Climate change; forest ecosystem; atmosphere; Earth system science; greenhouse gas budget; International research infrastructure
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Lin Shangrong, Li Jing, Liu Qinhuo, Gioli Beniamino, Paul-Limoges Eugenie, Buchmann Nina, Gharun Mana, Hörtnagl Lukas, Foltýnová Lenka, Dušek Jiří, Li Longhui, Yuan Wenping (2021), Improved global estimations of gross primary productivity of natural vegetation types by incorporating plant functional type, in
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Hörtnagl Lukas (2021), DYCO: A Python package to dynamically detect and compensate for time lags in ecosystem time series, in
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Environmental Research Letters, 16(4), 044037-044037.
Bukowiecki Nicolas, Brem Benjamin T., Wehrle Günther, Močnik Griša, Affolter Stéphane, Leuenberger Markus, Coen Martine Collaud, Hervo Maxime, Baltensperger Urs, Gysel-Beer Martin (2021), Elucidating local pollution and site representativeness at the Jungfraujoch, Switzerland through parallel aerosol measurements at an adjacent mountain ridge, in
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Say Daniel, Manning Alistair J., Western Luke M., Young Dickon, Wisher Adam, Rigby Matthew, Reimann Stefan, Vollmer Martin K., Maione Michela, Arduini Jgor, Krummel Paul B., Mühle Jens, Harth Christina M., Evans Brendan, Weiss Ray F., Prinn Ronald G., O'Doherty Simon (2021), Global trends and European emissions of tetrafluoromethane (CF4), hexafluoroethane (C2F6) and octafluoropropane (C3F8), in
Atmospheric Chemistry and Physics, 21(3), 2149-2164.
Yver-Kwok Camille, Philippon Carole, Bergamaschi Peter, Biermann Tobias, Calzolari Francescopiero, Chen Huilin, Conil Sebastien, Cristofanelli Paolo, Delmotte Marc, Hatakka Juha, Heliasz Michal, Hermansen Ove, Komínková Kateřina, Kubistin Dagmar, Kumps Nicolas, Laurent Olivier, Laurila Tuomas, Lehner Irene, Levula Janne, Lindauer Matthias, Lopez Morgan, Mammarella Ivan, Manca Giovanni, Marklund Per, et al. (2021), Evaluation and optimization of ICOS atmosphere station data as part of the labeling process, in
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Pastorello Gilberto, Trotta Carlo, Canfora Eleonora, Chu Housen, Christianson Danielle, Cheah You-Wei, Poindexter Cristina, Chen Jiquan, Elbashandy Abdelrahman, Humphrey Marty, Isaac Peter, Polidori Diego, Reichstein Markus, Ribeca Alessio, van Ingen Catharine, Vuichard Nicolas, Zhang Leiming, Amiro Brian, Ammann Christof, Arain M. Altaf, Ardö Jonas, Arkebauer Timothy, Arndt Stefan K., Arriga Nicola, et al. (2020), The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data, in
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Ibraim Erkan, Wolf Benjamin, Harris Eliza, Gasche Rainer, Wei Jing, Yu Longfei, Kiese Ralf, Eggleston Sarah, Butterbach-Bahl Klaus, Zeeman Matthias, Tuzson Béla, Emmenegger Lukas, Six Johan, Henne Stephan, Mohn Joachim (2019), Attribution of N 2 O sources in a grassland soil with laser spectroscopy based isotopocule analysis, in
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Peaucelle Marc, Bacour Cédric, Ciais Philippe, Vuichard Nicolas, Kuppel Sylvain, Peñuelas Josep, Belelli Marchesini Luca, Blanken Peter D., Buchmann Nina, Chen Jiquan, Delpierre Nicolas, Desai Ankur R., Dufrene Eric, Gianelle Damiano, Gimeno‐Colera Cristina, Gruening Carsten, Helfter Carole, Hörtnagl Lukas, Ibrom Andreas, Joffre Richard, Kato Tomomichi, Kolb Thomas E., Law Beverly, Lindroth Anders, et al. (2019), Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model, in
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Gielen Bert, Acosta Manuel, Altimir Nuria, Buchmann Nina, Cescatti Alessandro, Ceschia Eric, Fleck Stefan, Hörtnagl Lukas, Klumpp Katja, Kolari Pasi, Lohila Annalea, Loustau Denis, Marańon-Jimenez Sara, Manise Tanguy, Matteucci Giorgio, Merbold Lutz, Metzger Christine, Moureaux Christine, Montagnani Leonardo, Nilsson Mats B., Osborne Bruce, Papale Dario, Pavelka Marian, Saunders Matthew, et al. (2018), Ancillary vegetation measurements at ICOS ecosystem stations, in
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Hufkens Koen, Filippa Gianluca, Cremonese Edoardo, Migliavacca Mirco, D’Odorico Petra, Peichl Matthias, Gielen Bert, Hörtnagl Lukas, Soudani Kamel, Papale Dario, Rebmann Corinna, Brown Tim, Wingate Lisa (2018), Assimilating phenology datasets automatically across ICOS ecosystem stations, in
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ICOS Atmospheric Greenhouse Gas Mole Fractions of CO2, CH4, CO, 14CO2 and Meteorological Observations 2016-2018, final quality controlled Level 2 data
Author |
Colomb, A; Conil, S; Delmotte, M; Heliasz, O; Hermannsen, O; Holst, J; Keronen, P; Kominkova, K; Kubistin, D; Laurent, O; Lehner, I; Levula, J; Lindauer, M; Lunder, C; Lund Myhre, C; Marek, M; Marklund, P; Mölder, M; Ottosson Löfvenius, M; Pichon, J-M; Plass-Dûlmer, C; Ramonet, M; Schumacher, M; Steinbacher, M; Vitkova, G; Weyrauch, D; Yver-Kwok, C |
Publication date |
24.08.2018 |
Persistent Identifier (PID) |
doi:10.18160/rhkc-vp22 |
Repository |
ICOS Carbon Portal
|
Abstract |
The first full Level 2 (final quality controlled observational) data from the atmospheric network has been released on 24 August 2018 by the ICOS Atmosphere Thematic Center. The data concerns the stations Gartow, Hohenpeißenberg, Hyltemossa, Jungfraujoch, Křešín u Pacova, Norunda, OPE, Puy de Dome, SMEAR, Svartberget, and Zeppelin Observatory.Carbon Portal minted a DOI for the complete collection of this release that contains the final quality controlled hourly averaged data for the mole fractions of CO2, CO and CH4 and meteorological observations measured at the relevant vertical levels of the measurements stations, and where available 14C in CO2 in two-weekly integrated samples, for the years 2016-2018.
Author |
ICOS RI, |
Publication date |
01.08.2019 |
Persistent Identifier (PID) |
https://doi.org/10.18160/CE2R-CC91 |
Repository |
ICOS ERIC - Carbon Portal
|
Abstract |
2019-1 release containing data from the atmospheric network of ICOS Research Infrastructure for 19 stations and 49 vertical levels at Gartow, Hohenpeißenberg, Hyltemossa, Ispra, Jungfraujoch, Křešín u Pacova, Lindenberg, Lutjewad, Monte Cimone, Norunda, OPE, Pallas, Puy de Dome, SMEAR-II, Svartberget, Torfhaus, Trainou, Utö and Zeppelin Observatory. This collection contains the final quality controlled hourly averaged data for the mole fractions of CO2, CH4, CO and meteorological observations measured at the relevant vertical levels of the measurements stations, and where available 14C in CO2 in two-weekly integrated samples, for the period September 2015-April 2019. All stations follow the ICOS Atmospheric Station specification V1.3 (https://doi.org/10.18160/SDW6-BX90) and are certified as ICOS atmospheric stations Class I or II. Data processing has been performed as described in Hazan et al., 2016 (https://doi.org/10.5194/amt-9-4719-2016).
Author |
Drought 2018 Team,; ICOS ATC, |
Publication date |
11.03.2020 |
Persistent Identifier (PID) |
https://doi.org/10.18160/ERE9-9D85 |
Repository |
ICOS ERIC - Carbon Portal
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Abstract |
Atmospheric Greenhouse Gas Mole Fractions of CO2 collected by the Drought-2018 team, covering the period 1972-2018. Final quality controlled Level 2 data. During the most recent period, a selected set of stations, after being labelled as ICOS stations, follow the ICOS Atmospheric Station specification V1.3. Measurements and data processing for all time series is described in the paper below. All concentrations are calibrated to the WMO X2007 CO2 mole fraction scale in µmole/mole (ppm).
Author |
Drought 2018 Team,; ICOS ETC, |
Publication date |
11.03.2020 |
Persistent Identifier (PID) |
https://doi.org/10.18160/YVR0-4898 |
Repository |
ICOS ERIC - Carbon Portal
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Abstract |
This is the release of the observational data product for eddy covariance fluxes at 52 stations in the ecosystem domain, part of them outside the ICOS network, from the Drought-2018 team and covering the period 1989-2018. The data are in the standard format used for the ICOS L2 ecosystem products and also used by other regional networks like AmeriFlux. The processing has been done using the ONEFlux processing pipeline (https://github.com/icos-etc/ONEFlux) and is fully compliant and integrable with the FLUXNET2015 release (https://fluxnet.fluxdata.org/) and other datasets processed with the same pipeline (AmeriFlux, ICOS L2)
Author |
ICOS RI, |
Publication date |
01.05.2021 |
Persistent Identifier (PID) |
https://doi.org/10.18160/wjy7-5d06 |
Repository |
ICOS ERIC - Carbon Portal
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Abstract |
This 2021-1 release containing data from the atmospheric network of ICOS Research Infrastructure for 26 stations and 67 vertical levels at Gartow, Helgoland, Hohenpeißenberg, Hyltemossa, Ispra, Jungfraujoch, Karlsruhe (KIT), Křešín u Pacova, La Réunion, Lampedusa, Lindenberg, Lutjewad, Monte Cimone, Norunda, OPE, Ochsenkopf, Pallas, Puy de Dome, Saclay, SMEAR-II Hyytiälä, Steinkimmen, Svartberget, Torfhaus, Trainou, Utö - Baltic Sea and Zeppelin Observatory. This collection contains the final quality controlled hourly averaged data for the mole fractions of CO2, CH4, N2O, CO and meteorological observations measured at the relevant vertical levels of the measurements stations, and where available 14C in CO2 in two-weekly integrated samples, for the period September 2015-January 2021. All stations follow the ICOS Atmospheric Station specification V2.0 (doi:10.18160/GK28-2188) and are certified as ICOS atmospheric stations Class I or II. Data processing has been performed as described in Hazan et al., 2016 (doi:10.5194/amt-9-4719-2016).
Author |
ICOS RI, |
Publication date |
06.05.2021 |
Persistent Identifier (PID) |
https://doi.org/10.18160/fzmy-pg92 |
Repository |
ICOS ERIC - Carbon Portal
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Abstract |
This is the 2021-1 release of the ICOS final quality data product for eddy covariance fluxes and meteorological observations at sixteen labelled ICOS stations in the ecosystem domain. The archives contain more detailed description of the different data files contained in the archives. Measurements have been collected using the following instructions:ICOS Ecosystem Instructions for Air Meteorological Measurements (TA, RH, PA, WS, WD), https://doi.org/10.18160/NHEG-4KWWICOS Ecosystem Instructions for Turbulent Flux Measurements of CO2, Energy and Momentum, https://doi.org/10.18160/QWV4-639G
Author |
FLUXNET, |
Publication date |
01.01.2021 |
Persistent Identifier (PID) |
https://doi.org/10.5194/essd-2020-307 |
Repository |
FLUXNET
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Abstract |
FLUXNET-CH4 is an initiative led by the Global Carbon Project, in close partnership with AmeriFlux and EuroFlux, to compile a global database of eddy covariance (EC) methane flux measurements. Data are standardized, post-processed (i.e., partitioned and gap-filled), and released as FLUXNET-CH4 (Delwiche et al. 2021, Knox et al. 2019). FLUXNET-CH4 Version 1.0 includes data from 81 sites, representing freshwater, coastal, upland, natural, and managed ecosystems. The near continuous, high-frequency nature of EC measurements offers significant promise for improving our understanding of ecosystem-scale CH4 flux dynamics. FLUXNET-CH4 exists thanks to the hard work of the site teams who collected these data and their willingness to participate in the FLUXNET-CH4 effort. Please refer to the Data Policy page for data usage and acknowledgement requirements. Funding for the FLUXNET-CH4 initiative was provided by the Gordon and Betty Moore Foundation and the USGS Powell Center.
Author |
FLUXNET, |
Publication date |
09.07.2020 |
Persistent Identifier (PID) |
https://doi.org/10.1038/s41597-020-0534-3 |
Repository |
FLUXNET
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Abstract |
The FLUXNET2015 Dataset includes data collected at sites from multiple regional flux networks. The preparation of this FLUXNET Dataset has been possible thanks only to the efforts of many scientists and technicians around the world and the coordination among teams from regional networks. The previous versions of FLUXNET Dataset releases are the FLUXNET Marconi Dataset (2000) and the FLUXNET LaThuile Dataset (2007). The FLUXNET2015 Dataset includes several improvements to the data quality control protocols and the data processing pipeline. Examples include close interaction with tower teams to improve data quality, new methods for uncertainty quantification, use of reanalysis data to fill long gaps of micrometeorological variable records, among others (see the data processing pipeline page for details). Refer to the Data Policy page for data usage and acknowledgement requirements.
ICOS-CH, Phase 2, is the Swiss contribution to the Integrated Carbon Observation System Research Infrastructure (ICOS RI) which entered into its operational phase end of 2015 (as Integrated Carbon Observation System European Research Infrastructure Consortium, ICOS ERIC). Overarching goals of ICOS RI are to quantify and to understand the greenhouse gas (GHG) balance of the European continent and adjacent regions based on highly standardized measurements (i.e., sensors and protocols) in the atmosphere, in terrestrial ecosystems and in the ocean, and to distribute data and data products to stakeholders and user communities. With the ICOS-CH network, i.e. ETH Zurich (National Focal Point), Empa, WSL, University of Bern, University of Basel and MeteoSwiss, Switzerland participates in ICOS RI since its beginning in 2013. Two Class 1 sites had been chosen due to their science history: one ecosystem site (Davos, DAV) and one atmospheric site (Jungfraujoch, JFJ). During Phase 1 (2013-2017), both sites have been upgraded according to ICOS RI requirements, when specifications and protocols were available, while basic measurements continued. At DAV, a new data acquisition system, near-real time data transfer and data processing were developed, tested and implemented. 20 years of data were reprocessed and made openly available. Five large automated chambers to measure forest floor GHG fluxes were built and installed in the field, one of them tested for operation during winter. Sensors at the tower were renewed, new equipment for net ecosystem CH4 and N2O fluxes was installed and runs - compliant with ICOS - since end of 2015. At JFJ, ICOS conforming continuous GHG analysers were installed and underwent the required testing. The ICOS mobile lab was installed at JFJ for six weeks to audit setup and instrument performance. Automated data processing was implemented to allow direct data transfer to the central database. A ceilometer to determine the planetary boundary layer (PBL) height above JFJ was installed at the Kleine Scheidegg, approximately 5 km north and 1.5 km below JFJ, and extensive algorithms for PBL detection were developed and validated. Flask sampling continued. Both sites were among the first within ICOS RI to enter the labelling process in 2016 (Step 1 successfully finished, Step 2 on-going). Swiss staff participated in training courses on ICOS quality assurance procedures.In Phase 2 (2017-2020), the Swiss contribution to ICOS RI will be coordinated within Subproject A, also responsible for communication within and beyond ICOS-CH. The site infrastructure needs to be completed according to the finalized ICOS RI protocols (in Subprojects B and C for DAV and JFJ, respectively). Then, both sites need to be maintained at Class 1 level, i.e., with comprehensive variable sets, regular measurement campaigns, very high data quality requirements, fast response/repair times when sensors should fail, and near real-time data provision to ICOS RI. This requires continuous data quality assurance and quality control, ensured by well-trained technical staff and data scientists. Thus, ICOS-CH provides a unique opportunity for scientists to contribute to excellent research and scientific innovations based on high precision, continuous, open-access data, a comprehensive set of measurements, an excellent infrastructure as well as on-site validations for research related to Earth system science.