DocumentCode :
3006459
Title :
Using SVD-En3DVar for Radar Data Assimilation: Comparing Local and Global Schemes
Author :
Xu Dao-Sheng ; Shao Ai-Mei ; Qiu Chong-Jian
Author_Institution :
Coll. of Atmos. Sci., Lanzhou Univ., Lanzhou, China
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
1
Lastpage :
4
Abstract :
A local scheme is introduced into the Ensemble-based 3DVar approach with SVD and is used to assimilate simulated radar observation with WRF model. Local and global schemes are compared and the sensitivities to the localization parameters are investigated. The experiments show that localization can improve the skill of analysis and forecast by avoiding spurious analysis increment in the vacant area of observation. The behave of assimilation is dependent on the localization scale.
Keywords :
radar tracking; singular value decomposition; SVD-En3DVar; localization; radar data assimilation; singular value decomposition; Analytical models; Covariance matrix; Data assimilation; Data models; Radar; Sensitivity; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
Type :
conf
DOI :
10.1109/ICMULT.2010.5631219
Filename :
5631219
Link To Document :
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