Seasonal prediction with the Ensemble Kalman Filter
Abstract
The Data Assimilation group at the Frontier Research System for Global Change is developing an ensemble kalman filtering system for seasonal prediction. Currently, our system is based on a global ocean primitive equation model at 1 degree resolution, but a high resolution fully coupled atmosphere-ocean model is also under development for use on the Earth Simulator supercomputer. This presentation will focus on the analysis component of the system and the practical problems we have encountered with this pre-operational implementation. We present some preliminary results obtained with data from the ARGO buoy network and plans for future development.
- Publication:
-
EGS - AGU - EUG Joint Assembly
- Pub Date:
- April 2003
- Bibcode:
- 2003EAEJA.....2415A