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FLUXNET-ECN Seminar “Working with EC data in R: From processing to applications”
June 22, 2022 @ 12:00 pm - 1:30 pm
Join us in the forthcoming FLUXNET-ECN Seminar, a community event co-sponsored by FLUXNET Early Career Network, AmeriFlux Management Project (AMP), and members of the FLUXNET communities.
The seminar will be entitled “Working with EC data in R: From processing to applications”. The speakers (and their authoring R packages) are Dominico Vitale (Rflux), Housen Chu (AmerifluxR), and Jürgen Knauer (bigleaf). Their presentations include a brief introduction and demonstration of the packages, followed by questions and discussions.
Register for this seminar: https://lbnl.zoom.us/meeting/register/tJIod-ygqDotG9z9keVRYy5iN52m-Ae_b25O
Wednesday, June 22nd, 12 pm PST | 3 pm EST | 8 pm London | 5 am (Thursday June 23rd) Tokyo
Housen Chu is a Research Scientist at Lawrence Berkeley Lab. He is a team member of the AmeriFlux Management Project, which supports the AmeriFlux community and sites to ensure the quality and availability of the continuous, long-term carbon, water, and energy flux data. His research interests are understanding and building the mechanistic linkages between ecosystem characteristics, functions, and processes. He also develops the ‘amerifluxr’ R package, facilitating the query, download, and use of AmeriFlux data.
Jürgen Knauer is a Postdoctoral Researcher at the Hawkesbury Institute for the Environment at Western Sydney University, where he works on modelling vegetation responses to climate change. He uses FLUXNET data primarily to better understand how ecosystem physiology affects land-atmosphere carbon and water fluxes. He is developer and maintainer of the R package bigleaf, which aims to derive functional ecosystem characteristics from meteorological and flux measurements.
Domenico Vitale (PhD) is currently a researcher at the CMCC (Euro-Mediterranean Centre for Climate Change) foundation and collaborates with the ICOS-ETC (Integrated Carbon Observation System – Ecosystem Thematic Center) research infrastructure in testing and development of new methods for the processing of eddy covariance data. His main research interests include: data mining, time series analysis, stochastic processes, quality control, uncertainty estimation, missing data imputation. He is developer and maintainer of the R package RFlux (https://github.com/icos-etc/RFlux), an R graphical user interface for processing eddy covariance raw data.
Contact organizers at: [email protected]