• DocumentCode
    2202253
  • Title

    Ocean Colour Climate Change Initiative — Approach and initial results

  • Author

    Sathyendranath, Shubha ; Brewin, Bob ; Mueller, Dagmar ; Doerffer, Roland ; Krasemann, Hajo ; Mélin, Frédéric ; Brockmann, Carsten ; Fomferra, Norman ; Peters, Marco ; Grant, Mike ; Steinmetz, Francois ; Deschamps, Pierre-Yves ; Swinton, John ; Smyth, Tim

  • Author_Institution
    Plymouth Marine Lab., Plymouth, UK
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2024
  • Lastpage
    2027
  • Abstract
    The Ocean-Colour Climate-Change Initiative (OC-CCI) aims to create a long-term, consistent, error-characterised time series of ocean-colour products, for use in climate change studies. Climate Change Initiative is a programme of the European Space Agency devoted to using satellites to generate climate quality time series data of Essential Climate Variables (ECVs) identified by the Global Climate Observing System (GCOS). Within the ocean colour CCI project, a user consultation was undertaken, targeting both the climate modelling community and the Earth Observation community. Taking the user requirements into account, a set of criteria was developed, for selecting the best ocean-colour algorithms for climate research. Candidate atmospheric correction algorithms and in water algorithms have been submitted to a round robin comparison. The overall best performers are being used to generate test products, to be evaluated further.
  • Keywords
    climatology; oceanographic techniques; time series; Earth Observation community; European Space Agency; Global Climate Observing System; atmospheric correction algorithms; climate modelling community; climate quality time series data; essential climate variables; long-term consistent error-characterised time series; ocean colour CCI project; ocean colour climate change initiative; ocean-colour algorithms; ocean-colour products; water algorithms; Algorithm design and analysis; Atmospheric modeling; Biological system modeling; Europe; Image color analysis; Meteorology; Oceans; MERIS; MODIS Aqua; SeaWiFS; chlorophyll concentration; climate change initiative; essential climate variables; inherent optical properties; ocean colour; water-leaving radiances;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350979
  • Filename
    6350979