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
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);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2005.859350