Post Processing of (Half-)Hourly Eddy-Covariance Measurements
Standard and extensible Eddy-Covariance data post-processing includes
uStar-filtering, gap-filling, and flux-partitioning.
The Eddy-Covariance (EC) micrometeorological technique quantifies continuous
exchange fluxes of gases, energy, and momentum between an ecosystem and the atmosphere.
It is important for understanding ecosystem dynamics and upscaling exchange fluxes.
(Aubinet et al. (2012) ).
This package inputs pre-processed (half-)hourly data and supports further processing.
First, a quality-check and filtering is performed based on the relationship between
measured flux and friction
velocity (uStar) to discard biased data
(Papale et al. (2006) ).
Second, gaps in the data are filled based on information from environmental conditions
(Reichstein et al. (2005) ).
Third, the net flux of carbon dioxide is partitioned
into its gross fluxes in and out of the ecosystem by night-time
based and day-time based approaches
(Lasslop et al. (2010) ).
News
REddyProc 1.1.5
Moving profiling code and associated dependencies out of the distributed code.
REddyProc 1.1.4
Reworking dependencies
implementing logit and invlogit from logtinorm directly in REddyProc
moving NetCDF related functions and dependencies to separate package REddyProcNCDF
REddyProc 1.1.3
Code cleanup
replacing deprecated dplyr underscore functions by rlang syntax
extended tests
REddyProc 1.1.2
Further CRAN issues, not affecting usage:
avoid building computation-intensive vignette on CRAN
fixed a small memory-leak in uStar-filtering routine whichValueGreaterEqualC
deleted one example that still violated CRAN policy by writing to /tmp
REddyProc 1.1
CRAN policy related adjustments, not affecting the usage:
avoid writing files outside tempdir()
Using latex syntax \donttest{} instead of R function donttest() in examples.
Converted the realistic data example from function example section
to a series of vignettes.
REddyProc 1.0.0.9000
There have been major code restructurings for implementing alternative light response curves in the day-time flux partitioning.
A few non-backward compatible changes have been introduced, e.g. by shortening function names. Hence this version is meant to be tested before changing version number to 1.1.0.
Interface changes
renamed usGetAnnualSeasonUStarMappingFromDistributionResult to usGetAnnualSeasonUStarMap
renamed usGetSeasonalSeasonUStarMappingFromDistributionResult to usGetSeasonalSeasonUStarMap
removed position arguments from sMRFluxPartition
consistently use sSetLocationInfo before
Changes in Day-Time partitioning
adpted Lasslop prior information on LRC-fit parameters as default
more options to control daytim-fitting with partGLControl
quickly maximise compatibility with Lasslop-pvWave processing by function
partGLControlLasslopCompatible
REddyProc 0.8.6.9000
This is a development version put to github so that all contributers can test and contribute for preparing version 1.0.
Gapfilling
now marking half-hours for which uStar is missing as a gap
not filtering day-time for low uStar (but kept option to do so)
Daytime-Flux partitioning
estimating temperature E0 with Reference Temperatue at median of the data
smoothing E0 estimates across time
re-estimating prior and intial value of RRef for smoothed E0
Further changes
Migration to github
The hosting of the development moved (maybe temporarily) from mercurial to github. Releases will still be put to r-forge, because of its good package-checking setup for several platforms, and the help for submission to CRAN, but versioning and development of the code will be done on github.
Documentation
A README.Rmd and this NEWS.md file have been added.