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): GOSAT CO2 Level 2 Data Product (CO2_GOS_SRFP) version 2.3.7, generated with the SRFP (RemoTeC) algorithm

Update Frequency: Unknown
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Status: Superseded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: 2.02K Files | 958MB

This dataset has been superseded. See Latest Version here

Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and Climate Research Data Package Number 2 (CRDP#3), the XCO2 GOSAT product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). In this case, the RemoTeC Full Physics (SRFP) algorithm, jointly developed at SRON and KIT, has been applied to the TANSO-FTS data. A second product, generated using the OCFP (University of Leicester Full Physics) algorithm, is also available.

The data product is stored per day in a single NetCDF file. Retrieval results are provided for the individual GOSAT spatial footprints, no averaging having been applied. The product file contains the key standard products, i.e. the retrieved column averaged dry air mixing ratio XCO2 with bias correction, averaging kernels and quality flags, as well as secondary products specific for the RemoTeC algorithm. For further information, including details of the SRFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Document 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): GOSAT CO2 Level 2 Data Product (CO2_GOS_SRFP) version 2.3.7, generated with the SRFP (RemoTeC) algorithm. Centre for Environmental Data Analysis, date of citation.
Abbreviation: Not defined
Keywords: ESA, GHG, CCI, CO2, SRFP


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: K
  • standard_name: air_temperature
  • var_id: air_temperature
  • long_name: Air temperature at each level
  • units: m
  • standard_name: altitude
  • var_id: altitude
  • long_name: Altitude
  • units: 1
  • long_name: Chi-squared
  • var_id: chi2
  • units: m-2
  • long_name: Dry airmass per layer
  • var_id: dry_airmass_layer
  • units: m-2
  • long_name: H2O total column
  • var_id: h2o_column
  • units: W cm-2
  • long_name: Intensity offset in the O2A-band
  • var_id: intensity_offset_o2a
  • units: 1
  • long_name: Level 1B name
  • var_id: l1b_name
  • units: 1e-6
  • var_id: raw_xco2
  • long_name: Raw retrieved XCO2 column
  • units: 1e-6
  • long_name: Raw uncertainty on the XCO2 total column
  • var_id: raw_xco2_err
  • units: m
  • long_name: Retrieved aerosol peak height
  • var_id: aerosol_central_height
  • units: m-2
  • long_name: Retrieved aerosol total column
  • var_id: aerosol_total_column
  • units: 1
  • long_name: Retrieved size parameter of the aerosol distribution
  • var_id: aerosol_size
  • units: degrees
  • long_name: Sensor zenith angle
  • standard_name: sensor_zenith_angle
  • var_id: sensor_zenith_angle
  • units: degrees
  • long_name: Solar zenith angle
  • var_id: solar_zenith_angle
  • standard_name: solar_zenith_angle
  • units: m
  • long_name: Standard deviation of the surface elevation
  • var_id: surface_altitude_stdv
  • units: 1
  • long_name: Surface albedo at 1593 nm
  • var_id: surface_albedo_1593
  • units: 1
  • long_name: Surface albedo at 1629 nm
  • var_id: surface_albedo_1629
  • units: 1
  • long_name: Surface albedo at 2042 nm
  • var_id: surface_albedo_2042
  • units: 1
  • long_name: Surface albedo at 758 nm
  • var_id: surface_albedo_758
  • units: 1e-6
  • long_name: a priori dry-air mole fraction profile of atmospheric carbon dioxide
  • var_id: co2_profile_apriori
  • units: 1e-6
  • long_name: column-average dry-air mole fraction of atmospheric carbon dioxide
  • var_id: xco2
  • units: 1
  • long_name: exposure id
  • var_id: exposure_id
  • units: 1
  • long_name: flag for land / ocean soundings
  • var_id: flag_landtype
  • units: 1
  • long_name: flag for normal / sunglint soundings
  • var_id: flag_sunglint
  • units: 1
  • long_name: gain
  • var_id: gain
  • units: m s-1
  • standard_name: x_wind
  • var_id: x_wind
  • long_name: grid_eastward_wind
  • units: m s-1
  • standard_name: y_wind
  • var_id: y_wind
  • long_name: grid_northward_wind
  • 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
  • units: 1
  • long_name: signal to noise ratio
  • var_id: signal_to_noise_window
  • units: 1
  • long_name: xch4_quality flag
  • var_id: xco2_quality_flag

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