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5 results on '"Sedlák, Pavel"'

1. Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe’s terrestrial ecosystems: a review

Author

Franz, Daniela, Acosta, Manuel, Altimir, Núria, Arriga, Nicola, Arrouays, Dominique, Aubinet, Marc, Aurela, Mika, Ayres, Edward, López-Ballesteros, Ana, Barbaste, Mireille, Berveiller, Daniel, Biraud, Sébastien, Boukir, Hakima, Brown, Timothy, Brümmer, Christian, Buchmann, Nina, Burba, George, Carrara, Arnaud, Cescatti, Allessandro, Ceschia, Eric, Clement, Robert, Cremonese, Edoardo, Crill, Patrick, Darenova, Eva, Dengel, Sigrid, D’Odorico, Petra, Filippa, Gianluca, Fleck, Stefan, Fratini, Gerardo, Fuß, Roland, Gielen, Bert, Gogo, Sébastien, Grace, John, Graf, Alexander, Grelle, Achim, Gross, Patrick, Grünwald, Thomas, Haapanala, Sami, Hehn, Markus, Heinesch, Bernard, Heiskanen, Jouni, Herbst, Mathias, Herschlein, Christine, Hörtnagl, Lukas, Hufkens, Koen, Ibrom, Andreas, Jolivet, Claudy, Joly, Lilian, Jones, Michael, Kiese, Ralf, Klemedtsson, Leif, Kljun, Natascha, Klumpp, Katja, Kolari, Pasi, Kolle, Olaf, Kowalski, Andrew, Kutsch, Werner, Laurila, Tuomas, de Ligne, Anne, Linder, Sune, Lindroth, Anders, Lohila, Annalea, Longdoz, Bernhard, Mammarella, Ivan, Manise, Tanguy, Jiménez, Sara Maraňón, Matteucci, Giorgio, Mauder, Matthias, Meier, Philip, Merbold, Lutz, Mereu, Simone, Metzger, Stefan, Migliavacca, Mirco, Mölder, Meelis, Montagnani, Leonardo, Moureaux, Christine, Nelson, David, Nemitz, Eiko, Nicolini, Giacomo, Nilsson, Mats B, de Beeck, Maarten Op, Osborne, Bruce, Löfvenius, Mikaell Ottosson, Pavelka, Marian, Peichl, Matthias, Peltola, Olli, Pihlatie, Mari, Pitacco, Andrea, Pokorný, Radek, Pumpanen, Jukka, Ratié, Céline, Rebmann, Corinna, Roland, Marilyn, Sabbatini, Simone, Saby, Nicolas PA, Saunders, Matthew, Schmid, Hans Peter, Schrumpf, Marion, Sedlák, Pavel, and Ortiz, Penelope Serrano

Subjects
Agriculture, Land and Farm Management, Agricultural, Veterinary and Food Sciences, Climate Action, ICOS, GHG exchange, carbon cycle, standardised monitoring, observational network, Agronomy & Agriculture, Agriculture, land and farm management
Abstract

Research infrastructures play a key role in launching a new generation of integrated long-Term, geographically distributed observation programmes designed to monitor climate change, better understand its impacts on global ecosystems, and evaluate possible mitigation and adaptation strategies. The pan-European Integrated Carbon Observation System combines carbon and greenhouse gas (GHG; CO 2 , CH 4 , N 2 O, H 2 O) observations within the atmosphere, terrestrial ecosystems and oceans. High-precision measurements are obtained using standardised methodologies, are centrally processed and openly available in a traceable and verifiable fashion in combination with detailed metadata. The Integrated Carbon Observation System ecosystem station network aims to sample climate and land-cover variability across Europe. In addition to GHG flux measurements, a large set of complementary data (including management practices, vegetation and soil characteristics) is collected to support the interpretation, spatial upscaling and modelling of observed ecosystem carbon and GHG dynamics. The applied sampling design was developed and formulated in protocols by the scientific community, representing a trade-off between an ideal dataset and practical feasibility. The use of open-Access, high-quality and multi-level data products by different user communities is crucial for the Integrated Carbon Observation System in order to achieve its scientific potential and societal value.

Published
2018

2. Estimating the storage term in eddy covariance measurements : the ICOS methodology

Author

Montagnani, Leonardo, Grünwald, Thomas, Kowalski, Andrew, Mammarella, Ivan, Merbold, Lutz, Metzger, Stefan, Sedlák, Pavel, Siebicke, Lukas, and Department of Physics

Subjects
4112 Forestry, CO2 STORAGE, NET ECOSYSTEM EXCHANGE, storage flux, BUDGET, FOREST, ADVECTION, 114 Physical sciences, CARBON-DIOXIDE, ICOS, METHANE FLUX, WATER-VAPOR, CANOPY, greenhouse gases, eddy covariance, Protocol, Storage flux, Eddy covariance, Greenhouse gases, protocol, SYSTEM
Abstract

In eddy covariance measurements, the storage flux represents the variation in time of the dry molar fraction of a given gas in the control volume representative of turbulent flux. Depending on the time scale considered, and on the height above ground of the measurements, it can either be a major component of the overall net ecosystem exchange or nearly negligible. Instrumental configuration and computational procedures must be optimized to measure this change at the time step used for the turbulent flux measurement. Three different configurations are suitable within the Integrated Carbon Observation System infrastructure for the storage flux determination: separate sampling, subsequent sampling and mixed sampling. These configurations have their own advantages and disadvantages, and must be carefully selected based on the specific features of the considered station. In this paper, guidelines about number and distribution of vertical and horizontal sampling points are given. Details about suitable instruments, sampling devices, and computational procedures for the quantification of the storage flux of different GHG gases are also provided. ISSN:0236-8722 ISSN:2300-8725

Published
2018

3. Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations.

Author

Sabbatini, Simone, Mammarella, Ivan, Arriga, Nicola, Fratini, Gerardo, Graf, Alexander, Hörtnagl, Lukas, Ibrom, Andreas, Longdoz, Bernard, Mauder, Matthias, Merbold, Lutz, Metzger, Stefan, Montagnani, Leonardo, Pitacco, Andrea, Rebmann, Corinna, Sedlák, Pavel, Šigut, Ladislav, Vitale, Domenico, and Papale, Dario

Subjects
ANALYSIS of covariance, CARBON dioxide & the environment, EDDY flux, ECOSYSTEM management, GREENHOUSE gases & the environment, GREENHOUSE gas protocol
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. [ABSTRACT FROM AUTHOR]

Published
2018
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4. Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations

Author

Sabbatini, Simone, Mammarella, Ivan, Arriga, Nicola, Fratini, Gerardo, Graf, Alexander, Hörtnagl, Lukas, Ibrom, Andreas, Longdoz, Bernard, Mauder, Matthias, Merbold, Lutz, Metzger, Stefan, Montagnani, Leonardo, Pitacco, Andrea, Rebmann, Corinna, Sedlák, Pavel, Šigut, Ladislav, Vitale, Domenico, and Papale, Dario

Subjects
ICOS, 13. Climate action, method standardisation, biosphere-atmosphere exchange, protocol, turbulent fluxes, 7. Clean energy, Physics::Atmospheric and Oceanic Physics
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., International Agrophysics, 32 (4), ISSN:0236-8722, ISSN:2300-8725

5. Estimating the storage term in eddy covariance measurements: the ICOS methodology

Author

Montagnani, Leonardo, Grünwald, Thomas, Kowalski, Andrew, Mammarella, Ivan, Merbold, Lutz, Metzger, Stefan, Sedlák, Pavel, and Siebicke, Lukas

Subjects
Greenhouse gases, ICOS, 13. Climate action, Protocol, Storage flux, Eddy covariance, 7. Clean energy
Abstract

In eddy covariance measurements, the storage flux represents the variation in time of the dry molar fraction of a given gas in the control volume representative of turbulent flux. Depending on the time scale considered, and on the height above ground of the measurements, it can either be a major component of the overall net ecosystem exchange or nearly negligible. Instrumental configuration and computational procedures must be optimized to measure this change at the time step used for the turbulent flux measurement. Three different configurations are suitable within the Integrated Carbon Observation System infrastructure for the storage flux determination: separate sampling, subsequent sampling and mixed sampling. These configurations have their own advantages and disadvantages, and must be carefully selected based on the specific features of the considered station. In this paper, guidelines about number and distribution of vertical and horizontal sampling points are given. Details about suitable instruments, sampling devices, and computational procedures for the quantification of the storage flux of different GHG gases are also provided., International Agrophysics, 32 (4), ISSN:0236-8722, ISSN:2300-8725

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