DocumentCode
765244
Title
An empirical algorithm for cloud liquid water from MSMR and its utilization in rain identification
Author
Varma, Atul Kumar ; Pokhrel, Samir ; Gairola, Rakesh Mohan ; Agarwal, Vijay K.
Author_Institution
Meteorol. & Oceanogr. Group, Oceanic Sci. Div., Ahmedabad, India
Volume
41
Issue
8
fYear
2003
Firstpage
1853
Lastpage
1858
Abstract
In this paper, an empirical method to estimate cloud liquid water from Indian Remote Sensing P4 (IRS-P4) Multi-frequency Scanning Microwave Radiometer (MSMR) measurements is presented. MSMR brightness temperatures are collocated with concurrent observations of the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI)-derived cloud liquid water. The multiple-correlation coefficient between TMI-derived cloud liquid water and logarithmic of MSMR-derived brightness temperatures, and their differences at 18- and 21-GHz channels, is found to be about 82.4%. The relationship thus obtained has an rms error of 8.75 mgcm-2 in the measurements of cloud liquid water from MSMR with respect to TMI measurements. Verification of the algorithm is carried out with another set of concurrent measurements from MSMR and TMI. Further, the MSMR-derived cloud liquid water over the global oceans and for extreme weather conditions (cyclone) are compared with that from TMI and the Special Sensor Microwave/Imager (SSM/I) for independent verification. The cloud liquid water from MSMR is further used to successfully delineate rain events for quantitative estimation of rain rate from MSMR.
Keywords
atmospheric techniques; clouds; radiometry; rain; remote sensing; 18 GHz; 21 GHz; IRS-P4; Indian Remote Sensing P4; MSMR; Multi-frequency Scanning Microwave Radiometer; SHF; atmosphere; cloud; empirical algorithm; empirical method; liquid water content; measurement technique; meteorology; microwave radiometry; rain; rain identification; rainfall; remote sensing; satellite remote sensing; Brightness temperature; Clouds; Cyclones; Microwave measurements; Microwave radiometry; Microwave theory and techniques; Oceans; Rain; Remote sensing; Sea measurements;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2003.813848
Filename
1221794
Link To Document