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Dataset

 

ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the OCPR (UoL-PR) Proxy algorithm (CH4_GOS_OCPR), v7.0

Latest Data Update: 2017-07-20
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2018-03-19
Download Stats: last 12 months
Dataset Size: 2.4K Files | 4GB

This dataset has been superseded. See Latest Version here
Abstract

This CH4_GOS_OCPR dataset is comprised of level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4.) 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), using the OCPR University of Leicester Proxy Retrieval Algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci). This version of the data is v7.0 and forms part of the Climate Research Data Package 4.

This algorithm has been designated the baseline algorithm for the GHG CCI proxy methane retrievals. A second product has also been generated from the TANSO-FTS data using an alternative algorithm, the RemoTeC Proxy algorithm. It is advised that users who aren't sure whether to use the baseline or alternative product use this product generated with the OCPR baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage.

The product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further details on the product, including the UoL-PR algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents.

Citable as:  ESA CCI GHG project team (2018): ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the OCPR (UoL-PR) Proxy algorithm (CH4_GOS_OCPR), v7.0. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/f9154243fd8744bdaf2a59c39033e659
Abbreviation: Not defined
Keywords: ESA, GHG, CCI, CH4, Proxy

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: 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

Process overview

  • units: K
  • long_name: air_temperature_apriori
  • var_id: air_temperature_apriori
  • names: air_temperature_apriori
  • units: 1e-9
  • var_id: ch4_profile_apriori
  • long_name: ch4_profile_apriori
  • names: ch4_profile_apriori
  • 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: 1e-6
  • long_name: model_xco2
  • var_id: model_xco2
  • names: model_xco2
  • units: 1e-6
  • long_name: model_xco2_median_diff
  • var_id: model_xco2_median_diff
  • names: model_xco2_median_diff
  • units: 1e-6
  • long_name: model_xco2_range
  • var_id: model_xco2_range
  • names: model_xco2_range
  • 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: 1e-9
  • long_name: raw_xch4
  • var_id: raw_xch4
  • names: raw_xch4
  • units: 1e-9
  • long_name: raw_xch4_error
  • var_id: raw_xch4_error
  • names: raw_xch4_error
  • units: 1e-6
  • long_name: raw_xco2
  • var_id: raw_xco2
  • names: raw_xco2
  • units: 1e-6
  • long_name: raw_xco2_error
  • var_id: raw_xco2_error
  • names: raw_xco2_error
  • units: 1
  • long_name: retr_flag
  • var_id: retr_flag
  • names: retr_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
  • 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: 1e-9
  • var_id: xch4
  • long_name: xch4
  • standard_name: dry_atmosphere_mole_fraction_of_methane
  • names: xch4, dry_atmosphere_mole_fraction_of_methane
  • units: 1
  • var_id: xch4_averaging_kernel
  • long_name: xch4_averaging_kernel
  • names: xch4_averaging_kernel
  • units: 1
  • var_id: xch4_quality_flag
  • long_name: xch4_quality_flag
  • names: xch4_quality_flag
  • units: 1e-9
  • var_id: xch4_uncertainty
  • long_name: xch4_uncertainty
  • names: xch4_uncertainty
  • units: 1
  • var_id: xco2_averaging_kernel
  • long_name: xco2_averaging_kernel
  • names: xco2_averaging_kernel

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:
2009-04-18T00:00:00
End time:
2015-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°