get.AllSchems: Function to get all scheme calculation, adjust = TRUE make a...

In roilanhv/longwaveR: Evaluate various downward longwave parametrizations

Description

Function to get all scheme calculation, adjust = TRUE make a adjusting NLS.

Usage

get.AllSchems(data, Ovrcst_sch = c("CQB", "CKC", "CCB", "CKZ", "CWU", "CJG",
  "CLM", "CFG"), Emiss_sch = c("EAN", "EBR", "EBT", "EDO", "EGR", "EIJ",
  "EID", "EKZ", "ENM", "EPR", "EST", "ESW", "EAI"), adjust = FALSE,
  method = "non-linear", nsample = 1000, max_iter = 10, stats = "rmse",
  log_file = NULL, forced = TRUE)

Arguments

data	Data frame with atmospheric variables
Ovrcst_sch	Schemes for cloud cover index
Emiss_sch	Schemes of atmosphere emissivity
adjust	FALSE, TRUE for NLS adjusting
method	"non-linear" (default) for Non linear Least Square adjust, "montecarlo" for MonteCarlo optimization. Later be usseful when a NLS can't adjust observed data allowing optimization.
nsample	population number evaluated in each iteration (only when method = "montecarlo").
max_iter	maximun number of iterations (only when method = "montecarlo").
stats	statistical function to be minimized (only when method = "montecarlo"), NOTE: the best result should be 0.0 (ex., if stats = r (correlation), then transform to rMod = 1.0 - r, so the best result is when r== 1.0, so rMod == 0.0)
log_file	path to a log file
forced	Forced adjust, default TRUE

Value

Data frame with Li observed and all combintions of schemes for calculations of Li

Author(s)

Roilan Hernandez

roilanhv/longwaveR documentation built on May 27, 2019, 1:46 p.m.