• DocumentCode
    30664
  • Title

    A Physically Based Soil Moisture and Microwave Emissivity Data Set for Global Precipitation Measurement (GPM) Applications

  • Author

    Turk, Francis Joseph ; Li Li ; Haddad, Ziad S.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    52
  • Issue
    12
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    7637
  • Lastpage
    7650
  • Abstract
    The joint National Aeronautics and Space Administration and Japanese Aerospace Exploration Agency (JAXA) Global Precipitation Measurement (GPM) mission will provide considerably more observations over complex and dynamically changing land backgrounds. A physically based precipitation retrieval using GPM´s satellite constellation of passive microwave (PMW) observations has to accommodate the spatially and temporally varying radiometric signature of the land surface to constrain the set of candidate rainfall solutions. The challenge for retrieval algorithms is to identify and isolate precipitation profiles whose simulated observations agree with the satellite observations and are also representative of the surface conditions. Microwave emissivity modeling results are presented from a physically based land algorithm that retrieves soil moisture, vegetation water content, and surface temperature, along with the emissivity using polarized 10, 18, and 37 GHz channel measurements from the WindSat sensor onboard the Coriolis satellite, and results from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI). The emissivity mean, coefficient of variation, covariance, and correlation slope are examined for the range of clear-scene surface properties observed by WindSat and TRMM between 2003-2012 and 2002-2011, respectively, under a range of seasons, time of day, rain events, etc. These joint data provide a means to examine the extent to which the surface geophysical properties control the microwave land surface emissivity covariability, to better utilize these lower frequency observations in overland PMW-based precipitation retrievals.
  • Keywords
    atmospheric precipitation; emissivity; radiometry; remote sensing; soil; AD 2002 to 2011; AD 2003 to 2012; Coriolis satellite; GPM mission; Global Precipitation Measurement; Japanese Aerospace Exploration Agency; National Aeronautics and Space Administration; TMI instrument; TRMM Microwave Imager; Tropical Rainfall Measuring Mission; WindSat; frequency 10 GHz; frequency 18 GHz; frequency 37 GHz; microwave emissivity data set; passive microwave observations; rainfall; soil moisture; spatially varying radiometric signature; temporally varying radiometric signature; Land surface; Microwave measurement; Microwave radiometry; Ocean temperature; Sea surface; Soil moisture; Vegetation mapping; Emissivity; Global Precipitation Measurement (GPM); Tropical Rainfall Measuring Mission (TRMM); land; microwave; precipitation; radiometer; satellite; vegetation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2014.2315809
  • Filename
    6824177