• DocumentCode
    1755806
  • Title

    Comparison of Column-Averaged Volume Mixing Ratios of Carbon Dioxide Retrieved From IASI/METOP-A Using KLIMA Algorithm and TANSO-FTS/GOSAT Level 2 Products

  • Author

    Laurenza, L.M. ; Del Bianco, S. ; Gai, M. ; Barbara, Francois ; Schiavon, Giovanni ; Cortesi, U.

  • Author_Institution
    Inst. for Appl. Phys. "Nello Carrara" (IFAC), Sesto Fiorentino, Italy
  • Volume
    7
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    389
  • Lastpage
    398
  • Abstract
    The ESA research project “Application of KLIMA Algorithm to CO2 Retrieval from IASI/METOP-A Observations and Comparison with TANSO-FTS/GOSAT Products” aims to develop a dedicated software, based on the KLIMA inversion algorithm (originally proposed by IFAC-CNR for the 6 ° cycle of ESA Earth Explorer Core Missions), suited for CO2 retrieval and integrated into the ESA grid-based operational environment Grid Processing On-Demand (G-POD) to process Level 1 data acquired by the infrared atmospheric sounding interferometer (IASI) and to perform a comparison with Thermal And Near-infrared Sensor for carbon Observation Fourier Transform Spectrometer (TANSO-FTS), on board of the Greenhouse gases Observing SATellite (GOSAT), Level 2 data. In order to obtain a reasonable capacity to bulk processing IASI data, we choose to integrate the KLIMA code into the G-POD system. For this reason, we investigated an optimized version of the KLIMA algorithm, aiming at developing a nonoperational retrieval code with adequate features for the integration on the G-POD system. The optimized version of KLIMA retrieval code has been completed and integrated on the G-POD operational environment and is available for bulk processing of IASI data. Using the KLIMA inversion code integrated into the ESA G-POD, it was possible to perform an extensive comparison of a selected set of IASI measurements collocated with TANSO-FTS observations. We performed an extensive comparison of the column-average CO2 dry air mole fraction (XCO2) retrieved from IASI measurements by using the KLIMA/G-POD inversion code with the operational Level 2 SWIR products (Version 01.xx and Version 02.xx) from collocated TANSO-FTS observations. In this work, we describe the strategy adopted for the comparison and we show the results of this activity.
  • Keywords
    Fourier transform spectrometers; air pollution; atmospheric composition; carbon compounds; interferometers; remote sensing; CO2 retrieval; ESA Earth explorer core missions cycle; ESA G-POD; ESA grid-based operational environment grid processing on-demand; ESA research project; G-POD operational environment; G-POD system integration; IASI; IASI measurement set; IASI-METOP-A comparison; IASI-METOP-A observation; IFAC-CNR; KLIMA algorithm application; KLIMA algorithm optimized version; KLIMA code integration; KLIMA inversion algorithm; KLIMA inversion code; KLIMA retrieval code optimized version; KLIMA-G-POD inversion code; Level 1 acquired data process; TANSO-FTS-GOSAT level 2 products; bulk processing IASI data; carbon observation fourier transform spectrometer; collocated TANSO-FTS observations; dedicated software; greenhouse gas observing satellite; infrared atmospheric sounding interferometer; level 2 data; nonoperational retrieval code; operational level 2 SWIR products; retrieved carbon dioxide column-averaged volume mixing ratios; retrieved column-average CO2 dry air mole fraction comparison; thermal and near-infrared sensor; Atmospheric measurements; Atmospheric modeling; Carbon dioxide; Earth; Extraterrestrial measurements; Instruments; Satellites; Atmospheric modeling; Greenhouse gases Observing SATellite (GOSAT); KLIMA algorithm; carbon dioxide; data validation; hyperspectral sensors; infrared atmospheric sounding interferometer (IASI); remote sensing;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2013.2276125
  • Filename
    6583276