Dataset
ESA Greenhouse Gases Climate Change Initiative (GHG CCI): GOSAT CO2 Level 2 Data Product (CO2_GOS_OCFP) version 6.0, generated with the OCFP (UoL-FP) algorithm
Abstract
Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project, the XCO2 GOSAT product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). The University of Leicester Full-Physics Retrieval Algorithm has been applied to the TANSO-FTS data, based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and modified for use on GOSAT spectra. A second product, generated using the SRFP algorithm, is also available.
The XCO2 product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further information, including details of the OCFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) in the documentation section.
The GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. To register, please use the following link: http://www.iup.uni-bremen.de/sciamachy/NIR_NADIR_WFM_DOAS/CRDP_REG/
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(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: |
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
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Related Documents
Process overview
- 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
- var_id: solar_zenith_angle
- standard_name: solar_zenith_angle
- long_name: solar_zenith_angle
- 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
- 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
Temporal Range
2009-04-22T23:00:00
2014-12-14T23:59:59
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |