Joost van den Born dfa553c455 Update README.md
Addition of description of error propagation.
2019-05-03 13:23:31 +02:00
2019-05-03 12:35:14 +02:00
2019-04-04 11:47:43 +02:00
2019-04-04 11:47:43 +02:00
2019-05-03 13:23:31 +02:00

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 ( Atan(z) + Btan^3(z) )
  • Oriani's theorem expanded ( Atan(z) + Btan^3(z) + Ctan^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]

Analytical error propagation

Full analytical error propagation is available for the Ciddor dispersion model (Observatory.dn_tph( ) ), for the Cassini refraction model (refraction.cassiniError( ) ) and for the Cassini dispersion model (dispersion.cassiniError( ) ). The results agree well with a Monte Carlo simulation, suggesting that if additional errors have not been considered, they are of neglible importance.

Uncertainties that are considered:

Ciddor dispersion model:

Param. Description Unit
dl Wavelength um
dT Temperature K
dP Pressure Pa
dRH Relative Humidity
dCO2 CO2 density ppm

Cassini refraction model:

Param. Description Unit
dn Refractive index
dz Zenith angle deg

Cassini dispersion model:

Param. Description Unit
dl1, dl2 Wavelength(s) um
dT Temperature K
dP Pressure Pa
dRH Relative Humidity
dCO2 CO2 density ppm
dz Zenith angle deg
S
Description
Various atmospheric refraction models
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