Paper
12 May 2005 A simulation study for deriving cloud liquid water path from space-borne microwave radiometric measurements
Songtao Liu, Wei Yan
Author Affiliations +
Proceedings Volume 5832, Optical Technologies for Atmospheric, Ocean, and Environmental Studies; (2005) https://doi.org/10.1117/12.619736
Event: Optical Technologies for Atmospheric, Ocean, and Environmental Studies, 2004, Beijing, China
Abstract
Cloud liquid water path (L) (i.e. vertically integrated cloud liquid water) is an important parameter in meteorology and cloud physics. However the actual measurements of L are too limited to build and validate the retrieval algorithm. The space-borne microwave radiometer is the most powerful tool for monitoring the distribution and variation of L on global scale. The Advanced Microwave Scanning Radiometer on EOS (AMSR-E) is a high-powered space-borne microwave radiometer. This paper combines the physico-statistical method of Chen with the microwave radiative transfer model developed by Wentz. A linear regression relationship of L versus the difference of brightness temperature (ΔTB) between cloudy and clear atmospheres is built and a preliminary retrieval result is given. This algorithm has two advantages. Firstly it only uses the TB measurements of two channels (i.e. a retrieval channel and a low frequency channel) while the ocean algorithm needs all channels' TB measurements to retrieve L. Secondly the resolution of L can arrive at 12km while the one derived from Special Sensor Microwave/Imager (SSM/I) is 27km. This algorithm is valid for clear and cloudy skies and for light rain up to about 2 mm/h. Numerical comparative study shows that this algorithm is feasible in general although the result needs a modification.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Songtao Liu and Wei Yan "A simulation study for deriving cloud liquid water path from space-borne microwave radiometric measurements", Proc. SPIE 5832, Optical Technologies for Atmospheric, Ocean, and Environmental Studies, (12 May 2005); https://doi.org/10.1117/12.619736
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KEYWORDS
Clouds

Microwave radiation

Algorithm development

Liquids

Atmospheric modeling

Radiometry

Radiative transfer

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