Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1515/intag-2017-0043
Title (Primary) Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations
Author Sabbatini, S.; Mammarella, I.; Arriga, N.; Fratini, G.; Graf, A.; Hörtnagl, L.; Ibrom, A.; Longdoz, B.; Mauder, M.; Merbold, L.; Metzger, S.; Montagnani, L.; Pitacco, A.; Rebmann, C.; Sedlák, P.; Šigut, L.; Vitale, D.; Papale, D.
Source Titel International Agrophysics
Year 2018
Department CHS
Volume 32
Issue 4
Page From 495
Page To 515
Language englisch
Keywords ICOS; protocol; method standardisation; biosphere-atmosphere exchange; turbulent fluxes
Abstract The eddy covariance is a powerful technique to estimate the surface-atmosphere exchange of different scalars at the ecosystem scale. The EC method is central to the ecosystem component of the Integrated Carbon Observation System, a monitoring network for greenhouse gases across the European Continent. The data processing sequence applied to the collected raw data is complex, and multiple robust options for the different steps are often available. For Integrated Carbon Observation System and similar networks, the standardisation of methods is essential to avoid methodological biases and improve comparability of the results. We introduce here the steps of the processing chain applied to the eddy covariance data of Integrated Carbon Observation System stations for the estimation of final CO2, water and energy fluxes, including the calculation of their uncertainties. The selected methods are discussed against valid alternative options in terms of suitability and respective drawbacks and advantages. The main challenge is to warrant standardised processing for all stations in spite of the large differences in e.g. ecosystem traits and site conditions. The main achievement of the Integrated Carbon Observation System eddy covariance data processing is making CO2 and energy flux results as comparable and reliable as possible, given the current micrometeorological understanding and the generally accepted state-of-the-art processing methods.
Persistent UFZ Identifier
Sabbatini, S., Mammarella, I., Arriga, N., Fratini, G., Graf, A., Hörtnagl, L., Ibrom, A., Longdoz, B., Mauder, M., Merbold, L., Metzger, S., Montagnani, L., Pitacco, A., Rebmann, C., Sedlák, P., Šigut, L., Vitale, D., Papale, D. (2018):
Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations
Int. Agrophys. 32 (4), 495 - 515