API Reference

Data

Meteorology

MetDataset(data[, cachestore, ...])	Meteorological dataset with multiple variables.
MetDataArray(data[, cachestore, ...])	Meteorological DataArray of single variable.

Vector Data

VectorDataset([data, attrs, copy])	Base class to hold 1D arrays of consistent size.
GeoVectorDataset([data, longitude, ...])	Base class to hold 1D geospatial arrays of consistent size.

Flight & Aircraft

Flight([data, longitude, latitude, ...])	A single flight trajectory.
Fleet([data, longitude, latitude, altitude, ...])	Data structure for holding a sequence of Flight instances.
FlightPhase(value[, names, module, ...])	Flight phase enumeration.
Fuel(fuel_name, q_fuel, hydrogen_content, ...)	Base class for the physical parameters of the fuel.
JetA([fuel_name, q_fuel, hydrogen_content, ...])	Jet A-1 Fuel.
SAFBlend(pct_blend)	Jet A-1 / Sustainable Aviation Fuel Blend.
HydrogenFuel([fuel_name, q_fuel, ...])	Hydrogen Fuel.

Datalib

ECMWF

datalib.ecmwf.ERA5(time, variables[, ...])	Class to support ERA5 data access, download, and organization.
datalib.ecmwf.era5_model_level	Model-level ERA5 data access.
datalib.ecmwf.HRES(time, variables[, ...])	Class to support HRES data access, download, and organization.
datalib.ecmwf.hres_model_level	Model-level HRES data access from the ECMWF operational archive.
datalib.ecmwf.hres.get_forecast_filename(...)	Create forecast filename from ECMWF dissemination products.
datalib.ecmwf.model_levels	Utilities for working with ECMWF model-level data.
datalib.ecmwf.IFS(time, variables[, ...])	ECMWF Integrated Forecasting System (IFS) data source.
datalib.ecmwf.variables	ECMWF Parameter Support.

GFS

datalib.gfs.GFSForecast(time, variables[, ...])	GFS Forecast data access.
datalib.gfs.variables	GFS Parameter Support.

ARCO ERA5

datalib.ecmwf.arco_era5

GOES

datalib.goes

Support for GOES access and analysis.

Low Earth Orbit Satellites

datalib.landsat	Support for LANDSAT 8-9 imagery retrieval through Google Cloud Platform.
datalib.sentinel	Support for Sentinel-2 imagery retrieval through Google Cloud Platform.

Models

Base Classes

Model([met, params])	Base class for physical models.
ModelParams([copy_source, ...])	Class for constructing model parameters.

SAC, ISSR & PCC

models.issr	Ice super-saturated regions (ISSR).
models.sac	Schmidt-Appleman criteria (SAC).
models.pcr	Persistent contrail regions (PCR = SAC & ISSR).
models.pcc	Probability of persistent contrail coverage (PCC).

CoCiP

models.cocip.Cocip(met, rad[, params])	Contrail Cirrus Prediction Model (CoCiP).
models.cocip.CocipParams([copy_source, ...])	Model parameters required by the CoCiP models.
models.cocip.CocipFlightParams([...])	Flight specific CoCiP parameters.
models.cocip.contrail_properties	Contrail Property Calculations.
models.cocip.radiative_forcing	Module for calculating radiative forcing of contrail cirrus.
models.cocip.wake_vortex	Wave-vortex downwash functions.
models.cocip.wind_shear	Wind shear functions.

Gridded CoCiP

models.cocipgrid.CocipGrid(met, rad[, params])	Run CoCiP simulation on a grid.
models.cocipgrid.CocipGridParams([...])	Default parameters for CocipGrid.

Dry Advection

models.dry_advection.DryAdvection([met, params])	Simulate "dry advection" of an emissions plume with an elliptical cross section.
models.dry_advection.DryAdvectionParams([...])	Parameters for the DryAdvection model.

ACCF

This model is an interface over the DLR / UMadrid climaccf package. See ACCF for more information.

models.accf.ACCF(met[, surface, params])	Compute Algorithmic Climate Change Functions (ACCF).
models.accf.ACCFParams([copy_source, ...])	Default ACCF model parameters.

APCEMM

This model is an interface to the MIT APCEMM plume model.

models.apcemm.APCEMM(met, apcemm_path[, ...])	Run APCEMM as a pycontrails Model.
models.apcemm.APCEMMParams([copy_source, ...])	Default parameters for the pycontrails APCEMM interface.

Aircraft Performance

core.aircraft_performance	Abstract interfaces for aircraft performance models.
models.ps_model.PSFlightParams([...])	Default parameters for PSFlight.
models.ps_model.PSFlight([met, params])	Simulate aircraft performance using Poll-Schumann (PS) model.
models.ps_model.PSGrid([met, params])	Compute nominal Poll-Schumann aircraft performance over a grid.
models.ps_model.PSAircraftEngineParams(...)	Store extracted aircraft and engine parameters for each aircraft type.
models.ps_model.ps_nominal_grid(aircraft_type, *)	Calculate the nominal performance grid for a given aircraft type.

Emissions

models.emissions.Emissions([met, params])	Emissions handling using ICAO Emissions Databank (EDB) and black carbon correlations.
models.emissions.black_carbon	Non-volatile particulate matter (nvPM) calculations.
models.emissions.ffm2	Calculate nitrogen oxide (NOx), carbon monoxide (CO) and hydrocarbon (HC) emissions.

Cirrus Optical Depth (\(\tau_{cirrus}\))

models.tau_cirrus

Calculate tau cirrus on Met data.

Humidity Scaling

models.humidity_scaling

Humidity scaling methodologies.

Physics

physics.constants	Meteorological, thermophysical, and aircraft constants.
physics.thermo	Thermodynamic relationships.
physics.jet	Jet aircraft trajectory and performance parameters.
physics.geo	Tools for spherical geometry, solar radiation, and wind advection.
physics.units	Unit conversion support.

Cache

DiskCacheStore([cache_dir, allow_clear])	Cache that uses a folder on the local filesystem.
GCPCacheStore([cache_dir, project, bucket, ...])	Google Cloud Platform (Storage) Cache.

Core

core.airports	Airport data support.
core.cache	Pycontrails Caching Support.
core.coordinates	Coordinates utilities.
core.fleet	A single data structure encompassing a sequence of Flight instances.
core.flight	Flight Data Handling.
core.fuel	Fuel data support.
core.interpolation	Interpolation utilities.
core.met	Meteorology data models.
core.met_var	Module containing core met variables.
core.models	Physical model data structures.
core.polygon	Algorithm support for grid to polygon conversion.
core.vector	Lightweight data structures for vector paths.

Utilities

utils.types	Convienence types.
utils.iteration	Utilites for iterating of sequences.
utils.temp	Temp utilities.
utils.json	JSON utilities.

Extensions

BADA

Requires pycontrails-bada extension and data files obtained through BADA license. See BADA Extension for more information.

ext.bada.bada_model	BADA models along flight and on a regular grid.
ext.bada.BADAFlight([met, params])	Compute aircraft properties and fuel consumption.
ext.bada.BADAFlightParams([...])	BADAFlight model parameters.
ext.bada.BADAGrid([met, params])	Compute nominal BADA values for a large grid of independent points.
ext.bada.BADAGridParams([...])	BADAGrid model parameters.
ext.bada.BADA3([bada_path])	BADA 3.15 and 3.16 Support.
ext.bada.BADA4([bada_path])	BADA 4.2 Support.