• DocumentCode
    737684
  • Title

    Retrieving Layer-Averaged Tropospheric Humidity From Advanced Technology Microwave Sounder Water Vapor Channels

  • Author

    Moradi, Isaac ; Ferraro, Ralph R. ; Soden, Brian J. ; Eriksson, Patrick ; Arkin, Phillip

  • Volume
    53
  • Issue
    12
  • fYear
    2015
  • Firstpage
    6675
  • Lastpage
    6688
  • Abstract
    A method is presented to calculate layer-averaged tropospheric humidity (LAH) from the observations of the Advanced Technology Microwave Sounder (ATMS) water vapor channels. The method is based on a linear relation between the satellite brightness temperatures (Tb) and natural logarithm of Jacobian weighted humidity. The empirical coefficients of this linear relation were calculated using different data sets, as well as a fast and a line-by-line radiative transfer (RT) model. It was found that the coefficients do not significantly depend on the data set or the RT model. This Tb to the LAH transformation method can be applied to either original or limb-corrected ATMS Tb´s. The method was validated using both simulated and observed ATMS Tb´s. The systematic difference between the estimated and calculated LAH values was less than 10% in most cases. We also tested the transformation method using a fixed Jacobian for each channel. The bias generally increases when fixed Jacobians are used, but there is still a satisfactory agreement between estimated and calculated LAH values. In addition, the spatial distribution of the bias was investigated using the European Center for Medium-Range Weather Forecasting (ECMWF) Interim Reanalysis (ERA-interim) and collocated ATMS observations. The bias did not indicate any significant regional dependence when actual Jacobians were used, but in the case of fixed Jacobians, the bias generally increased from middle latitude toward the poles.
  • Keywords
    Atmospheric modeling; Data models; Humidity; Jacobian matrices; Microwave theory and techniques; Satellite broadcasting; Satellites; Climate change; hydrology; joint polar satellite system (JPSS); microwave; remote sensing; water vapor;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2015.2445832
  • Filename
    7150548