Title :
Hydrometeor profile characterization and drop size distribution retrieval algorithms for global precipitation measurement mission
Author :
Le, Matthew ; Chandrasekar, V.
Author_Institution :
Colorado State Univ., Fort Collins, CO, USA
Abstract :
The dual-frequency precipitation radar (DPR) on board GPM core satellite collects Ku and Ka band vertical profiles which allow us to investigate the microphysics using the difference between two frequency observations (measured dual frequency ratio or DFRm). DFRm has been shown in the literature to be rich in information and can be used to perform melting layer detection and estimate drop size distribution (DSD) parameters. This paper summarizes the candidate algorithms to perform melting layer detection and DSD retrieval for GPM-DPR. Hurricane Earl observations collected by airborne precipitation radar were used to demonstrate the application.
Keywords :
airborne radar; atmospheric precipitation; remote sensing by radar; storms; DFRm; DPR; DSD parameter estimation; DSD retrieval; GPM core satellite; GPM-DPR; Hurricane Earl observations; Ka band vertical profile; Ku band vertical profile; airborne precipitation radar; candidate algorithms; drop size distribution parameter estimation; drop size distribution retrieval algorithms; dual frequency ratio measurement; dual-frequency precipitation radar; frequency observations; global precipitation measurement mission; hydrometeor profile characterization; melting layer detection; microphysics investigation; Abstracts; Indexes; DPR; DSD retrieval; GPM; melting layer detection;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6721365