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Dataset

 

ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged CO2 Merged Product generated with the EMMA algorithm (CO2_EMMA), v2.2

Update Frequency: Not Planned
Latest Data Update: 2017-07-20
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2018-03-19
Download Stats: last 12 months
Dataset Size: 3.89K Files | 465MB
Abstract

The CO2_EMMA dataset comprises of level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2). It has been produced using the ensample median algorithm EMMA to produce a merged SCIAMACHY and GOSAT XCO2 Level 2 product, as part of the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version of the product is v2.2, and forms part of the Climate Research Data Package 4.

The EMMA algorithm has been applied to level 2 data from multiple 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 merged SCIAMACHY and GOSAT XCO2 Level 2 product is 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).

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).

Citable as:  ESA CCI GHG project team (2018): ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged CO2 Merged Product generated with the EMMA algorithm (CO2_EMMA), v2.2. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/9f002827ba7d48f59019fcfd3577a57e
Abbreviation: Not defined
Keywords: ESA, GHG, CCI, CO2, EMMA

Details

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: https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf. 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

Related Documents

 EMMA website
 Product Specification Document Version 3 (PSDv3)
 GHG-CCI Data Products webpage
 Reuter et al, 2013,'A joint effort to deliver satellite retrieved atmospheric CO2 concentrations for surface flux inversions: the ensemble median algorithm EMMA'
 Product User Guide
 Product Validation and Intercomparison Report (PVIRv5)
 ESA CCI Greenhouse Gases project website

Process overview

  • units: 1e-6
  • long_name: 1-sigma uncertainty of the retrieved column-average dry-air mole fraction of atmospheric carbon dioxide
  • var_id: xco2_uncertainty
  • names: 1-sigma uncertainty of the retrieved column-average dry-air mole fraction of atmospheric carbon dioxide
  • units: degree
  • long_name: Sensor zenith angle
  • standard_name: sensor_zenith_angle
  • var_id: sensor_zenith_angle
  • names: Sensor zenith angle, sensor_zenith_angle
  • units: 1e-6
  • long_name: a priori dry-air mole fraction profile of atmospheric carbon dioxide
  • var_id: co2_profile_apriori
  • names: a priori dry-air mole fraction profile of atmospheric carbon dioxide
  • units: 1e-6
  • var_id: xco2
  • standard_name: dry_atmosphere_mole_fraction_of_carbon_dioxide
  • long_name: column-average dry-air mole fraction of atmospheric carbon dioxide in dry air
  • names: dry_atmosphere_mole_fraction_of_carbon_dioxide, column-average dry-air mole fraction of atmospheric carbon dioxide in dry air
  • long_name: l2 processor id
  • var_id: median_processor_id
  • names: l2 processor id
  • units: 1
  • long_name: normalized column averaging kernel
  • var_id: xco2_averaging_kernel
  • names: normalized column averaging kernel
  • units: hPa
  • long_name: pressure levels
  • var_id: pressure_levels
  • names: pressure levels
  • units: 1
  • long_name: pressure weight
  • var_id: pressure_weight
  • names: pressure weight
  • long_name: quality flag
  • var_id: xco2_quality_flag
  • names: quality flag
  • units: degree
  • long_name: solar zenith angle
  • var_id: solar_zenith_angle
  • standard_name: solar_zenith_angle
  • names: solar zenith angle, solar_zenith_angle
  • units: 1e-6
  • long_name: xco2 median uncertainty
  • var_id: median_uncertainty
  • names: xco2 median uncertainty
  • units: 1e-6
  • long_name: xco2 median uncertainty ex
  • var_id: median_uncertainty_ex
  • names: xco2 median uncertainty ex
  • units: 1e-6
  • long_name: xco2 median uncertainty se
  • var_id: median_uncertainty_se
  • names: xco2 median uncertainty se

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: latitude
  • long_name: latitude
  • names: latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: longitude
  • long_name: longitude
  • names: longitude
  • long_name: time
  • standard_name: time
  • var_id: time
  • names: time
Coverage
Temporal Range
Start time:
2009-05-31T23:00:00
End time:
2014-05-30T22:59:59
Geographic Extent

 
90.0000°
  
-180.0000°
  
180.0000°
 
-90.0000°
  
Related parties
Authors (1)
Publishers (1)