Tailored Ensemble Prediction Systems: Application of Seamless Scale Bred Vectors
Author:
Affiliation:
1. Meteorology Group, Physics Department, University of the Balearic Islands, Spain
2. Department of Meteorology and Atmospheric Science, The Pennsylvania State University, Pennsylvania, USA
Publisher
Meteorological Society of Japan
Subject
Atmospheric Science
Link
https://www.jstage.jst.go.jp/article/jmsj/98/5/98_2020-053/_pdf
Reference63 articles.
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2. Annan, J., 2004: On the orthogonality of bred vectors. Mon. Wea. Rev., 132, 843-849.
3. Berner, J., G. Shutts, M. Leutbecher, and T. Palmer, 2009: A spectral stochastic kinetic energy backscatter scheme and its impact on flow-dependent predictability in the ECMWF ensemble prediction system. J. Atmos. Sci., 66, 603-626.
4. Bowler, N., 2006: Comparison of error breeding, singular vectors, random perturbations and ensemble Kalman filter perturbation strategies on a simple model. Tellus A, 58, 538-548.
5. Bretherton, C. S., M. Widmann, V. Dymnikov, J. Wallace, and I. Bladé, 1999: The effective number of spatial degrees of freedom of a time-varying field. J. Climate, 12, 1990-2009.
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