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Advances in Meteorology
Volume 2013, Article ID 512656, 12 pages
http://dx.doi.org/10.1155/2013/512656
Research Article

The Development of a Hybrid EnKF-3DVAR Algorithm for Storm-Scale Data Assimilation

1Center for Analysis and Prediction of Storms, University of Oklahoma, Norman, OK 73072, USA
2NOAA/National Severe Storm Laboratory, National Weather Center 120 David L. Boren Boulevard, Norman, OK 73072, USA
3School of Meteorology, University of Oklahoma, Norman, OK 73072, USA

Received 17 May 2013; Revised 15 September 2013; Accepted 25 September 2013

Academic Editor: Kun Zhao

Copyright © 2013 Jidong Gao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [14 citations]

The following is the list of published articles that have cited the current article.

  • Gregg A. Jacobs, Brent Bartels, Darek Bogucki, F. Javier Beron-Vera, Shuyi Chen, Emanuel F. Coelho, Milan Curcic, Annalisa Griffa, Matthew Gough, Brian K. Haus, Angelique C. Haza, Robert W. Helber, Patrick J. Hogan, Helga Huntley, Mohamed Iskandarani, Falko Judt, A.D. Kirwan, Nathan Laxague, Arnoldo Valle-Levinson, Bruce Lipphardt, Arthur Mariano, Hans E. Ngodock, Guillaume Novelli, M. Josephina Olascoaga, Tamay M. Ozgokmen, Andrew C. Poje, Ad J.H.M. Reniers, Clark D. Rowley, Edward H. Ryan, Scott R. Smith, Peter L. Spence, Prasad G. Thoppil, and Mozheng Wei, “Data assimilation considerations for improved ocean predictability during the Gulf of Mexico Grand Lagrangian Deployment (GLAD),” Ocean Modelling, 2014. View at Publisher · View at Google Scholar
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