Analysing Eddy-Covariance data using REddyProc
Co-organized as BG1.72
Convener: Thomas Wutzler | Co-conveners: Antje Lucas-Moffat, Mirco Migliavacca, M. Reichstein, Ladislav Šigut
Fri, 12 Apr, 08:30–10:15
Room -2.85

With the eddy covariance (EC) technique, net fluxes of carbon dioxide (CO2) and other trace gases as well as water and energy fluxes can be measured at the ecosystem level. These flux measurements are a main source for understanding biosphere-atmosphere interactions and feedbacks by cross-site analysis, model-data integration, and up-scaling.
However, analysis of the the half-hourly data requires intensive post-processing.
The attendees get teaching and hands-on training in standard post-processing routines of estimating the u*-threshold, gap-filling, flux-partitioning, aggregating results to days, seasons, and years, and error propagation using the open REddyProc R package with a focus on CO2 fluxes.

To help design a better lecture tell us your expectations at the following survey:

Participants should come with a laptop with installed recent versions of R, RStudio, and REddyProc.

Public information:
8:30 Basic Carbon fluxes: uStar threshold, gapFilling, flux-partitioning
9:30 Uncertainty estimation and common challenges