• DocumentCode
    2194575
  • Title

    Comparison of AMSR-E sea ice concentrations with aspect ship observations around Antarctica

  • Author

    Beitsch, Alexander ; Kern, Stefan ; Kaleschke, Lars

  • Author_Institution
    Inst. of Oceanogr., Univ. of Hamburg, Hamburg, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3257
  • Lastpage
    3260
  • Abstract
    We compare passive microwave-derived sea ice concentrations with ship-based observations of sea ice concentration (OBS). We focus on different retrieval algorithms that are based on Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) measurements. OBS are collected according to the Antarctic Sea Ice Processes and Climate (ASPeCt) program. We assess the quality of the satellite data by calculating correlation coefficient, root-mean-square-deviation (RMSD) and bias with respect to ASPeCt observations of sea ice concentration. All retrieval algorithms compared in this study, Comiso Bootstrap (BST), NASA-Team 2 (NT2) and Artist Sea Ice (ASI), show correlation coefficients above 0.8 for all dates considered (N=313). BST and ASI do not have a significant bias, but NT2 has a bias of 8 %. RMSD values are different for different seasons, but generally, Comiso BST has the lowest RMSD (<;13 %).
  • Keywords
    remote sensing; sea ice; AMSR-E measurements; AMSR-E sea ice concentrations; ASPeCT ship observations; ASPeCt program; Advanced Microwave Scanning Radiometer-Earth Observing System; Antarctic sea ice climate; Antarctic sea ice processes; Antarctica; Artist sea ice; Comiso Bootstrap; NASA-Team 2; correlation coefficient; passive microwave-derived sea ice concentrations; retrieval algorithms; root-mean-square-deviation; sea ice concentration ship-based observations; Antarctica; Correlation; Marine vehicles; Satellites; Sea ice; Silicon carbide; AMSR-E; ASPeCt; Antarctic; passive microwave; sea ice concentration;
  • 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.2012.6350609
  • Filename
    6350609