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 2014
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keyword: DIF10
keyword: ESA
keyword: GHG
keyword: CCI
keyword: CH4
keyword: Proxy
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: University of Leicester
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: GOSAT-Programme
keyword: Level 2
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description: 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.
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