Title :
Examination of surface cross section statistics over ocean and land
Author :
Mubarak, K. ; Almidfa, K. ; Chandrasekar, V.
Author_Institution :
Etisalat Coll. of Eng., Sharjah, United Arab Emirates
Abstract :
Weather radars that operate at frequencies higher than about 3 GHz can he affected adversely by rain attenuation. However, for spaceborne applications, where the size and mass of the antenna are limited, adequate spatial resolution can be obtained only by increasing the frequency. For the Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR), the use of 13.8-GHz frequency with a 2-m antenna size represents a compromise between the desire to minimize the antenna size and rain attenuation and maximize the spatial resolution. As demonstrated by Hitschfeld and Bordan (1954) in their classic study, estimates of rain rate from a single-attenuating wavelength radar are unstable when the path attenuation is large, unless the radar constant and the drop size distribution are known to a high degree of accuracy. Because these conditions are seldom met, an alternative strategy is needed to complement the Hitschfeld-Bordan method for moderate and high rain rates. One of the proposed ways of estimating attenuation is the surface reference technique (SRT). In this work, the data from TRMM PR is used to study the statistical characteristics of the surface return (s0) as a function of the surface type (ocean/land) and incident angles during rain and rain-free times, this analysis is further used to study the effectiveness of using surface return as the reference.
Keywords :
airborne radar; atmospheric techniques; meteorological radar; radar antennas; rain; remote sensing by radar; 13.8 GHz; 2 m; Hitschfeld-Bordan method; Tropical Rainfall Measuring Mission; antenna size; drop size distribution; precipitation radar; rain attenuation; single-attenuating wavelength radar; spatial resolution; surface cross section; surface reference technique; weather radars; Attenuation; Frequency; Land surface; Oceans; Radar antennas; Rain; Sea surface; Spaceborne radar; Spatial resolution; Statistics;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1370480