Source code for pytcl.atmosphere.models

"""
Atmospheric models for tracking applications.

This module provides standard atmosphere models used for computing
temperature, pressure, and density at various altitudes.
"""

from typing import NamedTuple, Tuple

import numpy as np
from numpy.typing import ArrayLike, NDArray


[docs] class AtmosphereState(NamedTuple): """ Atmospheric state at a given altitude. Attributes ---------- temperature : float or ndarray Temperature in Kelvin. pressure : float or ndarray Pressure in Pascals. density : float or ndarray Density in kg/m³. speed_of_sound : float or ndarray Speed of sound in m/s. """ temperature: float | NDArray[np.float64] pressure: float | NDArray[np.float64] density: float | NDArray[np.float64] speed_of_sound: float | NDArray[np.float64]
# US Standard Atmosphere 1976 constants # Sea level conditions T0 = 288.15 # Temperature at sea level (K) P0 = 101325.0 # Pressure at sea level (Pa) RHO0 = 1.225 # Density at sea level (kg/m³) G0 = 9.80665 # Standard gravity (m/s²) R = 287.05287 # Specific gas constant for air (J/(kg·K)) GAMMA = 1.4 # Ratio of specific heats for air # Layer boundaries and lapse rates (altitude in m, lapse rate in K/m) # Layer: (base altitude, base temperature, lapse rate) US76_LAYERS = [ (0, 288.15, -0.0065), # Troposphere (11000, 216.65, 0.0), # Tropopause (20000, 216.65, 0.001), # Stratosphere 1 (32000, 228.65, 0.0028), # Stratosphere 2 (47000, 270.65, 0.0), # Stratopause (51000, 270.65, -0.0028), # Mesosphere 1 (71000, 214.65, -0.002), # Mesosphere 2 (84852, 186.95, 0.0), # Mesopause (end of model) ] def _get_layer(altitude: float) -> Tuple[int, float, float, float]: """Get layer parameters for given altitude.""" for i, (h, T, L) in enumerate(US76_LAYERS): if i == len(US76_LAYERS) - 1: return i, h, T, L if altitude < US76_LAYERS[i + 1][0]: return i, h, T, L return len(US76_LAYERS) - 1, *US76_LAYERS[-1]
[docs] def us_standard_atmosphere_1976( altitude: ArrayLike, ) -> AtmosphereState: """ Compute atmospheric properties using US Standard Atmosphere 1976. Parameters ---------- altitude : array_like Geometric altitude in meters. Valid from 0 to ~86 km. Returns ------- state : AtmosphereState Atmospheric state containing temperature, pressure, density, and speed of sound. Examples -------- >>> state = us_standard_atmosphere_1976(10000) >>> state.temperature 223.25... >>> state.pressure 26499.9... Notes ----- The US Standard Atmosphere 1976 is a model of the Earth's atmosphere that defines temperature, pressure, and density as functions of altitude. It is valid from sea level to approximately 86 km altitude. References ---------- .. [1] U.S. Standard Atmosphere, 1976, U.S. Government Printing Office, Washington, D.C., 1976. """ altitude = np.asarray(altitude, dtype=np.float64) scalar_input = altitude.ndim == 0 altitude = np.atleast_1d(altitude) temperature = np.zeros_like(altitude) pressure = np.zeros_like(altitude) # Process each altitude point for i, h in enumerate(altitude): # Clamp altitude to valid range h = np.clip(h, 0, 84852) # Find which layer we're in layer_idx, h_base, T_base, L = _get_layer(h) # Calculate pressure at base of current layer P_base = P0 for j in range(layer_idx): h_j, T_j, L_j = US76_LAYERS[j] h_next = US76_LAYERS[j + 1][0] dh = h_next - h_j if L_j != 0: # Gradient layer P_base *= (T_j / (T_j + L_j * dh)) ** (G0 / (R * L_j)) else: # Isothermal layer P_base *= np.exp(-G0 * dh / (R * T_j)) # Calculate temperature and pressure at altitude h dh = h - h_base if L != 0: # Gradient layer temperature[i] = T_base + L * dh pressure[i] = P_base * (T_base / temperature[i]) ** (G0 / (R * L)) else: # Isothermal layer temperature[i] = T_base pressure[i] = P_base * np.exp(-G0 * dh / (R * T_base)) # Calculate derived quantities density = pressure / (R * temperature) speed_of_sound = np.sqrt(GAMMA * R * temperature) if scalar_input: return AtmosphereState( temperature=float(temperature[0]), pressure=float(pressure[0]), density=float(density[0]), speed_of_sound=float(speed_of_sound[0]), ) return AtmosphereState( temperature=temperature, pressure=pressure, density=density, speed_of_sound=speed_of_sound, )
[docs] def isa_atmosphere( altitude: ArrayLike, temperature_offset: float = 0.0, ) -> AtmosphereState: """ Compute atmospheric properties using International Standard Atmosphere (ISA). This is essentially the troposphere portion of US Standard Atmosphere 1976 with an optional temperature offset for non-standard days. Parameters ---------- altitude : array_like Geometric altitude in meters. temperature_offset : float, optional Temperature offset from ISA conditions in Kelvin (default: 0). Positive values indicate warmer than standard day. Returns ------- state : AtmosphereState Atmospheric state. Examples -------- >>> # Standard day at 5000m >>> state = isa_atmosphere(5000) >>> # Hot day (+15K) at 5000m >>> state = isa_atmosphere(5000, temperature_offset=15) """ altitude = np.asarray(altitude, dtype=np.float64) scalar_input = altitude.ndim == 0 altitude = np.atleast_1d(altitude) # Simple ISA model (troposphere + stratosphere) L = -0.0065 # Lapse rate in troposphere (K/m) h_trop = 11000 # Tropopause altitude (m) T_trop = T0 + L * h_trop # Temperature at tropopause temperature = np.zeros_like(altitude) pressure = np.zeros_like(altitude) # Troposphere trop_mask = altitude <= h_trop temperature[trop_mask] = T0 + L * altitude[trop_mask] + temperature_offset # Barometric formula for gradient layer: P = P0 * (T0/T)^(g0/(R*L)) # Since L is negative, g0/(R*L) is negative, so (T0/T)^negative = (T/T0)^positive pressure[trop_mask] = P0 * ((T0 + temperature_offset) / temperature[trop_mask]) ** ( G0 / (R * L) ) # Stratosphere (isothermal) strat_mask = altitude > h_trop temperature[strat_mask] = T_trop + temperature_offset # Pressure at tropopause P_trop = P0 * ((T0 + temperature_offset) / (T_trop + temperature_offset)) ** ( G0 / (R * L) ) pressure[strat_mask] = P_trop * np.exp( -G0 * (altitude[strat_mask] - h_trop) / (R * (T_trop + temperature_offset)) ) density = pressure / (R * temperature) speed_of_sound = np.sqrt(GAMMA * R * temperature) if scalar_input: return AtmosphereState( temperature=float(temperature[0]), pressure=float(pressure[0]), density=float(density[0]), speed_of_sound=float(speed_of_sound[0]), ) return AtmosphereState( temperature=temperature, pressure=pressure, density=density, speed_of_sound=speed_of_sound, )
[docs] def altitude_from_pressure( pressure: ArrayLike, ) -> NDArray[np.float64]: """ Compute geometric altitude from pressure (pressure altitude). Parameters ---------- pressure : array_like Atmospheric pressure in Pascals. Returns ------- altitude : ndarray Geometric altitude in meters. Examples -------- >>> # Sea level pressure >>> altitude_from_pressure(101325) 0.0 >>> # Pressure at approximately 5000m >>> alt = altitude_from_pressure(54000) >>> 4800 < alt < 5200 True Notes ----- This is an approximate inversion of the ISA model, valid primarily in the troposphere. """ pressure = np.asarray(pressure, dtype=np.float64) L = -0.0065 # Lapse rate exponent = R * L / G0 altitude = (T0 / L) * (1 - (pressure / P0) ** exponent) return altitude
[docs] def mach_number( velocity: ArrayLike, altitude: ArrayLike, ) -> NDArray[np.float64]: """ Compute Mach number from velocity and altitude. Parameters ---------- velocity : array_like True airspeed in m/s. altitude : array_like Geometric altitude in meters. Returns ------- mach : ndarray Mach number. Examples -------- >>> # Aircraft at 300 m/s at sea level >>> mach_number(300, 0) # doctest: +ELLIPSIS 0.88... >>> # Same speed at 10 km altitude (lower speed of sound) >>> mach_number(300, 10000) # doctest: +ELLIPSIS 1.00... """ velocity = np.asarray(velocity, dtype=np.float64) altitude = np.asarray(altitude, dtype=np.float64) state = us_standard_atmosphere_1976(altitude) return velocity / np.asarray(state.speed_of_sound)
[docs] def true_airspeed_from_mach( mach: ArrayLike, altitude: ArrayLike, ) -> NDArray[np.float64]: """ Compute true airspeed from Mach number and altitude. Parameters ---------- mach : array_like Mach number. altitude : array_like Geometric altitude in meters. Returns ------- velocity : ndarray True airspeed in m/s. Examples -------- >>> # Mach 0.8 at cruise altitude (10 km) >>> tas = true_airspeed_from_mach(0.8, 10000) >>> 230 < tas < 250 # approximately 240 m/s True >>> # Supersonic at sea level >>> true_airspeed_from_mach(1.0, 0) # doctest: +ELLIPSIS 340.2... """ mach = np.asarray(mach, dtype=np.float64) altitude = np.asarray(altitude, dtype=np.float64) state = us_standard_atmosphere_1976(altitude) return mach * np.asarray(state.speed_of_sound)
__all__ = [ "AtmosphereState", "us_standard_atmosphere_1976", "isa_atmosphere", "altitude_from_pressure", "mach_number", "true_airspeed_from_mach", # Constants "T0", "P0", "RHO0", "G0", "R", "GAMMA", ]