compute.Ksurf.linear: Extrapolate vertical profile of a radiometric quantity (EdZ,...
In belasi01/Cops: C-OPS Processing

compute.Ksurf.linear

R Documentation

Extrapolate vertical profile of a radiometric quantity (EdZ, EuZ, LuZ) to the air-sea interface using a linear model applied to log-transformed data in an iterative scheme.

Description

Extrapolate vertical profile of a radiometric quantity (EdZ, EuZ, LuZ) to the air-sea interface using a linear model applied to log-transformed data in an iterative scheme.

Usage

compute.Ksurf.linear(
  Depth,
  aop,
  r2.threshold = 0.8,
  instrument = "LuZ",
  delta.depth = 2.5
)

Arguments

`Depth`	is a vector of depth corresponding to the input quantity
`aop`	is the matrix of EdZ, EuZ or LuZ. The matrix should be clean after filtration for high instrument tilt.
`r2.threshold`	is the minimum R^2 require to accept the fit (Default is 0.80)
`instrument`	is the instrument type, "EdZ", "EuZ" or "LuZ"
`delta.depth`	is the depth interval toletared between the first and the last depth condidered for the surface. The Default is 2.5 meters. So if the very first measurement is at 0.5 m, the "surface" layer is considered as 0.5 to 3 meters depth. But this is the maximum layer considered. The minimum layer is fixed at 0.30 m, so in this example it would be from 0.5 to 0.8 m.

Details

This function is called by process.EdZ process.EuZ process.LuZ

Value

A list of list of 5 vectors of 19 values (one per wavelenght): X.0m (is the quantity (EdZ, LuZ or EuZ) just below the sea surface), Kx (is the diffuse attenuation coefficient of the surface layer considered), Z.interval (is the maximum depth considered), ix.Z.interval (is the index of the maximum depth considered), r2 (is the R-squared of the regression), detection.limit