The eddy covariance is a micrometeorological technique which allows for the estimation of the net... more The eddy covariance is a micrometeorological technique which allows for the estimation of the net fluxes of gases and energy between the atmosphere and an ecosystem. To estimate the net balance, the required input data are high frequency measurements (e.g. 10 or 20 Hz) of wind speed and gas concentration or amount of energy, plus lower frequency measurements (e.g. 1s to 30min ) of some meteorological variables and gas concentration vertical gradients below the measuring point. From these measurements, through a set of processing algorithms and corrections, continuous time series of fluxes are obtained which can be used to, e.g., estimate the net ecosystem exchange, as input/validation for modelling purposes, or for eco-physiological analyses. Although the fundamental processing steps and corrections are well established, there is still a discrete margin of subjectivity in the choice of specific operations and corrections which leads to different results even starting from the same ...
Public release of the observational data product for eddy covariance fluxes at Rajec, covering th... more Public release of the observational data product for eddy covariance fluxes at Rajec, covering the period 2012-2020
Public release of the observational data product for eddy covariance fluxes at Lavarone, covering... more Public release of the observational data product for eddy covariance fluxes at Lavarone, covering the period 2003-2020
Public release of the observational data product for eddy covariance fluxes at Toulouse, covering... more Public release of the observational data product for eddy covariance fluxes at Toulouse, covering the period 2018-2020
Public release of the observational data product for eddy covariance fluxes at Kenttarova, coveri... more Public release of the observational data product for eddy covariance fluxes at Kenttarova, covering the period 2018-2020
Public release of the observational data product for eddy covariance fluxes at Alp Weissenstein, ... more Public release of the observational data product for eddy covariance fluxes at Alp Weissenstein, covering the period 2006-2020
Public release of the observational data product for eddy covariance fluxes at Dorinne, covering ... more Public release of the observational data product for eddy covariance fluxes at Dorinne, covering the period 2011-2020
FLUXNET15, the latest update of the longest global record of ecosystem carbon, water, and energy ... more FLUXNET15, the latest update of the longest global record of ecosystem carbon, water, and energy fluxes, features improved data quality, new data products, and more open data sharing policies.
Public release of the observational data product for eddy covariance fluxes at Laegern, covering ... more Public release of the observational data product for eddy covariance fluxes at Laegern, covering the period 2004-2020
This is the release of the observational data product for eddy covariance fluxes at 73 stations i... more This is the release of the observational data product for eddy covariance fluxes at 73 stations in the ecosystem domain, part of them outside the ICOS network, covering the period 1989-2020. 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).
Public release of the observational data product for eddy covariance fluxes at Selhausen Juelich,... more Public release of the observational data product for eddy covariance fluxes at Selhausen Juelich, covering the period 2011-2020
Public release of the observational data product for eddy covariance fluxes at Vielsalm, covering... more Public release of the observational data product for eddy covariance fluxes at Vielsalm, covering the period 1996-2020
The ICOS BADM (Biological, Ancillary, Disturbance and Metadata) is the system used to submit non-... more The ICOS BADM (Biological, Ancillary, Disturbance and Metadata) is the system used to submit non-continuous data, metadata and information to the ICOS ETC. It is based on an international system agreed across the flux networks globally (in particular between AmeriFlux and the European Database) but adapted to the specific needs of ICOS. In this document the general structure of the ICOS BADM, the different type of variables and the options are described. Then instructions on how to fill in an ICOS BADM are provided.
This document describes the reporting of the ICOS Ecosystem station team and how the communicatio... more This document describes the reporting of the ICOS Ecosystem station team and how the communication between ETC and different station team members will be organized. The aim is to have a clear definition of the people working at the station in order to optimize the exchange of information. The document is structured in six different sections with the aim to facilitate the use and application: - Station Team Roles, where it is described which are the different roles and responsibilities that the ETC accept in the station personnel description - Communication strategy, where the email communication system from ETC to station team members is described, including the different type of messages - Team reporting, where the variables used to describe the team are presented
The "Station description and historical information" instruction document contains guid... more The "Station description and historical information" instruction document contains guidelines to acquire and report all the descriptive information required to characterize the station at the beginning of the ICOS period. Such information concerns mainly the station location and organization, the average climate conditions (temperature, precipitation, wind direction, radiation), and the history of disturbances and management. The document is structured in three different sections: - Measurements: in this section it is described how and where collect the needed information - Submission: it is the section related to the data preparation and submission to the ETC. It includes the list of all the parameters, the correct formatting and how to submit them to the database. It is linked to the BADM system, used to submit the metadata (and not continuous measurements) - Processing: in this section the station description information that are calculated and extracted by the ETC are ...
2017 IEEE 13th International Conference on e-Science (e-Science), 2017
Data quality control is one of the most time consuming activities within Research Infrastructures... more Data quality control is one of the most time consuming activities within Research Infrastructures (RIs), especially when involving observational data and multiple data providers. In this work we report on our ongoing development of data rogues, a scalable approach to manage data quality issues for observational data within RIs. The motivation for this work started with the creation of the FLUXNET2015 dataset, which includes carbon, water, and energy fluxes plus micrometeorological and ancillary data measured in over 200 sites around the world. To create an uniform dataset, including derived data products, extensive work on data quality control was needed. The unpredictable nature of observational data quality issues makes the automation of data quality control inherently difficult. Developed based on this experience, the data rogues methodology allows for increased automation of quality control activities by systematically identifying, cataloging, and documenting implementations of solutions to data issues. We believe this methodology can be extended and applied to others domains and types of data, making the automation of data quality control a more tractable problem.
Eddy covariance technique to measure CO 2 , water and energy fluxes between biosphere and atmosph... more Eddy covariance technique to measure CO 2 , water and energy fluxes between biosphere and atmosphere is widely spread and used in various regional networks. Currently more than 250 eddy covariance sites are active around the world measuring carbon exchange at high temporal resolution for different biomes and climatic conditions. In this paper a new standardized set of corrections is introduced and the uncertainties associated with these corrections are assessed for eight different forest sites in Europe with a total of 12 yearly datasets. The uncertainties introduced on the two components GPP (Gross Primary Production) and TER (Terrestrial Ecosystem Respiration) are also discussed and a quantitative analysis presented. Through a factorial analysis we find that generally, uncertainties by different corrections are additive without interactions and that the heuristic u *-correction introduces the largest uncertainty. The results show that a standardized data processing is needed for an effective comparison across biomes and for underpinning interannual variability. The methodology presented in this paper has also been integrated in the European database of the eddy covariance measurements.
The eddy covariance is a micrometeorological technique which allows for the estimation of the net... more The eddy covariance is a micrometeorological technique which allows for the estimation of the net fluxes of gases and energy between the atmosphere and an ecosystem. To estimate the net balance, the required input data are high frequency measurements (e.g. 10 or 20 Hz) of wind speed and gas concentration or amount of energy, plus lower frequency measurements (e.g. 1s to 30min ) of some meteorological variables and gas concentration vertical gradients below the measuring point. From these measurements, through a set of processing algorithms and corrections, continuous time series of fluxes are obtained which can be used to, e.g., estimate the net ecosystem exchange, as input/validation for modelling purposes, or for eco-physiological analyses. Although the fundamental processing steps and corrections are well established, there is still a discrete margin of subjectivity in the choice of specific operations and corrections which leads to different results even starting from the same ...
Public release of the observational data product for eddy covariance fluxes at Rajec, covering th... more Public release of the observational data product for eddy covariance fluxes at Rajec, covering the period 2012-2020
Public release of the observational data product for eddy covariance fluxes at Lavarone, covering... more Public release of the observational data product for eddy covariance fluxes at Lavarone, covering the period 2003-2020
Public release of the observational data product for eddy covariance fluxes at Toulouse, covering... more Public release of the observational data product for eddy covariance fluxes at Toulouse, covering the period 2018-2020
Public release of the observational data product for eddy covariance fluxes at Kenttarova, coveri... more Public release of the observational data product for eddy covariance fluxes at Kenttarova, covering the period 2018-2020
Public release of the observational data product for eddy covariance fluxes at Alp Weissenstein, ... more Public release of the observational data product for eddy covariance fluxes at Alp Weissenstein, covering the period 2006-2020
Public release of the observational data product for eddy covariance fluxes at Dorinne, covering ... more Public release of the observational data product for eddy covariance fluxes at Dorinne, covering the period 2011-2020
FLUXNET15, the latest update of the longest global record of ecosystem carbon, water, and energy ... more FLUXNET15, the latest update of the longest global record of ecosystem carbon, water, and energy fluxes, features improved data quality, new data products, and more open data sharing policies.
Public release of the observational data product for eddy covariance fluxes at Laegern, covering ... more Public release of the observational data product for eddy covariance fluxes at Laegern, covering the period 2004-2020
This is the release of the observational data product for eddy covariance fluxes at 73 stations i... more This is the release of the observational data product for eddy covariance fluxes at 73 stations in the ecosystem domain, part of them outside the ICOS network, covering the period 1989-2020. 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).
Public release of the observational data product for eddy covariance fluxes at Selhausen Juelich,... more Public release of the observational data product for eddy covariance fluxes at Selhausen Juelich, covering the period 2011-2020
Public release of the observational data product for eddy covariance fluxes at Vielsalm, covering... more Public release of the observational data product for eddy covariance fluxes at Vielsalm, covering the period 1996-2020
The ICOS BADM (Biological, Ancillary, Disturbance and Metadata) is the system used to submit non-... more The ICOS BADM (Biological, Ancillary, Disturbance and Metadata) is the system used to submit non-continuous data, metadata and information to the ICOS ETC. It is based on an international system agreed across the flux networks globally (in particular between AmeriFlux and the European Database) but adapted to the specific needs of ICOS. In this document the general structure of the ICOS BADM, the different type of variables and the options are described. Then instructions on how to fill in an ICOS BADM are provided.
This document describes the reporting of the ICOS Ecosystem station team and how the communicatio... more This document describes the reporting of the ICOS Ecosystem station team and how the communication between ETC and different station team members will be organized. The aim is to have a clear definition of the people working at the station in order to optimize the exchange of information. The document is structured in six different sections with the aim to facilitate the use and application: - Station Team Roles, where it is described which are the different roles and responsibilities that the ETC accept in the station personnel description - Communication strategy, where the email communication system from ETC to station team members is described, including the different type of messages - Team reporting, where the variables used to describe the team are presented
The "Station description and historical information" instruction document contains guid... more The "Station description and historical information" instruction document contains guidelines to acquire and report all the descriptive information required to characterize the station at the beginning of the ICOS period. Such information concerns mainly the station location and organization, the average climate conditions (temperature, precipitation, wind direction, radiation), and the history of disturbances and management. The document is structured in three different sections: - Measurements: in this section it is described how and where collect the needed information - Submission: it is the section related to the data preparation and submission to the ETC. It includes the list of all the parameters, the correct formatting and how to submit them to the database. It is linked to the BADM system, used to submit the metadata (and not continuous measurements) - Processing: in this section the station description information that are calculated and extracted by the ETC are ...
2017 IEEE 13th International Conference on e-Science (e-Science), 2017
Data quality control is one of the most time consuming activities within Research Infrastructures... more Data quality control is one of the most time consuming activities within Research Infrastructures (RIs), especially when involving observational data and multiple data providers. In this work we report on our ongoing development of data rogues, a scalable approach to manage data quality issues for observational data within RIs. The motivation for this work started with the creation of the FLUXNET2015 dataset, which includes carbon, water, and energy fluxes plus micrometeorological and ancillary data measured in over 200 sites around the world. To create an uniform dataset, including derived data products, extensive work on data quality control was needed. The unpredictable nature of observational data quality issues makes the automation of data quality control inherently difficult. Developed based on this experience, the data rogues methodology allows for increased automation of quality control activities by systematically identifying, cataloging, and documenting implementations of solutions to data issues. We believe this methodology can be extended and applied to others domains and types of data, making the automation of data quality control a more tractable problem.
Eddy covariance technique to measure CO 2 , water and energy fluxes between biosphere and atmosph... more Eddy covariance technique to measure CO 2 , water and energy fluxes between biosphere and atmosphere is widely spread and used in various regional networks. Currently more than 250 eddy covariance sites are active around the world measuring carbon exchange at high temporal resolution for different biomes and climatic conditions. In this paper a new standardized set of corrections is introduced and the uncertainties associated with these corrections are assessed for eight different forest sites in Europe with a total of 12 yearly datasets. The uncertainties introduced on the two components GPP (Gross Primary Production) and TER (Terrestrial Ecosystem Respiration) are also discussed and a quantitative analysis presented. Through a factorial analysis we find that generally, uncertainties by different corrections are additive without interactions and that the heuristic u *-correction introduces the largest uncertainty. The results show that a standardized data processing is needed for an effective comparison across biomes and for underpinning interannual variability. The methodology presented in this paper has also been integrated in the European database of the eddy covariance measurements.
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Papers by Eleonora Canfora