Dataset
ESA Greenhouse Gases Climate Change Initiative (GHG_cci): GOSAT CO2 Level 2 Data Product (CO2_GOS_OCFP) version 5.2, 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 has also been generated from the data using the SRFP algorithm, and the link to this product's record page is provided in the documentation section.
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 or the Algorithm Theoretical Basis Document for version 5.1 of the product (no ATBD is yet available for version 5.2).
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 |
| File Format: |
The data is stored in NetCDF format which can be read with standard tools in the common
programming languages (IDL, Matlab, Python etc).
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Related Documents
Process overview
- units: K
- long_name: air_temperature_apriori
- var_id: air_temperature_apriori
- names: air_temperature_apriori
- units: 1
- long_name: aod_type1
- var_id: aod_type1
- names: aod_type1
- units: 1
- long_name: aod_type2
- var_id: aod_type2
- names: aod_type2
- units: 1
- long_name: cirrus
- var_id: cirrus
- names: cirrus
- units: 1e-6
- var_id: co2_profile_apriori
- long_name: co2_profile_apriori
- names: co2_profile_apriori
- units: 1
- long_name: exposure_id
- var_id: exposure_id
- names: exposure_id
- units: 1
- long_name: gain
- var_id: gain
- names: gain
- units: 1e-6
- long_name: h2o_profile_apriori
- var_id: h2o_profile_apriori
- names: h2o_profile_apriori
- units: hPa
- var_id: pressure_levels
- long_name: pressure_levels
- names: pressure_levels
- units: 1
- var_id: pressure_weight
- long_name: pressure_weight
- names: pressure_weight
- 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
- var_id: solar_zenith_angle
- standard_name: solar_zenith_angle
- long_name: solar_zenith_angle
- 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
- units: hPa
- long_name: surface_air_pressure_apriori_std
- var_id: surface_air_pressure_apriori_std
- names: surface_air_pressure_apriori_std
- units: m
- standard_name: surface_altitude
- var_id: surface_altitude
- long_name: surface_altitude
- names: surface_altitude, surface altitude
- units: m
- long_name: surface_altitude_stdev
- var_id: surface_altitude_stdev
- names: surface_altitude_stdev
- units: 1
- long_name: total_aod
- var_id: total_aod
- names: total_aod
- units: 1e-6
- var_id: xco2
- long_name: xco2
- names: xco2
- units: 1
- var_id: xco2_averaging_kernel
- long_name: xco2_averaging_kernel
- names: xco2_averaging_kernel
- units: 1e-6
- long_name: xco2_no_bias_correction
- var_id: xco2_no_bias_correction
- names: xco2_no_bias_correction
- units: 1
- var_id: xco2_quality_flag
- long_name: xco2_quality_flag
- names: xco2_quality_flag
- units: 1e-6
- var_id: xco2_uncertainty
- long_name: xco2_uncertainty
- names: xco2_uncertainty
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
Temporal Range
2009-04-22T23:00:00
2012-12-31T00:00:00
Geographic Extent
90.0000° |
||
-180.0000° |
180.0000° |
|
-90.0000° |