Session 14 Data Assimilation: Advances in Methodologies 2

Thursday, 26 January 2017: 1:30 PM-3:00 PM
607 (Washington State Convention Center )
Host: 21st Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface
Chair:
Chris Snyder, NCAR, Boulder, CO

Papers:
1:30 PM
14.1
Is 30-Second Update Fast Enough for Convection-Resolving Data Assimilation?
Takemasa Miyoshi, RIKEN, Kobe, Japan; and J. J. Ruiz, G. Y. Lien, T. Teramura, K. Kondo, Y. Maejima, T. Honda, and S. Otsuka
Recorded Presentation

1:45 PM
14.2
Accounting for the Horizontal Observation Error Correlations in the Local Ensemble Transform Kalman Filter: Observing System Simulation Experiments
Koji Terasaki, RIKEN Advanced Institute for Computational Science, Kobe, Japan; and T. Miyoshi
Recorded Presentation

2:00 PM
14.3
Development of the Adjoint-free 4dVar Technique for Regional Models
Max Yaremchuk, NRL, Stennis Space Center, MS; and M. J. Carrier, G. Panteleev, and P. Martin
Recorded Presentation

4.4
Multivariate Correlations in Ensemble Data Assimilation: Balance Operators and Localization

2:15 PM
14.5
Using Observations with Correlated Error Variance in Sequential Ensemble Filters
Jeffrey Anderson, NCAR, Boulder, CO
Recorded Presentation

2:30 PM
14.6
Comparison Between Observation Space Localization and Model Space Localization in a Four-Dimensional Ensemble-Variational System
Le Duc, Japan Agency for Marine-Earth Science and Technology, Yokohama-city, Japan; and K. Saito and S. Yokota
Recorded Presentation

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