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Dataset

 
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ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged carbon dioxide from OCO-2 generated with the FOCAL algorithm, version 08

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2020-03-31
DOI Publication Date: 2020-04-01
Download Stats: last 12 months

Abstract

This dataset contains column-average dry-air mole fractions of atmospheric carbon dioxide (XCO2), using the fast atmospheric trace gas retrieval for OCO2 (FOCAL-OCO2). The FOCAL-OCO2 algorithm which has been setup to retrieve XCO2 by analysing hyper spectral solar backscattered radiance measurements from NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite. FOCAL includes a radiative transfer model which has been developed to approximate light scattering effects by multiple scattering at an optically thin scattering layer. This reduces the computational costs by several orders of magnitude. FOCAL's radiative transfer model is utilised to simulate the radiance in all three OCO-2 spectral bands allowing the simultaneous retrieval of CO2, H2O, and solar induced chlorophyll fluorescence. The product is limited to cloud-free scenes on the Earth's day side. This dataset is also referred to as CO2_OC2_FOCA.

This version of the data was produced as part of the European Space Agency's (ESA)
Climate Change Initiative (CCI) Greenhouse Gases (GHG) project (GHG-CCI+, http://cci.esa.int/ghg)
and got co-funding from the Univ. Bremen and EU H2020 projects CHE (grant agreement no. 776186) and VERIFY (grant agreement no. 776810).

Citable as:  Reuter, M.; Buchwitz, M.; Schneising, O.; Bovensmann, H.; Burrows, J.P. (2020): ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged carbon dioxide from OCO-2 generated with the FOCAL algorithm, version 08. Centre for Environmental Data Analysis, 01 April 2020. doi:10.5285/b06213c3f3934a689f89ab22aa50e471. http://dx.doi.org/10.5285/b06213c3f3934a689f89ab22aa50e471
Abbreviation: Not defined
Keywords: ESA, CCI, satellite, 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:

This version of the data was produced as part of the European Space Agency's (ESA)
Climate Change Initiative (CCI) Greenhouse Gases (GHG) project (GHG-CCI+, http://cci.esa.int/ghg)
and got co-funding from the Univ. Bremen and EU H2020 projects CHE (grant agreement no. 776186) and VERIFY (grant agreement no. 776810).

Data Quality:
Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)
File Format:
Data are netCDF formatted.

Related Documents

 M.Reuter and the GHG-CCI group at IUP: End-to-End ECV Uncertainty Budget Version 1 (E3UBv1) for the FOCAL XCO2 OCO-2 Data Product CO2_OC2_FOCA for the Essential Climate Variable (ECV) Greenhouse Gases (GHG) ESA Climate Change Initiative “Plus” (CCI+), 2020
 GHG-CCI project team: Product Specification Document Version 3 (PSDv3) for the Essential Climate Variable (ECV) Greenhouse Gases (GHG) - Description of Common Parameters for core (ECA) products ESA Climate Change Initiative (CCI), 2014
 M. Reuter, M. Buchwitz, O. Schneising, H. Bovensmann, J. P. Burrows: Algorithm Theoretical Basis Document Version 1 (ATBDv1) - Retrieval of XCO2 from the OCO-2 satellite using the Fast Atmospheric Trace Gas Retrieval (FOCAL) ESA Climate Change Initiative “Plus” (CCI+), 2019
 Greenhouse Gases CCI project
 Product user guide
 ESA Climate Change Initiative website
 M.Reuter, M.Buchwitz, O.Schneising, S.Noel, V.Rozanov, H.Bovensmann and J.P.Burrows: A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering - Part 1: Radiative Transfer and a Potential OCO-2 XCO2 Retrieval Setup Remote Sensing, 9(11), 1159; doi:10.3390/rs9111159, 2017
 Reuter, M., M. Buchwitz, O. Schneising, S. Noel, H. Bovensmann, J. P. Burrows, A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering - Part 2: Application to XCO2 Retrievals from OCO-2, Remote Sens., 9, 1102, doi:10.3390/rs9111102, 2017.

Process overview

  • long_name: 1-sigma uncertainty of the retrieved column-average dry-air mole fraction of atmospheric carbon dioxide
  • var_id: xco2_uncertainty
  • units: 1e-6
  • names: 1-sigma uncertainty of the retrieved column-average dry-air mole fraction of atmospheric carbon dioxide
  • long_name: 1-sigma uncertainty of the retrieved column-average dry-air mole fraction of atmospheric water vapor
  • var_id: xh2o_uncertainty
  • units: 1e-6
  • names: 1-sigma uncertainty of the retrieved column-average dry-air mole fraction of atmospheric water vapor
  • var_id: sensor_zenith_angle
  • units: degree
  • long_name: Sensor zenith angle
  • standard_name: sensor_zenith_angle
  • names: Sensor zenith angle, sensor_zenith_angle
  • var_id: sif_760nm
  • long_name: Solar-induced chlorophyll fluorescence at 760nm
  • standard_name: solar_induced_chlorophyll_fluorescence
  • units: mW/m2/sr/nm
  • names: Solar-induced chlorophyll fluorescence at 760nm, solar_induced_chlorophyll_fluorescence
  • long_name: a priori dry-air mole fraction profile of atmospheric carbon dioxide
  • var_id: co2_profile_apriori
  • units: 1e-6
  • names: a priori dry-air mole fraction profile of atmospheric carbon dioxide
  • long_name: a priori dry-air mole fraction profile of atmospheric water vapor
  • var_id: h2o_profile_apriori
  • units: 1e-6
  • names: a priori dry-air mole fraction profile of atmospheric water vapor
  • 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
  • units: 1e-6
  • names: dry_atmosphere_mole_fraction_of_carbon_dioxide, column-average dry-air mole fraction of atmospheric carbon dioxide in dry air
  • long_name: column-average dry-air mole fraction of atmospheric water vapor in dry air
  • standard_name: dry_atmosphere_mole_fraction_of_water_vapor
  • var_id: xh2o
  • units: 1e-6
  • names: column-average dry-air mole fraction of atmospheric water vapor in dry air, dry_atmosphere_mole_fraction_of_water_vapor
  • long_name: normalized column averaging kernel
  • var_id: xh2o_averaging_kernel
  • units: 1
  • names: normalized column averaging kernel
  • 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: quality flag
  • var_id: xh2o_quality_flag
  • names: quality flag
  • var_id: solar_zenith_angle
  • standard_name: solar_zenith_angle
  • units: degree
  • long_name: solar zenith angle
  • names: solar zenith angle, solar_zenith_angle

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:
2015-01-01T00:00:00
End time:
2018-12-30T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°