Dataset
ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged carbon dioxide from TANSAT, generated with the OCFP algorithm, for global land areas, version 1.0
Update Frequency: Not Planned
Latest Data Update: 2021-08-04
Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2021-08-06
Download Stats: last 12 months
Dataset Size: 59 Files | 495MB
This dataset has been superseded. See Latest Version here
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. This version of the dataset provides data globally over land. For further information on the dataset, please see the linked documentation.
Initially this dataset contains two months of data (June and August 2017), delivered as part of the GHG_cci Climate Research Data Package 6. Additional time periods will be added in the future.
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.; Preval, S. (2021): ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged carbon dioxide from TANSAT, generated with the OCFP algorithm, for global land areas, version 1.0. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/9252ff9ddeb249a2bd8433e9ae9dfe13
Abbreviation: Not defined
Keywords: ESA, CCI, satellite, TANSAT, atmosphere, carbon dioxide, CO2
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| 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. 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
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| File Format: |
Data are in NetCDF format
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Process overview
This dataset was generated by a combination of instruments deployed on platforms
and computations as detailed below.
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 |
- units: K
- long_name: air_temperature_apriori
- var_id: air_temperature_apriori
- units: 1
- long_name: aod_type1
- var_id: aod_type1
- units: 1
- long_name: aod_type2
- var_id: aod_type2
- units: 1
- long_name: cirrus
- var_id: cirrus
- units: 1e-6
- var_id: co2_profile_apriori
- long_name: co2_profile_apriori
- units: 1
- long_name: exposure_id
- var_id: exposure_id
- units: 1
- long_name: gain
- var_id: gain
- units: 1e-6
- long_name: h2o_profile_apriori
- var_id: h2o_profile_apriori
- units: hPa
- var_id: pressure_levels
- long_name: pressure_levels
- units: 1
- var_id: pressure_weight
- long_name: pressure_weight
- units: 1
- long_name: retr_flag
- var_id: retr_flag
- units: degree
- standard_name: sensor_zenith_angle
- var_id: sensor_zenith_angle
- long_name: sensor zenith angle
- units: degree
- standard_name: sensor_zenith_angle
- var_id: sensor_zenith_angle
- long_name: sensor_zenith_angle
- units: degree
- long_name: solar zenith angle
- var_id: solar_zenith_angle
- standard_name: solar_zenith_angle
- units: degree
- var_id: solar_zenith_angle
- standard_name: solar_zenith_angle
- long_name: solar_zenith_angle
- units: m
- standard_name: surface_altitude
- var_id: surface_altitude
- long_name: surface altitude
- units: hPa
- long_name: surface_air_pressure_apriori
- var_id: surface_air_pressure_apriori
- units: hPa
- long_name: surface_air_pressure_apriori_std
- var_id: surface_air_pressure_apriori_std
- units: m
- standard_name: surface_altitude
- var_id: surface_altitude
- long_name: surface_altitude
- units: m
- long_name: surface_altitude_stdev
- var_id: surface_altitude_stdev
- units: 1
- long_name: total_aod
- var_id: total_aod
- units: 1e-6
- var_id: xco2
- long_name: xco2
- standard_name: dry_atmosphere_mole_fraction_of_carbon_dioxide
- units: 1
- var_id: xco2_averaging_kernel
- long_name: xco2_averaging_kernel
- units: 1e-6
- long_name: xco2_no_bias_correction
- var_id: xco2_no_bias_correction
- units: 1
- var_id: xco2_quality_flag
- long_name: xco2_quality_flag
- units: 1e-6
- var_id: xco2_uncertainty
- long_name: xco2_uncertainty
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
Coverage
Temporal Range
Start time:
2017-06-01T00:00:00
End time:
2017-08-31T23:59:59
Geographic Extent
90.0000° |
||
-180.0000° |
180.0000° |
|
-90.0000° |
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