Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F18%3A00499161" target="_blank" >RIV/86652079:_____/18:00499161 - isvavai.cz</a>
Alternative codes found
RIV/68378289:_____/18:00498866
Result on the web
<a href="http://dx.doi.org/10.1515/intag-2017-0043" target="_blank" >http://dx.doi.org/10.1515/intag-2017-0043</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/intag-2017-0043" target="_blank" >10.1515/intag-2017-0043</a>
Alternative languages
Result language
angličtina
Original language name
Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations
Original language description
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 tenns 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10509 - Meteorology and atmospheric sciences
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Agrophysics
ISSN
0236-8722
e-ISSN
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Volume of the periodical
32
Issue of the periodical within the volume
4
Country of publishing house
PL - POLAND
Number of pages
24
Pages from-to
495-515
UT code for WoS article
000453410400004
EID of the result in the Scopus database
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