predict_grid: Predict SAF or PSF grid from fitted model

In AlexCast/apsfs: Monte Carlo code for simulation of atmospheric Point Spread Functions and spatially-resolved Spherical Albedo Functions

Predict SAF or PSF grid from fitted model

Description

Predicts a SAF or PSF grid from annular or grid fitted models.

Usage

predict_grid(
  f_aer,
  f_ray,
  wray,
  waer,
  ext = 0,
  res = 0.03,
  press = NULL,
  tpred = NULL,
  vaz = pi/2
)

Arguments

f_aer	Grid or annular fit to Rayleigh SAF or PSF
wray	Weight (transmittance or reflectance) due to Rayleigh
waer	Weight (transmittance or reflectance) due to aerosols
ext	Maximum spatial extent at geom resolution (km).
res	Resolution (km), [0,10].
press	Pressure in mbar or NULL. For annular fits only.
tpred	Third predictor level or NULL. For sectorial fits only.
vaz	Viewing azimuth (rad). For sectorial geometry only.

Details

The grid for each scatter type are calculated individually, then their weighted average is calculated based on the weights for Rayleigh and aerosol. The weights are given by the spherical albedo (for SAF) and diffuse upward transmittance (for PSF).

AlexCast/apsfs documentation built on Feb. 1, 2024, 9:48 p.m.