ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the SRFP (RemoTeC) Full Physics algorithm (CH4_GOS_SRFP), version 2.3.8 2014-04
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keyword: DIF10
keyword: ESA
keyword: GHG
keyword: CCI
keyword: FP
keyword: CH4
keyword: orthoimagery
keyword: EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC CHEMISTRY
keyword: EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC CHEMISTRY>CARBON AND HYDROCARBON COMPOUNDS>METHANE
keyword: EARTH SCIENCE>CLIMATE INDICATORS>PALEOCLIMATE INDICATORS>ICE CORE RECORDS>METHANE
keyword: GOSAT
keyword: TANSO-FTS
keyword: greenhouse gases
keyword: column-averaged dry air mole fraction of CH4
keyword: Thermal And Near-infrared Sensor for Carbon Observation - Fourier Transform Spectrometer
keyword: satellite orbit frequency
keyword: Netherlands Institute for Space Research
keyword: GOSAT-Programme
keyword: Level 2
keyword: SRFP
keyword: GOSAT-1
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description: The CH4_GOS_SRFP dataset is comprised of level 2, column-averaged mole fractiona (mixing ratioa) of methane (XCH4). It 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 SRFP (RemoTec) algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci). This version of the dataset is v2.3.8 and forms part of the Climate Research Data Package 4.The RemoTeC SRFP baseline algorithm is a Full Physics algorithm. The data product is stored per day in a single NetCDF file. Retrieval results are provided for the individual GOSAT spatial footprints, no averaging having been applied. The product file contains the key products with and without bias correction. Information relevant for the use of the data is also included in the data file, such as the vertical layering and averaging kernels. Additionally, the parameters retrieved simultaneously with XCH4 are included (e.g. surface albedo), as well as retrieval diagnostics like retrieval errors and the quality of the fit. For further information on the product, including the RemoTeC Full Physics algorithm and the TANSO-FTS instrument please see the Product User Guide (PUG) or the Algorithm Theoretical Basis Document.
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  start date: 2014-04-01T00:00:00.000Z
  end date: 2014-04-30T23:59:59.999Z
license: other