1. Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations
- Author
-
Bernard Longdoz, Ivan Mammarella, Matthias Mauder, Andreas Ibrom, Leonardo Montagnani, Domenico Vitale, Simone Sabbatini, Nicola Arriga, Ladislav Šigut, Lukas Hörtnagl, Corinna Rebmann, Alexander Graf, Lutz Merbold, Pavel Sedlák, Gerardo Fratini, Stefan Metzger, Dario Papale, Andrea Pitacco, INAR Physics, Micrometeorology and biogeochemical cycles, and Institute for Atmospheric and Earth System Research (INAR)
- Subjects
FOOTPRINT PREDICTION ,010504 meteorology & atmospheric sciences ,Water flow ,FREQUENCY-RESPONSE CORRECTIONS ,Eddy covariance ,biosphere-atmosphere exchange ,UNCERTAINTY ,turbulent fluxes ,Atmospheric sciences ,01 natural sciences ,7. Clean energy ,ICOS, protocol, method standardisation, biosphere-atmosphere exchange, turbulent fluxes ,CARBON ,Atmosphere ,ATTENUATION ,SONIC ANEMOMETER ,ICOS ,protocol ,method standardisation ,ddc:550 ,Ecosystem ,EXCHANGE ,PART II ,Biology ,1172 Environmental sciences ,Physics::Atmospheric and Oceanic Physics ,0105 earth and related environmental sciences ,04 agricultural and veterinary sciences ,Earth sciences ,WATER-VAPOR ,13. Climate action ,BALANCE ,Greenhouse gas ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,ddc:640 ,Raw data ,Energy (signal processing) ,Water vapor - 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.
- Published
- 2018
- Full Text
- View/download PDF