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

Dataset

 
Old European Space Agency (ESA) Logo

ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged carbon dioxide from TANSAT, generated with the OCFP algorithm, for selected validation sites, version 1.0

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2020-09-29
DOI Publication Date: 2020-10-05
Download Stats: last 12 months

Abstract

This dataset contains column-average dry-air mole fractions of atmospheric carbon dioxide (CO2), derived from the TANSAT satellite, using the University of Leicester Full-Physics Retrieval Algorithm (UoL-FP, also known as OCFP). This dataset is also referred to as CO2_TAN_OCFP. The data covers the period from March 2017 to May 2018 and is provided for TCCON (Total Carbon Column Observing Network) validation sites only. A full global dataset is in production. For further information on the dataset, please see the linked documentation.

This data has been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme, with support from the UK's National Centre for Earth Observation (NCEO).

Citable as:  Yang, D.; Boesch, H. (2020): ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged carbon dioxide from TANSAT, generated with the OCFP algorithm, for selected validation sites, version 1.0. Centre for Environmental Data Analysis, 05 October 2020. doi:10.5285/2cc63301f1854239aa61c70e58c61207. http://dx.doi.org/10.5285/2cc63301f1854239aa61c70e58c61207
Abbreviation: Not defined
Keywords: ESA, CCI, satellite, TANSAT, atmosphere, carbon dioxide, CO2

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: http://licences.ceda.ac.uk/image/data_access_condition/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. This data has been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme, with support from the UK's National Centre for Earth Observation (NCEO).

Data Quality:
For further information see the End to End ECV Uncertainty budget report
File Format:
Data are in NetCDF format

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Instrument/Platform pairings

ACGS Deployed on: TANSAT

Computation Element: 1

Title UoL_FP: University of Leicester Full-Physics retrieval algorithm for retrieval of CO2 from TANSAT data
Abstract The University of Leicester Full-Physics Retrieval Algorithm (UoL-FP) is an optical estimation retrieval algorithm for TanSat (and other satellites). It is also known as OCFP as it was initially developed to work for the OCO (Orbiting Carbon Observatory) satellite, but has been adapted for other instruments. For the CO2 Full Physics product, it utilises the O2-A absorption band along with the weak CO2 band located at 1.6 um respectively to retrieve XCO2 (the column-average dry-air mole fraction of atmospheric CO2). The explicit consideration of scattering by this approach reduces potential systematic biases due to clouds or aerosols.
Input Description None
Output Description None
Software Reference None
Output Description None
  • long_name: air_temperature_apriori
  • var_id: air_temperature_apriori
  • units: K
  • names: air_temperature_apriori
  • var_id: aod_type1
  • units: 1
  • long_name: aod_type1
  • names: aod_type1
  • long_name: aod_type2
  • var_id: aod_type2
  • units: 1
  • names: aod_type2
  • long_name: cirrus
  • var_id: cirrus
  • units: 1
  • names: cirrus
  • var_id: co2_profile_apriori
  • long_name: co2_profile_apriori
  • units: 1e-6
  • names: co2_profile_apriori
  • units: 1
  • long_name: exposure_id
  • var_id: exposure_id
  • names: exposure_id
  • var_id: gain
  • units: 1
  • long_name: gain
  • names: gain
  • long_name: h2o_profile_apriori
  • var_id: h2o_profile_apriori
  • units: 1e-6
  • names: h2o_profile_apriori
  • long_name: pressure_levels
  • var_id: pressure_levels
  • units: hPa
  • names: pressure_levels
  • long_name: pressure_weight
  • var_id: pressure_weight
  • units: 1
  • names: pressure_weight
  • long_name: retr_flag
  • var_id: retr_flag
  • units: 1
  • names: retr_flag
  • var_id: sensor_zenith_angle
  • long_name: sensor_zenith_angle
  • units: degree
  • standard_name: sensor_zenith_angle
  • names: sensor_zenith_angle, sensor zenith angle
  • var_id: solar_zenith_angle
  • standard_name: solar_zenith_angle
  • long_name: solar_zenith_angle
  • units: degree
  • names: solar zenith angle, solar_zenith_angle
  • units: hPa
  • long_name: surface_air_pressure_apriori
  • var_id: surface_air_pressure_apriori
  • names: surface_air_pressure_apriori
  • long_name: surface_air_pressure_apriori_std
  • var_id: surface_air_pressure_apriori_std
  • units: hPa
  • names: surface_air_pressure_apriori_std
  • units: m
  • long_name: surface_altitude
  • standard_name: surface_altitude
  • var_id: surface_altitude
  • names: surface_altitude, surface altitude
  • units: m
  • long_name: surface_altitude_stdev
  • var_id: surface_altitude_stdev
  • names: surface_altitude_stdev
  • long_name: total_aod
  • var_id: total_aod
  • units: 1
  • names: total_aod
  • var_id: xco2
  • standard_name: dry_atmosphere_mole_fraction_of_carbon_dioxide
  • long_name: xco2
  • units: 1e-6
  • names: xco2, dry_atmosphere_mole_fraction_of_carbon_dioxide
  • var_id: xco2_averaging_kernel
  • units: 1
  • long_name: xco2_averaging_kernel
  • names: xco2_averaging_kernel
  • long_name: xco2_no_bias_correction
  • var_id: xco2_no_bias_correction
  • units: 1e-6
  • names: xco2_no_bias_correction
  • long_name: xco2_quality_flag
  • units: 1
  • var_id: xco2_quality_flag
  • names: xco2_quality_flag
  • long_name: xco2_uncertainty
  • var_id: xco2_uncertainty
  • units: 1e-6
  • names: xco2_uncertainty

Co-ordinate Variables

  • standard_name: latitude
  • var_id: latitude
  • long_name: latitude
  • units: degrees_north
  • names: latitude
  • units: degrees_east
  • standard_name: longitude
  • long_name: longitude
  • var_id: longitude
  • names: longitude
  • long_name: time
  • standard_name: time
  • var_id: time
  • names: time
Coverage
Temporal Range
Start time:
2017-03-01T00:00:00
End time:
2018-05-22T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°