299 Works

Global anthropogenic CO2 emissions for 2007 based on EDGARv4.3 and BP statistics 2016

Ute Karstens
Global anthropogenic CO2 emissions for 2007 based on EDGARv4.3, fuel type and category specific emissions provided by Greet Janssens-Maenhout (EU-JRC), BP statistics 2016 (http://www.bp.com/content/dam/bp/excel/energy-economics/statistical-review-2016/bp-statistical-review-of-world-energy-2016-workbook.xlsx), temporal variations based on MACC-TNO (https://gmes-atmosphere.eu/documents/deliverables/d-emis/MACC_TNO_del_1_3_v2.pdf), temporal extrapolation and disaggregation described in COFFEE (Steinbach et al. 2011).

Ensemble of inverse modelling results of European CH4 emissions during 2006-2012

& Peter Bergamaschi
This dataset consists of inverse modelling (top down) estimates of European methane (CH4) emissions for 2006– 2012 based on a new quality-controlled and harmonised in situ data set from 18 European atmospheric monitoring stations (http://doi.org/10.18160/VNX5-QXCB) as part of the FP7 InGOS project (http://www.ingos-infrastructure.eu, Grant Agreement Number 284274). Results of an ensemble of seven inverse models are provided. For each model four inversion experiments were performed to investigate the impact of different sets of stations and...

ICOS Ecosystem Instructions for Station Team Description

Dario Papale, Eleonora Canfora & Diego Polidori
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...

ICOS Ecosystem Instructions for Air Meteorological Measurements (TA, RH, PA, WS, WD)

Simone Sabbatini, Giacomo Nicolini, Maarten Op de Beeck & Dario Papale
Several meteorological variables need to be measured at ICOS monitoring stations in order to characterize them, analyse the drivers explaining GHG fluxes, and properly calculate, partition and aggregate these fluxes and their seasonal budgets from eddy covariance (EC) measurements, the storage profile, automatic chambers, etc. This Instruction document deals with all the relevant air characteristics to be measured at ICOS stations, i.e. air temperature (TA), air relative humidity (RH), air pressure (PA), wind speed (WS)...

ICOS Ecosystem Instructions for Ancillary Vegetation Measurements in Mires

Maarten Op de Beeck, Simone Sabbatini & Dario Papale
This Instruction document describes the measurement of Green Area Index (GAI) and Aboveground Biomass (AGB) at ICOS ecosystem stations in mires. The focus of these Instructions is skewed towards rather sparsely vegetated fen and bog mires, as found in boreal and subarctic Europe and with vegetation primarily made up of mosses, herbaceous vascular plants, and dwarf shrubs. Only measurements on mire vegetation comprising one or more of these three plant functional types (PFTs) are hence...

ICOS Ecosystem Instructions for Turbulent Flux Measurements of CO2, Energy and Momentum

Simone Sabbatini & Dario Papale
The eddy covariance (EC) technique allows the calculation of the turbulent fluxes of momentum, energy and matter. CO2, energy and momentum fluxes are covered by this Instruction document. The main variables to be measured are horizontal and vertical wind speed, wind direction, CO2 and H2O density, and sonic temperature. Other variables used for the calculation of the fluxes but not directly linked to the EC measurement stage (e.g. air temperature and pressure), are included in...

Mask of Amazon region

Ingrid T. Van Der Laan-Luijkx
This file contains information on the region selection for the Amazon. It is the mask of the Amazon region on 1x1 degrees as used in van der Laan-Luijkx et al. (2015), https://doi.org/10.1002/2014GB005082.

ICOS Atmosphere Level 2 data, Gartow, release 2019-1

Dagmar Kubistin
ICOS Atmospheric Greenhouse Gas Mole Fractions of CO2, CH4, CO and Meteorological Observations, period 2016-05-10 to 2019-04-30, station Gartow, final quality controlled Level 2 data, release 2019-1. All ICOS stations follow the ICOS Atmospheric Station specification V1.3 (https://www.icos-ri.eu/fetch/ba12290c-3714-4dd5-a9f0-c431b9900ad1;1.0) 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).

ICOS Atmosphere Level 2 data, SMEAR II-ICOS Hyytiälä, release 2019-1

Ivan Mammarella
ICOS Atmospheric Greenhouse Gas Mole Fractions of CO2, CH4, CO and Meteorological Observations, period 2016-08-25 to 2019-04-30, SMEAR II-ICOS Hyytiälä, final quality controlled Level 2 data, release 2019-1. All ICOS stations follow the ICOS Atmospheric Station specification V1.3 (https://www.icos-ri.eu/fetch/ba12290c-3714-4dd5-a9f0-c431b9900ad1;1.0) 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).

ICOS Atmosphere Level 2 data, Svartberget, release 2019-1

Per Marklund & Mikaell Ottosson-Löfvenius
ICOS Atmospheric Greenhouse Gas Mole Fractions of CO2, CH4, CO and Meteorological Observations, period 2017-06-01 to 2019-04-30, Svartberget, final quality controlled Level 2 data, release 2019-1. All ICOS stations follow the ICOS Atmospheric Station specification V1.3 (https://www.icos-ri.eu/fetch/ba12290c-3714-4dd5-a9f0-c431b9900ad1;1.0) 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).

Global anthropogenic CO2 emissions for 2006-2019 based on EDGARv4.3 and BP statistics 2016

Ute Karstens
Global anthropogenic CO2 emissions for 2006-2019 based on EDGARv4.3, fuel type and category specific emissions provided by Greet Janssens-Maenhout (EU-JRC), BP statistics 2019 (https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/xlsx/energy-economics/statistical-review/bp-stats-review-2019-all-data.xlsx), temporal variations based on MACC-TNO (Denier van der Gon et al. (2011), TNO report, EU FP7 MACC deliverable report D_D-EMIS_1.3), temporal extrapolation and disaggregation described in COFFEE (Steinbach et al. 2011)

ICOS Atmospheric Greenhouse Gas Mole Fractions of CO2, CH4, CO, 14CO2 and Meteorological Observations September 2015 - April 2019 for 19 stations (49 vertical levels), final quality controlled Level 2 data

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...

Drought-2018 ecosystem eddy covariance flux product from Majadas del Tietar South

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Public release of the observational data product for eddy covariance fluxes at Majadas del Tietar South, covering the period 2014-2018

Output from 3D model for ∆17O(CO₂) used in publication Koren et al. (2019)

Gerbrand Koren
This dataset contains the model output files that were used to produce the figures and the tables included in the publication Koren et al., (2019), Global 3D Simulations of the Triple Oxygen Isotope Signature ∆17O in Atmospheric CO₂, Journal of Geophysical Research: Atmospheres

Ambient atmospheric methane observations from the ICOS/InGOS network 2000-2015

This dataset for historic ambient CH4 mole fractions is an important outcome of the FP7 InGOS project (http://www.ingos-infrastructure.eu, Grant Agreement Number 284274). Data from 17 stations have been reprocessed for the period 2000-2015; in some cases involving re-integration of chromatograms and in all cases re-calibrating the time series using updated assigned values for standard gases and target gases. All data have been brought to the same concentration scale (NOAA-2006A). Data have been flagged for identified...

Drought-2018 ecosystem eddy covariance flux product from Brasschaat

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Public release of the observational data product for eddy covariance fluxes at Brasschaat, covering the period 1996-2018

Drought-2018 ecosystem eddy covariance flux product from Majadas del Tietar North

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Public release of the observational data product for eddy covariance fluxes at Majadas del Tietar North, covering the period 2014-2018

Drought-2018 ecosystem eddy covariance flux product from Siikaneva

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Public release of the observational data product for eddy covariance fluxes at Siikaneva, covering the period 2013-2018

Drought-2018 ecosystem eddy covariance flux product from Hesse

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Public release of the observational data product for eddy covariance fluxes at Hesse, covering the period 2014-2018

Drought-2018 ecosystem eddy covariance flux product from Degero

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Public release of the observational data product for eddy covariance fluxes at Degero, covering the period 2001-2018

Drought-2018 ecosystem eddy covariance flux product from Norunda

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Public release of the observational data product for eddy covariance fluxes at Norunda, covering the period 2014-2018

Drought-2018 ecosystem eddy covariance flux product from Svartberget

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Public release of the observational data product for eddy covariance fluxes at Svartberget, covering the period 2014-2018

ICOS Data Policy

In this document, the general ICOS data policy principles are described. The aim of this data policy is to guarantee a smooth data flow from the ICOS RI National Networks, Central Facilities and Carbon Portal to the users to provide open, easy access to ICOS data and develop user-driven services for user communities (e.g. to scientists, national and international agencies, local authorities, general public). To achieve ICOS RI objectives, General Assembly of the ICOS ERIC...

Uncertainty analysis for calculations of the marine carbonate system for ICOS-Oceans stations

Tobias Steinhoff & Ingunn Skjelvan

ICOS Ocean Station Labelling Step 2

, Ingunn Skjelvan, Roman Battisti, Emil Jeansson, Camilla Landa, Are Olson, Benjamin Pfeil, Anne Rutgersson, Tobias Steinhoff &
The intent of this document is to provide an overview of step 2 of the labelling process of ICOS ocean stations. Section 2 of this document summarises the core variables for each of the station categories: Ship of Opportunity Program (SOOP lines), Repeat Ocean Sections (ROS), Fixed Ocean Stations (FOS), and Marine Flux Towers (MFT). This station type distinction will be maintained throughout the document. Section 3 of this document summarises the required documents to...

Registration Year

  • 2021
    2
  • 2020
    183
  • 2019
    73
  • 2018
    39
  • 2017
    2

Resource Types

  • Dataset
    196
  • Collection
    70
  • Text
    32
  • Interactive Resource
    1

Affiliations

  • German Meteorological Service
    4
  • Lund University
    2
  • Integrated Carbon Observation System
    2
  • Laboratoire des Sciences du Climat et de l'Environnement
    2
  • Finnish Meteorological Institute
    2
  • AGH University of Science and Technology
    1
  • Norwegian Institute for Air Research
    1
  • University of Groningen
    1
  • Joint Research Centre
    1
  • Swedish University of Agricultural Sciences
    1