DocumentCode :
3064880
Title :
Multi-grid Analysis of the Three-Dimensional Doppler Radar Radial Velocity: Idealized Cases Study
Author :
Li, Wei ; Xie, Yuanfu
Author_Institution :
Nat. Marine Data & Inf. Service, Key Lab. of Marine Environ. Inf. Technol., State Oceanic Adm., Tianjin, China
fYear :
2012
fDate :
23-26 June 2012
Firstpage :
813
Lastpage :
816
Abstract :
Through idealized experiments, this study is to test the performance of multi-grid three-dimensional variantional (3D-Var) on three-dimensional (3D) Doppler radar radial velocity data assimilation, and to what degree the 3D Doppler radar radial velocity can improve the conventional (in situ) wind observation analysis. A two-scale idealized wind field is constructed, and then random-distributed conventional wind data and 3D Doppler radar radial velocity data are generated based on this idealized wind field. By assimilating these data and comparing the analyses with the true idealized circulation field, the multi-grid 3D-Var performance in 3D Doppler radar radial velocity analysis is evaluated. The effects of weak constraint and strong constraint on the multi-grid 3D-Var analyses are also presented. Results show that the 3D Doppler radar radial velocity data do provide additional useful information especially in the sparse distributed conventional observation situation, and the multi-grid 3D-Var with strong constraint can make better analyses on not only horizontal but also vertical velocity.
Keywords :
Doppler radar; data analysis; data assimilation; 3D Doppler radar radial velocity data assimilation analysis; multigrid 3D-Var performance analysis; multigrid three-dimensional variational analysis; three-dimensional Doppler radar radial velocity; true idealized circulation field; two-scale idealized wind field; wind observation analysis; Data assimilation; Distributed databases; Doppler radar; Equations; Wind; 3D-Var; Doppler Radar Radial Velocity; data assimilation; multi-grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-1365-0
Type :
conf
DOI :
10.1109/CSO.2012.183
Filename :
6274847
Link To Document :
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