Pieter L. Houtekamer
Current research and/or projects
Design of systems for probabilistic predictions using Monte Carlo methods
- Research on the limiting factors of the ensemble Kalman filter algorithm
- Intercomparison of the ensemble Kalman filter with the four dimensional variational algorithm
Professional activities / interests
Review of papers at the request of journals
Development of the ensemble Kalman filter software
Leading the development of the global ensemble prediction system
Education and awards
Ph.D., Atmospheric Dynamics, Agricultural University of Wageningen, 1992
M. Sc., Astronomy and Mathematics, University of Leiden, 1987
Norbert Gerbier – Mumm International Award, 1994, Jointly with Prof. A. Berger
P.L. Houtekamer and H.L. Mitchell. 1998. Data assimilation using an ensemble Kalman filter technique. Mon. Wea. Rev. 126: 796-811.
P.L. Houtekamer and H.L. Mitchell. 2001. A sequential ensemble Kalman filter for atmospheric data assimilation. Mon. Wea. Rev. 129:123-137.
P.L. Houtekamer, H.L. Mitchell, G. Pellerin, M. Buehner, M. Charron, L. Spacek and B. Hansen. 2005. Atmospheric data assimilation with an ensemble Kalman filter: results with real observations. Mon. Wea. Rev. 133:604-620.