mirror of
https://gitlab.astro-wise.org/micado/atmosphericmodel.git
synced 2026-10-29 20:51:05 +00:00
eee6181d26d210bc0a5ed80a71b4e569ea303311
Here you can find a set of models describing the atmospheric refraction and dispersion.
Contents:
- atmosphericModel.py : Python model that can be used to calculate the atmospheric refraction and dispersion
- refractionModel.py : Python script that compares the output of the different rerfraction models. Can be used as an example on how to use atmosphericModel.py
- 1976USSA.txt : Table with temperature, pressure, density and more as a function of altitude. Values derived from the 1976 U.S. Standard Atmosphere.
- manual.pdf : Manual for using atmosphericModel.py
- atmospheric refraction example: jupyter notebook example
- [Tech note]...models.pdf : Tech note describing the models.
On the dispersion model: Dispersion model from Ciddor, 1996, calculates the index of refraction of air using the following parameters:
- Temperature
- Pressure
- Relative humidity
- CO2 density
On the atmospheric refraction / atmospheric dispersion models: Available models:
- Full integration using the refractive integral (requires detailed information about the atmosphere, e.g. 1976USSA.txt)
- Plane-parallel atmosphere refraction model
- Cassini's homogeneous atmosphere refraction model
- Oriani's theorem ( A*tan(z) + B^*tanˆ^3(z) )
- Oriani's theorem expanded ( Atan(z) + Btanˆ^3(z) + C*tan^5(z) )
- Error function refraction model
Input parameters for the spherical atmosphere models (all but the first):
- Temperature [K]
- Pressure [Pa]
- Relative humidity
- CO2 density [ppm]
- Latitude [deg]
- Height above sea level [m]
- Wavelength(s) [um]
- Zenith angle [deg]
Languages
HTML
70%
Python
28.5%
Jupyter Notebook
1.5%