Title :
Advanced Data Assimilation for Cloud-Resolving Hurricane Initialization and Prediction
Author :
Weng, Yonghui ; Zhang, Meng ; Zhang, Fuqing
Author_Institution :
Dept. of Meteorol., Pennsylvania State Univ., University Park, PA, USA
Abstract :
Data assimilation aims to decrease errors in initial conditions of numerical weather prediction models, which are a primary source of uncertainty in hurricane prediction. This study examines the performance of three advanced techniques that assimilate inner-core, high-resolution Doppler radar observations for cloud-resolving hurricane initialization and forecasting for Hurricane Katrina.
Keywords :
Doppler radar; clouds; data assimilation; storms; weather forecasting; cloud-resolving hurricane initialization; cloud-resolving hurricane prediction; data assimilation; high-resolution Doppler radar observations; hurricane Katrina; numerical weather prediction models; Data assimilation; Data models; Doppler radar; Hurricanes; Predictive models; Weather forecasting; 3DVar; 4DVar; Hurricane Katrina; cloud-resolving ensemble analysis and forecasting; ensemble Kalman filter; hurricane prediction; radar data assimilation;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2011.18
