This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 



ESA Greenhouse Gases Climate Change Initiative (GHG CCI): Merged CO2 Level 2 Data Product (CO2_EMMA), version 2.1, generated with the EMMA algorithm

Latest Data Update: 2016-04-05
Status: Superseded
Online Status: ONLINE
Publication State: Published
Publication Date: 2016-04-11
Download Stats: last 12 months
Dataset Size: 3.53K Files | 407MB

This dataset has been superseded. See Latest Version here

Part of the European Space Agency's (ESA) Greenhouse Gases (GHG), the XCO2 EMMA product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced by applying the ensemble median algorithm EMMA to level 2 data of 7 XCO2 retrievals from the Japanese Greenhouse gases Observing Satellite (GOSAT) and the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. This is therefore a merged SCIAMACHY and GOSAT XCO2 Level 2 product, primarily used as a comparison tool to assess the level of agreement / disagreement of the various input products (for model-independent global comparison, i.e. for comparisons not restricted to TCCON validation sites and independent of global model data). This version of the product covers 4 years.

For further information on the product and the EMMA algorithm please see the EMMA website, the GHG-CCI Data Products webpage or the Product Validation and Intercomparison Report (PVIR) in the documentation section.

The GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. To register, please use the following link:

Citable as:  ESA CCI GHG project team (2016): ESA Greenhouse Gases Climate Change Initiative (GHG CCI): Merged CO2 Level 2 Data Product (CO2_EMMA), version 2.1, generated with the EMMA algorithm. Centre for Environmental Data Analysis, date of citation.
Abbreviation: Not defined
Keywords: ESA, GHG, CCI, CH4, SCIAMACHY, WFMD, Greenhouse Gas


Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data were processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project

File Format:
Data are in NetCDF format

Process overview

  • units: degree
  • long_name: Sensor zenith angle
  • standard_name: sensor_zenith_angle
  • var_id: sensor_zenith_angle
  • units: 1e-6
  • long_name: a priori dry-air mole fraction profile of atmospheric carbon dioxide
  • var_id: co2_profile_apriori
  • long_name: l2 processor id
  • var_id: median_processor_id
  • units: 1
  • long_name: normalized column averaging kernel
  • var_id: xco2_averaging_kernel
  • units: hPa
  • long_name: pressure levels
  • var_id: pressure_levels
  • units: 1
  • long_name: pressure weight
  • var_id: pressure_weight
  • long_name: quality flag
  • var_id: xco2_quality_flag
  • units: degree
  • long_name: solar zenith angle
  • var_id: solar_zenith_angle
  • standard_name: solar_zenith_angle
  • units: 1e-6
  • long_name: xco2 median uncertainty
  • var_id: median_uncertainty
  • units: 1e-6
  • long_name: xco2 median uncertainty ex
  • var_id: median_uncertainty_ex
  • units: 1e-6
  • long_name: xco2 median uncertainty se
  • var_id: median_uncertainty_se

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: latitude
  • long_name: latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: longitude
  • long_name: longitude
  • long_name: time
  • standard_name: time
  • var_id: time
Temporal Range
Start time:
End time:
Geographic Extent