• DocumentCode
    2189822
  • Title

    Data CAL/VAL of FY-3/HY-2 MWRI with intercalibration of AQUA/AMSR-E

  • Author

    Jin, Ya-Qiu ; Chen, Hao

  • Author_Institution
    Key Lab. of Wave Scattering & Remote Sensing Inf., Fudan Univ., Shanghai, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4668
  • Lastpage
    4671
  • Abstract
    As a second generation of China´s polar meteorological satellite, the satellites of FY-3A and FY-3B launched in 2008 and 2010, respectively, carried 11 sensors, including microwave sensors such as microwave temperature sounder (MWTS), microwave humidity sounder (MWHS) and microwave radiometer imager (MWRI) etc. To fuse the MWRI and AMSR-E data and promote MWRI applicability, brightness temperature (Tb) of multi-channel MWRI are first simulated based on a radiative transfer (RT) model, and the difference between the technical features of MWRI and AMSR-E for Tb observations, correspondingly, are analyzed. Data validation of MWRI and inter-comparison with AMSR-E data are discussed for monitoring drought, precipitation and flooding happened during the periods. It lays applicability of MWRI in future operational services.
  • Keywords
    artificial satellites; atmospheric precipitation; calibration; environmental monitoring (geophysics); floods; hydrological techniques; meteorological instruments; microwave detectors; microwave imaging; radiative transfer; radiometers; remote sensing; AQUA/AMSR-E; Chinese polar meteorological satellite; FY-3/HY-2 MWRI; FY-3A satellites; FY-3B satellites; MWRI data validation; RT model; brightness temperature; data CAL/VAL; drought monitoring; flooding monitoring; intercalibration; microwave radiometer imager; microwave sensors; multichannel MWRI; precipitation monitoring; radiative transfer model; Atmospheric modeling; Floods; Indexes; Lakes; Microwave imaging; Microwave radiometry; Scattering; AMSR-E; FY-3B MWRI; IFOV; Intercomparison; Polarization index; Scattering index;
  • 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.2012.6350424
  • Filename
    6350424