sEddyProc_sEstimateUstarScenarios {REddyProc} | R Documentation |
sEddyProc sEstimateUstarScenarios
Description
Estimate the distribution of u* threshold by bootstrapping over data
Usage
sEddyProc_sEstimateUstarScenarios(ctrlUstarEst = usControlUstarEst(),
ctrlUstarSub = usControlUstarSubsetting(),
UstarColName = "Ustar", NEEColName = "NEE",
TempColName = "Tair", RgColName = "Rg",
..., seasonFactor = usCreateSeasonFactorMonth(sDATA$sDateTime),
nSample = 200L, probs = c(0.05, 0.5,
0.95), isVerbose = TRUE, suppressWarningsAfterFirst = TRUE)
Arguments
ctrlUstarEst |
control parameters
for estimating uStar on a single binned series,
see |
ctrlUstarSub |
control parameters
for subsetting time series (number of temperature and Ustar classes
...), see |
UstarColName |
column name for UStar |
NEEColName |
column name for NEE |
TempColName |
column name for air temperature |
RgColName |
column name for solar radiation for omitting night time data |
... |
further arguments to |
seasonFactor |
factor of seasons to split (data is resampled only within the seasons) |
nSample |
the number of repetitions in the bootstrap |
probs |
the quantiles of the bootstrap sample to return. Default is the 5%, median and 95% of the bootstrap |
isVerbose |
set to FALSE to omit printing progress |
suppressWarningsAfterFirst |
set to FALSE to show also warnings for all bootstrap estimates instead of only the first bootstrap sample |
Details
The choice of the criterion for sufficiently turbulent conditions (u * > chosen threshold) introduces large uncertainties in calculations based on gap-filled Eddy data. Hence, it is good practice to compare derived quantities based on gap-filled data using a range of u * threshold estimates.
This method explores the probability density of the threshold by
repeating its estimation
on a bootstrapped sample.
By default it returns the 90% confidence interval (argument probs
).
For larger intervals the sample number need to be
increased (argument probs
).
- Quality Assurance
-
If more than
ctrlUstarEst$minValidBootProp
(default 40%) did not report a threshold, no quantiles (i.e. NA) are reported.
Value
updated class. Request results by
sEddyProc_sGetEstimatedUstarThresholdDistribution
Author(s)
TW Department for Biogeochemical Integration at MPI-BGC, Jena, Germany <REddyProc-help@bgc-jena.mpg.de> [cph], Thomas Wutzler <twutz@bgc-jena.mpg.de> [aut, cre], Markus Reichstein <mreichstein@bgc-jena.mpg.de> [aut], Antje Maria Moffat <antje.moffat@bgc.mpg.de> [aut, trl], Olaf Menzer <omenzer@bgc-jena.mpg.de> [ctb], Mirco Migliavacca <mmiglia@bgc-jena.mpg.de> [aut], Kerstin Sickel <ksickel@bgc-jena.mpg.de> [ctb, trl], Ladislav <U+0160>igut <sigut.l@czechglobe.cz> [ctb]
See Also
sEddyProc_sEstUstarThold
, sEddyProc_sGetEstimatedUstarThresholdDistribution
, sEddyProc_sSetUstarScenarios
, sEddyProc_sMDSGapFillUStarScens