Pieter L. Houtekamer

Research Scientist - Ensemble prediction research
Environment and Climate Change Canada

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

Key publications

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.