Title :
Is it better to assimilate the Doppler radar radial velocity directly than retrieved winds with Ensemble Kalman Filter?
Author :
Yang, Yi ; Zhang, Xuanze ; Wen, Deyao ; Wang, Zhenghu ; Shao, Aimei
Author_Institution :
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, China
Abstract :
The comparison of two methods of assimilating Doppler radar wind data with Ensemble Kalman Filter (EnKF) based WRF model is presented. One is to assimilate simulated radar radial velocity observations directly. The other is to assimilate the horizontal winds retrieved from Doppler radar Data. Result shows that the second method which assimilated retrieved winds with small retrieval error gives better analysis than the first method does.
Keywords :
Data assimilation; Data models; Doppler radar; Kalman filters; Mathematical model; Predictive models; Assimilation; Doppler radar; Ensemble Kalman Filter (EnKF); Radial Velocity; Retrieve;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691924
