Local Ensemble Transform Kalman Filter Experiments with the Nonhydrostatic Icosahedral Atmospheric Model NICAM-Reference-Cited by-同舟云学术

Local Ensemble Transform Kalman Filter Experiments with the Nonhydrostatic Icosahedral Atmospheric Model NICAM

Published:2015 Issue:0 Volume:11 Page:23-26
ISSN:1349-6476
Container-title:SOLA
language:en
Short-container-title:SOLA

Author:

Terasaki Koji¹,Sawada Masahiro²,Miyoshi Takemasa¹³⁴

Affiliation:

1. RIKEN Advanced Institute for Computational Science

2. Atmosphere and Ocean Research Institute, The University of Tokyo

3. University of Maryland, College Park

4. Japan Agency for Marine-Earth Science and Technology

Publisher

Meteorological Society of Japan

Subject

Atmospheric Science

Link

https://www.jstage.jst.go.jp/article/sola/11/0/11_2015-006/_pdf

Reference13 articles.

1. Bishop, C. H., B. J. Eherton, and S. J. Majumdar, 2001: Adaptive sampling with the ensemble transform Kalman filter. Part I: Theoretical aspects. Mon. Wea. Rev., 129, 420-436.

2. Brian, R. H., E. J. Kostelich, and I. Szunyogh, 2007: Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter. Physica D, 230, 112-136, doi:10.1016/j.physd.2006.11.008.

3. Dee, D. P., and 35 co-authors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. R. Meteorol. Soc., 137, 553-597. doi:10.1002/qj.828.

4. Kondo, K., and H. L. Tanaka, 2009: Applying the Local Ensemble Transform Kalman Filter to the Nonhydrostatic Icosahedral Atmospheric Model (NICAM). SOLA, 5, 121-124, doi:10.2151/sola.2009-031.

5. Miyoshi, T., 2005: Ensemble Kalman filter experiments with a primitive-equation global model. Ph.D. dissertation, University of Maryland, College Park, 197pp.

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