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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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