Paper Info
Title
Dual-frequency dual-polarized Doppler radar (D3R) system for GPM ground validation: Update and recent field observations
Abstract
Dual wavelength precipitation radar (DPR) is planned to be deployed in the GPM core satellite. The DPR is expected to provide improved characterization of the raindrop size distribution ( DSD), as well as rainfall rate estimation from a combination of Ku band and Ka band radar measurement [1]. The Ku band radar is nearly same as the TRMM Precipitation radar. The Ka band provides higher sensitivity and can be useful in the measurement of snow and light rain. In contrast to TRMM the dual wavelength retrieval methods will use two DSD parameters to characterize the precipitation medium. The underlying precipitation structures, hydrometeors and DSDs dictate the type of models or retrieval algorithms that can be used to estimate precipitation. Having dual wavelength radar on the ground, with the potential for in-situ observations, or coordinated observations provide excellent opportunity to develop microphysical and system models for retrievals. Therefore a beam aligned dual-wavelength system consisting of Ku and Ka bands can be very useful as a ground validation tool. In addition if these systems can be dual-polarized, then these can be self-consistent cross validation tools. This paper describes the NASA Dual polarized, dual frequency Doppler radar, developed for the ground validation program.
Year
DOI
Venue
2012
10.1109/IGARSS.2012.6351567
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
Doppler radar,atmospheric measuring apparatus,atmospheric techniques,meteorology,radar polarimetry,rain,snow,DSD parameters,GPM core satellite,GPM ground validation,Ka band radar measurement,Ku band radar measurement,NASA dual polarized dual frequency Doppler radar system,TRMM Precipitation radar,dual wavelength precipitation radar,dual wavelength retrieval methods,dual-wavelength system,field observations,ground validation program,ground validation tool,hydrometeors,light rain,microphysical model,precipitation medium,precipitation structures,raindrop size distribution,rainfall rate estimation,self-consistent cross validation tools,snow,system model,DSD,Dual frequency Radar,GPM
Radar,Meteorology,Radar engineering details,Doppler radar,Weather radar,Ku band,Space-based radar,Computer science,Remote sensing,Ka band,3D radar
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4673-1158-8
978-1-4673-1158-8
0
PageRank 
References 
Authors
0.34
4
4
Name
Order
Citations
PageRank
Chandrasekar, V.100.34
Schwaller, M.210.95
Vega, M.3161.98
Carswell, J.442.07