• DocumentCode
    792507
  • Title

    A cautionary note on the use of Gaussian statistics in Satellite-based UTH climatologies

  • Author

    John, V.O. ; Buehler, S.A. ; Courcoux, N.

  • Author_Institution
    Inst. of Environ. Phys., Univ. of Bremen, Germany
  • Volume
    3
  • Issue
    1
  • fYear
    2006
  • Firstpage
    130
  • Lastpage
    134
  • Abstract
    This letter presents a cautionary note on the assumption of Gaussian behavior for upper tropospheric humidity (UTH) derived from satellite data in climatological studies, which can introduce a wet bias in the climatology. An example study using European Centre for Medium-Range Weather Forecasts reanalysis data shows that this wet bias can reach up to 6 %RH, which is significant for climatological applications. A simple Monte Carlo approach demonstrates that these differences and their link to the variability of brightness temperatures are due to a log-normal distribution of the UTH. This problem can be solved by using robust estimators such as the median instead of the arithmetic mean.
  • Keywords
    Gaussian processes; atmospheric humidity; atmospheric techniques; climatology; remote sensing; European Centre for Medium-Range Weather Forecasts reanalysis data; Gaussian behavior; Gaussian statistics; Monte Carlo approach; brightness temperatures; climatology; log-normal distribution; satellite data; upper tropospheric humidity; wet bias; Arithmetic; Brightness temperature; Humidity measurement; Log-normal distribution; Microwave measurements; Monte Carlo methods; Robustness; Satellites; Statistics; Weather forecasting; Climatology; Gaussian statistics; median; upper tropospheric humidity (UTH);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2005.859350
  • Filename
    1576705