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Implementing additional features #27

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aeropung opened this issue Jul 6, 2023 · 0 comments
Open

Implementing additional features #27

aeropung opened this issue Jul 6, 2023 · 0 comments

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@aeropung
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aeropung commented Jul 6, 2023

There seems to be an obvious correlation between some features (ex. model in the Python lowtran code and "Model" in the original LOWTRAN documentation), and a NON-obvious correlation between others. For instance, consider the following example (found here):

p = ArgumentParser(description="Lowtran 7 interface")
# 1: Tropical,        2: Midlatitude Summer,  3: Midlatitude Winter
# 4: Subarctic Summer 5: Subarctic Winter:    6: 1976 US Standard
p.add_argument("--model", type=int, default=2)
p.add_argument("-z", "--obsalt", help="Observer altitude [km]", type=float, default=0.0)
p.add_argument("-a", "--zenang", help="Observer zenith angle [deg]", type=float, nargs="+", default=[35])
p.add_argument("-s", "--short", help="Shortest wavelength [nm]", type=float, default=200)
p.add_argument("-l", "--long", help="Longest wavelength [cm^-1]", type=float, default=30000)
p.add_argument("-step", help="Wavelength step size [cm^-1]", type=float, default=20)
P = p.parse_args()

c1 = {
    "model": P.model,
    "h1": P.obsalt,
    "angle": P.zenang,
    "wlshort": P.short,
    "wllong": P.long,
    "wlstep": P.step,
}

How do I implement:

  • Scattering type (IMULT parameter, Card 1)
  • Cloud type (ICLD parameter, Card 2)
  • Aerosol attenuation (IHAZE parameter, Card 2)

These would be phenomenal to be able to control!

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