fOptimSingleE0: Estimate temperature sensitivity E_0 using a Newton type...

In REddyProc: Data processing and plotting utilities of (half-)hourly eddy-covariance measurements

Description

Estimate temperature sensitivity E_0 of fLloydTaylor for a single time series using a Newton type optimization.

Usage

fOptimSingleE0(NEEnight.V.n, Temp_degK.V.n, T_ref.n, 
    Trim.n = 5, recoverOnError = FALSE, algorithm = "default")

Arguments

NEEnight.V.n	(Original) nighttime ecosystem carbon flux, i.e. respiration vector
Temp_degK.V.n	(Original) air or soil temperature vector (degC)
T_ref.n
Trim.n	Percentile to trim residual (%)
recoverOnError	Set to TRUE to debug errors instead of catching them
algorithm	optimization algorithm used (see nls

Value

Numeric vector with following components:

R_ref	Estimate of respiration rate at reference temperature
R_ref_SD	Standard deviation of R_ref
E_0	Estimate of temperature sensitivity ("activation energy") in Kelvin (degK) for untrimmed dataset
E_0_SD	Standard deviation of E_0
E_0_trim	Estimate of temperature sensitivity ("activation energy") in Kelvin (degK) for trimmed dataset
E_0_trim_SD	Standard deviation of E_0_trim

Author(s)

AMM, TW (Department for Biogeochemical Integration at MPI-BGC, Jena, Germany)

REddyProc documentation built on May 2, 2019, 5:19 p.m.