Partitioning of NEE into GPP and RE using the Lasslop et al. (2010) method

Source: R/PartitioningLasslop10Nighttime.R

Estimate temperature sensitivity parameters for successive periods

partGL_FitNight_E0_RRef(
  ds,
  winSizeRefInDays = 4L,
  winSizeNight = 12L,
  winExtendSizes = winSizeNight * c(2L, 4L),
  strideInDays = 2L,
  nRecInDay = 48L,
  isVerbose = TRUE,
  controlGLPart = partGLControl()
)

Arguments

ds

data.frame with numeric columns NEE, sdNEE, Temp (degC), VPD, Rg, and logical columns isNight and isDay

winSizeRefInDays

Window size in days for daytime for referencing windows to the same base

winSizeNight

Window size in days for nighttime fits

winExtendSizes

successively increased nighttime windows, to obtain a night-time fit

strideInDays

step in days for shifting the windows

nRecInDay

number of records within one day (for half-hourly data its 48)

isVerbose

set to FALSE to suppress messages

controlGLPart

list of further default parameters

Details

Window sizes are successively increased to winExtendSizes in order to obtain parameter estimates where fits with smaller window size failed. This behaviour of repeated attempts can be avoid by setting controlGLPart$isExtendTRefWindow = FALSE.