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Dataset

 

ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CO2 from GOSAT generated with the SRFP (RemoTeC) algorithm (CO2_GOS_SRFP), v2.3.8

Update Frequency: Unknown
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2018-03-19
Download Stats: last 12 months

Abstract

The CO2_GOS_SRFP dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) for carbon dioxide (XCO2), from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). It has been produced using the RemoTeC Full Physics (SRFP) algorithm, v2.3.8, by the Greenhouse Gases Climate Change Initiative (GHG_cci) project. This forms part of the GHG_cci Climate Research Data Package Number 4 (CRDP#4).

The RemoTeC Full Physics (SRFP) algorithm has been jointly developed at SRON and KIT. A second product, generated using the OCFP (University of Leicester Full Physics) algorithm, is also available, and is considered the GHG_cci baseline product, whilst the SRFP product forms an 'alternative' product. It is advised that users who aren't sure whether to use the baseline or alternative product use the OCFP product. For more information on the differences between baseline and alternative algorithms please see the Greenhouse Gases CCI data products webpage.

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.

Citable as:  ESA CCI GHG project team (2018): ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CO2 from GOSAT generated with the SRFP (RemoTeC) algorithm (CO2_GOS_SRFP), v2.3.8. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/e61704b00267405082fbd41bb710dd74
Abbreviation: Not defined
Keywords: ESA, GHG, CCI, CO2, SRFP

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

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

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:
2009-03-31T23:00:00
End time:
2015-12-30T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°