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

Dataset

 

ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged carbon dioxide from OCO-2 generated with the FOCAL algorithm, version 10

Update Frequency: Not Planned
Latest Data Update: 2022-09-29
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2022-12-22
DOI Publication Date: 2023-01-17
Download Stats: last 12 months
Dataset Size: 2.23K Files | 47GB

This dataset has been superseded. See Latest Version here
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 (v10) 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).

When citing this data, please also cite the following peer-reviewed publications:

M.Reuter, M.Buchwitz, O.Schneising, S.Noël, 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

M.Reuter, M.Buchwitz, O.Schneising, S.Noël, H.Bovensmann and 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 Sensing, 9(11), 1102; doi:10.3390/rs9111102, 2017

Citable as:  Reuter, M.; Hilker, M.; Noël, S.; Buchwitz, M.; Schneising, O.; Bovensmann, H.; Burrows, J.P. (2023): ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged carbon dioxide from OCO-2 generated with the FOCAL algorithm, version 10. NERC EDS Centre for Environmental Data Analysis, 17 January 2023. doi:10.5285/070522ac6a5d4973a95c544beef714b4. https://dx.doi.org/10.5285/070522ac6a5d4973a95c544beef714b4
Abbreviation: Not defined
Keywords: ESA, CCI, satellite, 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(s):
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:

The FOCAL OCO-2 XCO2 retrieval development, data processing and analysis has received co-funding from ESA’s Climate Change Initiative (CCI+) via project GHG-CCI+ (contract 4000126450/19/I-NB, https://climate.esa.int/en/projects/ghgs), EUMETSAT via the FOCAL-CO2M study (contract EUM/CO/19/4600002372/RL), the European Union via the Horizon 2020 (H2020) projects VERIFY (Grant Agreement No. 776810, http://verify.lsce.ipsl.fr) and CHE (Grant Agreement No. 776186, https://www.che-project.eu), and by the State and the University of Bremen.

Data were supplied to CEDA for archiving as part of the ESA CCI Open Data Portal.

Data Quality:
The dataset has been quality controlled, validated, and uncertainty characterized by the data provider (see related documents).
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

OCO-2 Deployed on: OCO-2

Computation Element: 1

Title Derivation of the ESA GHG CCI column averaged carbon dioxide from OCO-2 generated with the FOCAL algorithm
Abstract Column-averaged carbon dioxide (XCO2) has been retrieved using the FOCAL-OCO2 algorithm, 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.
Input Description None
Output Description None
Software Reference None
Output Description

None

  • 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: 1e-6
  • long_name: 1-sigma uncertainty of the retrieved column-average dry-air mole fraction of atmospheric water vapor
  • var_id: xh2o_uncertainty
  • names: 1-sigma uncertainty of the retrieved column-average dry-air mole fraction of atmospheric water vapor
  • long_name: Footprint
  • var_id: footprint_index
  • names: Footprint
  • long_name: Mode of operation
  • var_id: operation_mode
  • names: Mode of operation
  • long_name: Sounding ID
  • var_id: sounding_id
  • names: Sounding ID
  • units: degrees_north
  • long_name: Vertex latitude
  • var_id: vertex_latitude
  • names: Vertex latitude
  • units: degrees_east
  • long_name: Vertex longitude
  • var_id: vertex_longitude
  • names: Vertex longitude
  • 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: h2o_profile_apriori
  • long_name: a priori dry-air mole fraction profile of atmospheric water vapor
  • names: a priori dry-air mole fraction profile of atmospheric water vapor
  • 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
  • units: 1e-6
  • 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
  • names: column-average dry-air mole fraction of atmospheric water vapor in dry air, dry_atmosphere_mole_fraction_of_water_vapor
  • long_name: land fraction
  • var_id: land_fraction
  • names: land fraction
  • units: 1
  • long_name: normalized column averaging kernel
  • var_id: xh2o_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: xh2o_quality_flag
  • names: quality flag
  • units: degree
  • standard_name: sensor_zenith_angle
  • var_id: sensor_zenith_angle
  • long_name: sensor zenith angle
  • names: sensor_zenith_angle, sensor zenith angle
  • units: degree
  • long_name: solar zenith angle
  • var_id: solar_zenith_angle
  • standard_name: solar_zenith_angle
  • names: solar zenith angle, solar_zenith_angle

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:
2014-09-06T00:00:00
End time:
2021-03-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°