Global ensemble forecast system makes use of Ensemble Transform Kalman Filter (ETKF), to generate initial perturbation. Mathematical formulation based on Kalman Filter theory is used to make efficient ensemble forecasting. The observation from conventional data assimilation system and satellites account to the accuracy of the system. Experiments are carried out with and without Winter Storm Reconnaissance (WSR) data at particular times to study the impact of observations. The results show that more observations will reduce the errors.
|Number of pages||5|
|Journal||Bulletin of the American Meteorological Society|
|Publication status||Published - Jun 1 2004|
|Event||Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States|
Duration: Jan 11 2004 → Jan 15 2004
ASJC Scopus subject areas
- Atmospheric Science