-
-
Notifications
You must be signed in to change notification settings - Fork 43
Open
Description
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 (
IMULTparameter, Card 1) - Cloud type (
ICLDparameter, Card 2) - Aerosol attenuation (
IHAZEparameter, Card 2)
These would be phenomenal to be able to control!
Metadata
Metadata
Assignees
Labels
No labels