FluxnetLSM R package (v1.0): a community tool for processing FLUXNET data for use in land surface modelling

• Published in: Geoscientific Model Development 2017-09, Vol.10 (9), p.3379-3390
• Main Authors: Ukkola, Anna M, Haughton, Ned, De Kauwe, Martin G, Abramowitz, Gab, Pitman, Andy J
• Format: Article
• Language: English
• Subjects: Atmospheric models; Automation; Benchmarks; Carbon; Carbon dioxide; Carbon dioxide exchange; Climate models; Communities; Data; Data processing; Datasets; Ecosystems; Energy measurement; Environment models; Environmental changes; Fluctuations; Flux; Land surface models; Metadata; Missing data; Modelling; Quality; Quality control; Reproducibility; Researchers; Time series; Tower measurements; Towers; Variables; Water vapor; Water vapour
• ISSN: 1991-9603; 1991-959X; 1991-962X; 1991-9603; 1991-962X
• DOI: 10.5194/gmd-10-3379-2017

Flux towers measure ecosystem-scale surface–atmosphere exchanges of energy, carbon dioxide and water vapour. The network of flux towers now encompasses ∼ 900 sites, spread across every continent. Consequently, these data have become an essential benchmarking tool for land surface models (LSMs). However, these data as released are not immediately usable for driving, evaluating and benchmarking LSMs. Flux tower data must first be transformed into a LSM-readable file format, a process which involves changing units, screening missing data and varying degrees of additional gap-filling. All of this often leads to an under-utilisation of these data in model benchmarking. To resolve some of these issues, and to help make flux tower measurements more widely used, we present a reproducible, open-source R package that transforms the FLUXNET2015 and La Thuile data releases into community standard NetCDF files that are directly usable by LSMs. We note that these data would also be useful for any other user or community seeking to independently quality control, gap-fill or use the FLUXNET data.