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Merge pull request #17 from AlexS12/isa
Add 1984 ISA 1976 Standard atmosphere with tests
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# coding: utf-8 | ||
"""ISA functions. Implementation based on: | ||
.. [1] U.S. Standard Atmosphere, 1976, U.S. Government Printing Office, | ||
Washington, D.C., 1976 | ||
From: https://en.wikipedia.org/wiki/U.S._Standard_Atmosphere | ||
Geopotential | ||
altitude Static Standard Temperature | ||
Subscript above MSL Pressure Temperature Lapse Rate | ||
------------------------------------------------------------- | ||
(m) (pascals) (K) (K/m) | ||
0 0 101325 288.15 -0.0065 | ||
1 11000 22632.1 216.65 0 | ||
2 20000 5474.89 216.65 0.001 | ||
3 32000 868.019 228.65 0.0028 | ||
4 47000 110.906 270.65 0 | ||
5 51000 66.9389 270.65 -0.0028 | ||
6 71000 3.95642 214.65 -0.002 | ||
""" | ||
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from math import exp | ||
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# Constants | ||
R_a = 287.05287 # J/(Kg·K) | ||
g0 = 9.80665 # m/s^2 | ||
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# Layer constants | ||
h0 = (0, 11000, 20000, 32000, 47000, 51000, 71000, 84500) # m | ||
T0_layers = (288.15, 216.65, 216.65, 228.65, 270.65, 270.65, 214.65) # K | ||
p0_layers = (101325.0, 22632.1, 5474.89, 868.019, 110.906, 66.9389, 3.95642) # Pa | ||
alpha_layers = (-0.0065, 0, 0.001, 0.0028, 0, -0.0028, -0.002) # K / m | ||
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def atm(h): | ||
"""ISA 1976 Standard atmosphere temperature, pressure and density. | ||
Parameters | ||
---------- | ||
h : float | ||
Geopotential altitude (m). h values must range from 0 to 84500 m. | ||
Returns | ||
------- | ||
T : float | ||
Temperature (K). | ||
p : float | ||
Pressure (Pa). | ||
rho : float | ||
Density (kg/m³) | ||
Raises | ||
------ | ||
ValueError | ||
If the value of the altitude is outside the defined layers. | ||
Notes | ||
----- | ||
Check layers and reference values in [2]. | ||
References | ||
---------- | ||
.. [1] U.S. Standard Atmosphere, 1976, U.S. Government Printing Office, | ||
Washington, D.C., 1976 | ||
.. [2] https://en.wikipedia.org/wiki/U.S._Standard_Atmosphere | ||
""" | ||
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if h < 0.0: | ||
raise ValueError("Altitude cannot be less than 0 m.") | ||
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elif h0[0] <= h < h0[1]: # Troposphere | ||
T0 = T0_layers[0] | ||
p0 = p0_layers[0] | ||
alpha = alpha_layers[0] | ||
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T = T0 + alpha * h | ||
p = p0 * (T0 / (T0 + alpha * h)) ** (g0 / (R_a * alpha)) | ||
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elif h0[1] <= h < h0[2]: # Tropopause | ||
T0 = T0_layers[1] | ||
p0 = p0_layers[1] | ||
alpha = alpha_layers[1] | ||
h_diff = h - h0[1] | ||
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T = T0 | ||
p = p0 * exp(-g0 * h_diff / (R_a * T0)) | ||
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elif h0[2] <= h < h0[3]: # Stratosphere 1 | ||
T0 = T0_layers[2] | ||
p0 = p0_layers[2] | ||
alpha = alpha_layers[2] | ||
h_diff = h - h0[2] | ||
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T = T0 + alpha * h_diff | ||
p = p0 * (T0 / (T0 + alpha * h_diff)) ** (g0 / (R_a * alpha)) | ||
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elif h0[3] <= h < h0[4]: # Stratosphere 2 | ||
T0 = T0_layers[3] | ||
p0 = p0_layers[3] | ||
alpha = alpha_layers[3] | ||
h_diff = h - h0[3] | ||
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T = T0 + alpha * h_diff | ||
p = p0 * (T0 / (T0 + alpha * h_diff)) ** (g0 / (R_a * alpha)) | ||
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elif h0[4] <= h < h0[5]: # Stratopause | ||
T0 = T0_layers[4] | ||
p0 = p0_layers[4] | ||
alpha = alpha_layers[4] | ||
h_diff = h - h0[4] | ||
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T = T0 | ||
p = p0 * exp(-g0 * h_diff / (R_a * T0)) | ||
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elif h0[5] <= h < h0[6]: # Mesosphere 1 | ||
T0 = T0_layers[5] | ||
p0 = p0_layers[5] | ||
alpha = alpha_layers[5] | ||
h_diff = h - h0[5] | ||
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T = T0 + alpha * h_diff | ||
p = p0 * (T0 / (T0 + alpha * h_diff)) ** (g0 / (R_a * alpha)) | ||
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elif h0[6] <= h <= h0[7]: # Mesosphere 2 | ||
T0 = T0_layers[6] | ||
p0 = p0_layers[6] | ||
alpha = alpha_layers[6] | ||
h_diff = h - h0[6] | ||
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T = T0 + alpha * h_diff | ||
p = p0 * (T0 / (T0 + alpha * h_diff)) ** (g0 / (R_a * alpha)) | ||
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else: | ||
raise ValueError("Altitude cannot be greater than {} m.".format(h0[7])) | ||
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rho = p / (R_a * T) | ||
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return T, p, rho |
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# coding: utf-8 | ||
"""Tests of the ISA functions. | ||
All numerical results are validated against the `COESA`_ standard. | ||
.. _`COESA`: http://hdl.handle.net/2060/19770009539 | ||
Based on scikit-aero (c) 2012 scikit-aero authors. | ||
""" | ||
import numpy as np | ||
from numpy.testing import (assert_equal, assert_almost_equal) | ||
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import pytest | ||
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from pyfme.environment.isa import atm | ||
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def test_sea_level(): | ||
h = 0.0 # m | ||
expected_T = 288.15 # K | ||
expected_p = 101325.0 # Pa | ||
expected_rho = 1.2250 # kg / m3 | ||
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T, p, rho = atm(h) | ||
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# Reads: "Assert if T equals expected_T" | ||
assert_equal(T, expected_T) | ||
assert_equal(p, expected_p) | ||
assert_almost_equal(rho, expected_rho, decimal=4) | ||
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def test_altitude_is_out_of_range(recwarn): | ||
wrong_h = (-1.0, 84501) # m | ||
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for h in wrong_h: | ||
with pytest.raises(ValueError): | ||
atm(h) | ||
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def test_results_under_11km(): | ||
h = np.array([0.0, | ||
50.0, | ||
550.0, | ||
6500.0, | ||
10000.0, | ||
11000.0 | ||
]) # m | ||
expected_T = np.array([288.150, | ||
287.825, | ||
284.575, | ||
245.900, | ||
223.150, | ||
216.650 | ||
]) # K | ||
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expected_rho = np.array([1.2250, | ||
1.2191, | ||
1.1616, | ||
0.62384, | ||
0.41271, | ||
0.36392 | ||
]) # kg / m3 | ||
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for ii, h_ in enumerate(h): | ||
T, p, rho = atm(h_) | ||
assert_almost_equal(T, expected_T[ii], decimal=3) | ||
assert_almost_equal(rho, expected_rho[ii], decimal=4) | ||
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def test_results_under_20km(): | ||
h = np.array([12000, | ||
14200, | ||
17500, | ||
20000 | ||
]) # m | ||
expected_T = np.array([216.650, | ||
216.650, | ||
216.650, | ||
216.650, | ||
]) # K | ||
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expected_rho = np.array([0.31083, | ||
0.21971, | ||
0.13058, | ||
0.088035 | ||
]) # kg / m3 | ||
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for ii, h_ in enumerate(h): | ||
T, p, rho = atm(h_) | ||
assert_almost_equal(T, expected_T[ii], decimal=3) | ||
assert_almost_equal(rho, expected_rho[ii], decimal=4) | ||
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def test_results_under_32km(): | ||
h = np.array([22100, | ||
24000, | ||
28800, | ||
32000 | ||
]) # m | ||
expected_T = np.array([218.750, | ||
220.650, | ||
225.450, | ||
228.650 | ||
]) # K | ||
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expected_rho = np.array([0.062711, | ||
0.046267, | ||
0.021708, | ||
0.013225 | ||
]) # kg / m3 | ||
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for ii, h_ in enumerate(h): | ||
T, p, rho = atm(h_) | ||
assert_almost_equal(T, expected_T[ii], decimal=3) | ||
assert_almost_equal(rho, expected_rho[ii], decimal=4) | ||
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def test_results_under_47km(): | ||
h = np.array([32200, | ||
36000, | ||
42000, | ||
47000 | ||
]) # m | ||
expected_T = np.array([229.210, | ||
239.850, | ||
256.650, | ||
270.650 | ||
]) # K | ||
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expected_rho = np.array([0.012805, | ||
0.0070344, | ||
0.0028780, | ||
0.0014275 | ||
]) # kg / m3 | ||
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for ii, h_ in enumerate(h): | ||
T, p, rho = atm(h_) | ||
assert_almost_equal(T, expected_T[ii], decimal=3) | ||
assert_almost_equal(rho, expected_rho[ii], decimal=4) | ||
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def test_results_under_51km(): | ||
h = np.array([47200, | ||
49000, | ||
51000 | ||
]) # m | ||
expected_T = np.array([270.650, | ||
270.650, | ||
270.650 | ||
]) # K | ||
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expected_rho = np.array([0.0013919, | ||
0.0011090, | ||
0.00086160 | ||
]) # kg / m3 | ||
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for ii, h_ in enumerate(h): | ||
T, p, rho = atm(h_) | ||
assert_almost_equal(T, expected_T[ii], decimal=3) | ||
assert_almost_equal(rho, expected_rho[ii], decimal=4) | ||
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def test_results_under_71km(): | ||
h = np.array([51500, | ||
60000, | ||
71000 | ||
]) # m | ||
expected_T = np.array([269.250, | ||
245.450, | ||
214.650 | ||
]) # K | ||
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expected_rho = np.array([0.00081298, | ||
2.8832e-4, | ||
6.4211e-5 | ||
]) # kg / m3 | ||
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for ii, h_ in enumerate(h): | ||
T, p, rho = atm(h_) | ||
assert_almost_equal(T, expected_T[ii], decimal=3) | ||
assert_almost_equal(rho, expected_rho[ii], decimal=4) | ||
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def test_results_under_84km(): | ||
h = np.array([52000, | ||
60000, | ||
84500 | ||
]) # m | ||
expected_T = np.array([267.850, | ||
245.450, | ||
187.650 | ||
]) # K | ||
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expected_rho = np.array([7.6687e-4, | ||
2.8832e-4, | ||
7.3914e-6 | ||
]) # kg / m3 | ||
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for ii, h_ in enumerate(h): | ||
T, p, rho = atm(h_) | ||
assert_almost_equal(T, expected_T[ii], decimal=3) | ||
assert_almost_equal(rho, expected_rho[ii], decimal=4) |