Improving quantitative precipitation nowcasting with a local ensemble transform Kalman filter radar data assimilation system: observing system simulation experiments

Improving quantitative precipitation nowcasting with a local ensemble transform Kalman filter radar data assimilation system: observing system simulation experiments

This study develops a Doppler radar data assimilation system, which couples the local ensemble transform Kalman filter with the Weather Research and Forecasting model. The benefits of this system to quantitative precipitation nowcasting (QPN) are evaluated with observing system simulation experiment...

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Bibliographic Details
Main Authors:	Chih-Chien Tsai, Shu-Chih Yang, Yu-Chieng Liou
Format:	Article
Language:	English
Published:	Stockholm University Press 2014-03-01
Series:	Tellus: Series A, Dynamic Meteorology and Oceanography
Subjects:	radar data assimilation local ensemble transform Kalman filter quantitative precipitation nowcasting observing system simulation experiment mixed localisation method
Online Access:	http://www.tellusa.net/index.php/tellusa/article/download/21804/pdf_1

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