Simple Sensitivity Analysis Using Ensemble Forecasts
Author:
Affiliation:
1. Application Laboratory, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
2. Disaster Prevention Research Institute, Kyoto University, Uji, Japan
3. Faculty of Science and Engineering, Doshisha University, Kyotanabe, Japan
Publisher
Meteorological Society of Japan
Subject
Atmospheric Science
Link
https://www.jstage.jst.go.jp/article/jmsj/93/2/93_2015-011/_pdf
Reference31 articles.
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2. Bishop, C. H., and Z. Toth, 1999: Ensemble transformation and adaptive observations. J. Atmos. Sci., 56, 1748-1765.
3. Bishop, C. H., J. Etherton, and S. J. Majumdar, 2001: Adaptive sampling with the ensemble transform Kalman filter. Part I: Theoretical aspects. Mon. Wea. Rev., 129, 420-436.
4. Buizza, R., and A. Montani, 1999: Targeting observations using singular vectors. J. Atmos. Sci., 56, 2965-2985.
5. Buizza, R., J. Tribbia, F. Molteni, and T. Palmer, 1993: Computation of optimal unstable structures for a numerical weather prediction model. Tellus A, 45, 388-407.
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