• DocumentCode
    2194551
  • Title

    Influence of melt ponds on microwave sensors´ sea ice concentration retrieval algorithms

  • Author

    Rösel, Anja ; Kaleschke, Lars

  • Author_Institution
    Inst. of Oceanogr., Univ. of Hamburg, Hamburg, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3261
  • Lastpage
    3264
  • Abstract
    The introduced MODIS melt pond fractions and it´s corresponding sea ice concentration data set are valuable sources for multiple applications in Climate sciences. Knowledge about the occurrence of melt ponds is essential to properly document the energy balance on the sea ice surface during summer. Additionally, melt pond fractions can be used to quantify the uncertainties in sea ice concentration data derived from passive microwave imagery. As shown in Figure 1, the MODIS melt pond fractions can be used to estimate the influence of melt ponds on the sea ice concentration determination from microwave sensors like AMSR-E. In this example, all AMSR-E algorithms are clearly underestimating MODIS sea ice concentration by around 20-30%. In the final paper a detailed analysis of the uncertainties caused by melt ponds and an assessment of the different sea ice concentration retrieval methods will be given.
  • Keywords
    data acquisition; melting; microwave measurement; oceanographic techniques; radiometry; remote sensing; sea ice; AMSR-E algorithm; MODIS melt pond fraction; climate science; energy balance; melt pond occurrence; microwave sensor sea ice concentration retrieval algorithm; passive microwave imagery; sea ice concentration data set; sea ice concentration determination; sea ice surface; uncertainty analysis; MODIS; Microwave FET integrated circuits; Microwave imaging; Microwave integrated circuits; Ocean temperature; Sea ice; Sea surface;
  • 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.2012.6350608
  • Filename
    6350608