DocumentCode :
2229081
Title :
Bayesian formulation of DSD retrieval algorithm for dual-polarized X-band weather radar network
Author :
Yoshikawa, Eiichi ; Chandrasekar, V. ; Ushio, Tomoo ; Kawasaki, Zen
Author_Institution :
Osaka Univ., Suita, Japan
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
6055
Lastpage :
6058
Abstract :
Raindrop size distribution (DSD) retrieval algorithm for a weather radar network consisting of X-band dual-polarization weather radars is proposed. This algorithm is based on a DSD retrieval method for a single-radar (SRR), which is elaborated in our paper of the SRR, “RAINDROP SIZE DISTRIBUTION (DSD) RETRIEVAL FOR X-BAND DUAL-POLARIZATION RADAR” in this conference. The SRR outputs an ML solution of the two DSD parameters of the normalized Gamma DSD, Nw and D0. The proposed algorithm calculates posterior probability of the DSD profile with the use of a prior probability, and then, the posterior probabilities on different polar coordinates are integrated to that on a common Cartesian grid by Bayesian theorem. An example of the numerical simulation shows that the fluctuated DSD profiles of the SRRs are improved to less fluctuated DSD profiles on a common Cartesian grid with spatially homogeneous quality.
Keywords :
Bayes methods; atmospheric techniques; drops; gamma distribution; meteorological radar; numerical analysis; radar polarimetry; rain; Bayesian formulation; Bayesian theorem; Cartesian grid; DSD parameters; DSD retrieval algorithm; ML solution; dual-polarized X-band weather radar network; fluctuated DSD profiles; normalized Gamma DSD; numerical simulation; polar coordinates; posterior probability; prior probability; raindrop size distribution retrieval algorithm; spatially homogeneous quality; Bayesian methods; Meteorological radar; Meteorology; Numerical simulation; Radar polarimetry; DSD retrieval; X-band radar; dual-polarization; radar network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352226
Filename :
6352226
Link To Document :
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