APCEMM output.
After processing, a
status
column will be attached tosource
, and additional output data will be attached tovortex
andcontrail
. For details about contents of APCEMM output files, seeAPCEMM
notes.
- run_apcemm(waypoints)¶
Run APCEMM over multiple waypoints.
Multiple waypoints will be processed in parallel if the
APCEMM
n_jobs
parameter is set to a value larger than 1.- Parameters:
waypoints (
list[int]
) – List of waypoints at which to initialize simulations.
- trajectories¶
Output from trajectory calculation
- vortex¶
Time series output from the APCEMM early plume model