Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/68378289:_____/18:00498866
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10509 - Meteorology and atmospheric sciences
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Agrophysics
ISSN
0236-8722
e-ISSN
—
Svazek periodika
32
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
PL - Polská republika
Počet stran výsledku
24
Strana od-do
495-515
Kód UT WoS článku
000453410400004
EID výsledku v databázi Scopus
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