CH-LAE Flux Product (PI dataset)
This dataset is currently in preparation. Both the data and this documentation are work in progress and are subject to change. Please contact the author before using the data.
produced by Lukas Hörtnagl
Documentation and notebooks for the creation of the PI dataset of the mixed forest station CH-LAE (Laegeren) . The site is part of Swiss FluxNet, operated by the Grassland Sciences Group, ETH Zurich. Group leader: Prof. Nina Buchmann.
The dataset comprises ecosystem fluxes measured by the eddy covariance method (CO2, H2O, H), meteorological data and detailed management info between 2004 and 2025. More data will be added to this dataset in the future.
For an overview of the dataset, see Overview.
For an overview of recent documentation updates see here.
For a list of planned updates and additions, see Issues on the GitHub repository.
Current dataset version
CH-LAE FP2026.1 (2016-2025) [in progress]
First release, covering the enclosed-path LI-7200 era from the January 2016 setup change onwards.
CH-LAE FP2026.2 (2004-2025) [in progress]
Second release, extending the record back to 2004. Supersedes FP2026.1, which it re-includes in full.
Acknowledgments
We acknowledge the scientific advice by Iris Feigenwinter, Yi Wang, Lukas Hörtnagl, Lutz Merbold, Werner Eugster and Nina Buchmann.
The authors are grateful to Thomas Baur, Meier Philip, and Markus Staudinger for technical assistance and maintenance of instrumentation.
Meteorological data were made available through MeteoSwiss, Federal Office of Meteorology and Climatology, Switzerland and the Swiss air quality monitoring network (NABEL). We thank the forester Philip Vock for enabling and supporting the studies at the Lägeren forest, Johannes Böhm, Roger Süess, Arnold Streule and Thomas Baur for maintaining the EC infrastructure, as well as Lydia Gentsch for continuing the soil respiration measurements at the Lägeren in 2008.
Funding
This work was funded by the ETH Zurich, Switzerland (ETH research grant TH-1006-02), and the Swiss Federal Office for Environment (BAFU Contract-No. 04.1140.PJ/I153-2413 and 06.0091.PZ/I153-2518). We acknowledge funding from the ETH Zürich project FEVER (ETH-27 19-1), and the SNF funded project EcoDrive (IZCOZ0_198094).