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A full implementation of the ICAO standard atmosphere 1993

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Ambiance

Ambiance is a full implementation of the ICAO standard atmosphere 1993 written in Python.

Usage

Atmospheric properties are computed from an Atmosphere object which takes the altitude (geometric height) as input. For instance, to simply retrieve sea level properties, you can write:

>>> from ambiance import Atmosphere
>>> sealevel = Atmosphere(0)

>>> sealevel.temperature
array([288.15])

>>> sealevel.pressure
array([101325.])

>>> sealevel.kinematic_viscosity
array([1.46071857e-05])

List of available atmospheric properties

  • Collision frequency (collision_frequency)
  • Density (density)
  • Dynamic viscosity (dynamic_viscosity)
  • Geometric height above MSL (h)
  • Geopotential height (H)
  • Gravitational acceleration (grav_accel)
  • Kinematic viscosity (kinematic_viscosity)
  • Layer names (layer_name) [string array]
  • Mean free path (mean_free_path)
  • Mean particle speed (mean_particle_speed)
  • Number density (number_density)
  • Pressure (pressure)
  • Pressure scale height (pressure_scale_height)
  • Specific weight (specific_weight)
  • Speed of sound (speed_of_sound)
  • Temperature (temperature, temperature_in_celsius)
  • Thermal conductivity (thermal_conductivity)

List-like input

Ambiance also handles list-like input (list, tuples, Numpy arrays). The following code demonstrates how to produce a temperature plot with Matplotlib. In the example, Numpy’s linspace() function is used to produce an array with altitudes.

import numpy as np
import matplotlib.pyplot as plt
from ambiance import Atmosphere

# Make an atmosphere object
heights = np.linspace(-5e3, 80e3, num=1000)
atmosphere = Atmosphere(heights)

# Make plot
plt.plot(atmosphere.temperature_in_celsius, heights/1000)
plt.ylabel('Height [km]')
plt.xlabel('Temperature [°C]')
plt.grid()
plt.show()

The output is

Temperature plot

Matrix-like input

Similarly, you can also pass in entire matrices. Example:

>>> import numpy as np
>>> from ambiance import Atmosphere

>>> h = np.array([[0, 11, 12], [20, 21, 35], [0, 80, 50]])*1000
>>> h  # Geometric heights in metres
array([[    0, 11000, 12000],
       [20000, 21000, 35000],
       [    0, 80000, 50000]])

>>> Atmosphere(h).temperature
array([[288.15      , 216.7735127 , 216.65      ],
       [216.65      , 217.58085353, 236.51337209],
       [288.15      , 198.63857625, 270.65      ]])

>>> Atmosphere(h).speed_of_sound
array([[340.29398803, 295.15359145, 295.06949351],
       [295.06949351, 295.70270856, 308.29949587],
       [340.29398803, 282.53793156, 329.798731  ]])

>>> Atmosphere([30000, 0]).layer_name
array(['stratosphere', 'troposphere'], dtype='<U42')

Instantiating from given pressure or density

An Atmosphere object can also be instantiated from given ambient pressure or density.

>>> Atmosphere.from_pressure([80e3, 20e3])  # 80 kPa and 20 kPa
Atmosphere(array([ 1949.58557497, 11805.91571135]))

>>> Atmosphere.from_pressure([80e3, 20e3]).pressure
array([80000., 20000.])

>>> Atmosphere.from_density(1.0)  # 1.0 kg/m^3
Atmosphere(array([2064.96635895]))

For a comprehensive and more detailed user guide, see the complete documentation.

Installation

Ambiance is available on PyPI and may simply be installed with

pip install ambiance

Requirements

Using Ambiance requires

  • Python 3.6 or higher
  • NumPy
  • SciPy

For developers: Recommended packages may be installed with the requirements.txt.

pip install -r requirements.txt

License

License: Apache-2.0

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