Atmosphere Layers Simulator Back
大気科学

Atmosphere Layers Simulator

Compute pressure, temperature, density, and speed of sound at any altitude using the International Standard Atmosphere (ISA) model. Compare troposphere, stratosphere, mesosphere, and thermosphere on interactive charts.

高度設定

対流圏(0〜11 km)
気圧
hPa
Temperature
— °C
Density ρ
— kg/m³
Speed of Sound a
— m/s
Surface Ratio (Pressure)
— %
Kinematic Viscosity ν
— m²/s
Mean Free Path
— nm
Temp
Theory & Key Formulas
対流圏(0〜11 km):
$T = 288.15 - 6.5h$ [K]
$p = 101325 \left(\frac{T}{288.15}\right)^{5.256}$ [Pa]

成層圏等温層(11〜20 km):
$T = 216.65$ K, $p = p_{11}e^{-g(h-h_{11})/(RT)}$

$\rho = p/(RT)$, $a = \sqrt{\gamma RT}$

🎓 Learn the Structure of the Atmosphere Through Conversation

🙋
山に登ると寒くなよね。高度が高いほど太陽に近い に、なぜ寒くなるんか?太陽from 近い方が暖かいはずじゃないんか?
🎓
面白い疑問だ。太陽と地球 距離は1億5千万kmで、山 高さは最大でも8.8km。山 高さは太陽と 距離に対してほぼ無視できる程度しか変わらない。大気が暖まる は主に「地表from 放射された赤外線を大気が吸収する」from 。高度が上がるほど地表from 遠くなり、大気密度も下がって吸収量が減る。だfrom 対流圏は下が暖かい。
🙋
でも成層圏では逆に高くなるほどTemperatureが上がるって言いましたよね。それはオゾン層 せいか?具体的にはどんなメカニズムか?
🎓
そう。オゾン(O₃)は高Energy 紫外線(UV-B: 280〜315nm, UV-C: 100〜280nm)を直接吸収して熱に変える。こ 吸収層が約15〜35kmに集中している で、そ 高度ではTemperatureが上昇する。成層圏頂部(約50km) 気温は−3℃程度to 戻る。オゾン層が加熱源になることで成層圏は「暖かい蓋」になり、対流圏 水蒸気・雲が上に抜けにくくなる。
🙋
旅客機は高度10〜12kmを飛ぶと ことが、そこって成層圏よね。なんでそんな高いところを飛ぶんか?
🎓
主に燃費 ため。大気密度が低いと空気抵抗が減る。高度10km 密度は地表 約25%。摩擦力は密度に比例する で抵抗が大幅に減る。一方、揚力も密度に比例して減る でVelocityを上げる必要があるが、それでも総合的に燃費が良い。また成層圏は乱気流が少なく飛行がStableする。JetEngineは低温(−50°C付近)で熱効率が向上するメリットもある。
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CAE 分野でこ 大気Modelはどんな使われ方をするんか?
🎓
航空・宇宙CFDで必須だよ。航空機 空力解析では高度ごと ISA気圧・気温・密度をCFD 境界条件として入力する。Engine性能計算、翼 Reynolds数計算、再突入カプCell 加熱解析(高層大気 密度)などに使われる。大気中 音速($a=\sqrt{\gamma RT}$)が変わるとMach数が変わる で、遷音速・超音速飛行 Simulationでは特に重要だ。

Frequently Asked Questions

What is the International Standard Atmosphere (ISA)?
It is a standard model of altitude, temperature, pressure, and density defined by ICAO (International Civil Aviation Organization). Reference values at sea level: pressure 101325 Pa, temperature 288.15 K (15°C), density 1.225 kg/m³. It is defined in multiple layers: the troposphere (0–11 km) where temperature decreases at 6.5 K/km, the lower stratosphere (11–20 km) is isothermal at 216.65 K, and the upper stratosphere (20–32 km) where temperature increases at 1 K/km, etc.
What is the atmospheric pressure at 8848 m (Mount Everest)?
According to the ISA model, it is about 314 hPa (about 31% of sea level pressure), and the temperature is about −42°C. The partial pressure of oxygen is also about 31% of sea level, making it extremely difficult to summit without supplemental oxygen. Hillary and Tenzing used oxygen cylinders when they first climbed in 1953. ISA is an average for a standard year, so actual values vary with season and latitude.
How does the speed of sound change with altitude?
The speed of sound is given by $a = \sqrt{\gamma RT}$ and depends only on temperature (γ=1.4, R=287 J/kgK), not directly on pressure or density. In the troposphere, as altitude increases, temperature decreases and the speed of sound also decreases. Sea level: 340 m/s → lower stratosphere (T=216.65 K): about 295 m/s. The Mach number of a high-speed aircraft is the ratio of its speed to this local speed of sound, so at the same flight speed, the Mach number is higher at higher altitudes.
What are the characteristics of the mesosphere and thermosphere?
The mesosphere (50–80 km) sees temperature drop again, reaching the lowest atmospheric temperature (about −90°C) near 80 km. It is also the layer where meteors burn up. The thermosphere (above 80 km) absorbs extreme ultraviolet (EUV) from the sun and can reach over 1000°C, but the air is so thin that the heat content is low. The ISS flies in the thermosphere (around 400 km altitude).
How to use the ISA model for aircraft CFD analysis?
In aircraft CFD, ISA values at the flight altitude (pressure p, temperature T, density ρ, dynamic viscosity μ) are set as far-field boundary conditions. Dynamic viscosity is calculated using Sutherland's formula: $\mu = \mu_0(T/T_0)^{3/2}(T_0+S)/(T+S)$. The boundary conditions for compressible flow, determined by Mach number M = V/a, also change with altitude. In OpenFOAM, this can be set with the `freestream` boundary condition; in Ansys Fluent, pressure correction for altitude can be done under 'Operating Conditions'.

What is Atmosphere Layers Simulator?

Atmosphere Layers Simulator is a fundamental topic in engineering and applied physics. This interactive simulator lets you explore the key behaviors and relationships by directly manipulating parameters and observing real-time results.

By combining numerical computation with visual feedback, the simulator bridges the gap between abstract theory and physical intuition — making it an effective learning tool for students and a rapid-verification tool for practicing engineers.

Physical Model & Key Equations

The simulator is based on the governing equations behind Atmosphere Layers Simulator. Understanding these equations is key to interpreting the results correctly.

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Each parameter in the equations corresponds to a slider in the control panel. Moving a slider changes the equation's solution in real time, helping you build a direct connection between mathematical expressions and physical behavior.

Real-World Applications

Engineering Design: The concepts behind Atmosphere Layers Simulator are applied across mechanical, structural, electrical, and fluid engineering disciplines. This tool provides a quick way to estimate design parameters and sensitivity before committing to full CAE analysis.

Education & Research: Widely used in engineering curricula to connect theory with numerical computation. Also serves as a first-pass validation tool in research settings.

CAE Workflow Integration: Before running finite element (FEM) or computational fluid dynamics (CFD) simulations, engineers use simplified models like this to establish physical scale, identify dominant parameters, and define realistic boundary conditions.

Common Misconceptions and Points of Caution

Model assumptions: The mathematical model used here relies on simplifying assumptions such as linearity, homogeneity, and isotropy. Always verify that your real system satisfies these assumptions before applying results directly to design decisions.

Units and scale: Many calculation errors arise from unit conversion mistakes or order-of-magnitude errors. Pay close attention to the units shown next to each parameter input.

Validating results: Always sanity-check simulator output against physical intuition or hand calculations. If a result seems unexpected, review your input parameters or verify with an independent method.