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Assimilation of observations

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Wednesday, 26 January 2011: 2:30 PM-4:00 PM
Washington State Convention Center
Host: 15th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface (IOAS-AOLS)
Papers:
 
536
Assimilation of Doppler Radar Radial Wind For High Resolution Forecast initialization at NCEP
Shun Liu, IMSG at NOAA/NWS/NCEP/EMC, College Park, MD; and D. Parrish, M. Pyle, J. Derber, W. S. Wu, and G. DiMego

 
540
Real Time Radar Quality Control for Assimilation in Numerical Models
Guangxin He, Nanjing University of Information Science and Technology, Nanjing, China; and G. Li, P. Ray, and X. Zou

Poster PDF (2.5 MB)

 
541
Evaluation of WRFDA 4D-VAR through Month-long Run and Case Study
Xiaoyan Zhang, NCAR, Boulder, CO; and X. Y. Huang and X. Zhang
Manuscript (8.5 MB)

 
542
Assimilation of Radar Radial Velocity Data with the WRF Ensemble-3DVAR Hybrid System for the Prediction of Hurricane IKE (2008)
Yongzuo Li, University of Oklahoma, Norman, OK, Norman, OK; and X. Wang and M. Xue
Manuscript (1.4 MB)

Poster PDF (1.4 MB)

 
543
Impact of cycled 3DVAR assimilation of COSMIC observations on nor'easter simulations
Stephen D. Nicholls, Rutgers University, New Brunswick, NJ; and S. G. Decker
Manuscript (2.4 MB)

 
544
Assimilation of AIRS CO2 observations with an EnKF in a Carbon-Climate model
Junjie Liu, University of California, Berkeley, CA; and E. Kalnay, I. Fung, M. Chahine, and E. T. Olsen

 
545
Study on forecasting a cold-air-damming event with the WRF-EnKF system
Linlin Pan, NCAR, Boulder, CO; and Y. Liu, W. Wu, W. Cheng, G. Descombes, H. Liu, J. Anderson, L. Monache, G. Roux, N. A. Jacobs, and P. Childs

 
546
AMSU-A Bias Correction for COAMPS/NAVDAS
William F. Campbell, NRL, Monterey, CA; and K. Sashegyi

 
547
Raising the model top for an ensemble Kalman filter
Seung-Jong Baek, EC, Dorval, QC, Canada; and P. L. Houtekamer, N. Gagnon, and X. Deng

Poster PDF (1.3 MB)

 
548
Assimilating spacecraft observations into a Mars Global Circulation Model using LETKF: managing bias and ensemble spread
Steven J. Greybush, University of Maryland, College Park, MD; and M. J. Hoffman, E. Kalnay, K. Ide, T. Miyoshi, R. N. Hoffman, J. Eluszkiewicz, and R. J. Wilson

 
550
An Regional Ensemble Kalman Filter Data Assimilation System Employing GSI Observation Processing and Initial Tests for Rapid Refresh Forecast Configurations
Kefeng Zhu, CAPS/Univ. of Oklahoma, Norman, OK; and M. Xue, X. Wang, J. Whitaker, S. Benjamin, and S. S. Weygandt

 
551
NAVDAS-AR for COAMPS
Clark M. Amerault, NRL, Monterey, CA

 
552
Improving EnKF spin-up for typhoon assimilation and prediction
Shu-Chih Yang, National Central University, Jhongli City, Taoyuan County, Taiwan; and E. Kalnay and T. Miyoshi
Manuscript (555.3 kB)

Poster PDF (4.5 MB)

 
553
Dynamics and structure of forecast error covariance for a developing hurricane
Jonathan Poterjoy, Penn State University, University Park, PA; and F. Zhang

 
554
Applying a retrospective optimal interpolation to WRF
Shin-Woo Kim, Seoul National University, Seoul, South Korea; and H. J. Song, N. K. Noh, E. Jung, and G. H. Lim

Poster PDF (1.3 MB)

 
555
A hybrid ensemble Kalman filter approach to data assimilation in WRF / DART
Lili Lei, NCAR, Boulder, CO; and D. R. Stauffer
Manuscript (710.4 kB)

Poster PDF (1.4 MB)

 
556
The Data Assimilation Research Testbed: New algorithms and applications
Jeffrey Anderson, NCAR, Boulder, CO; and G. Romine, K. Raeder, H. Liu, N. Collins, and T. Hoar

Poster PDF (4.6 MB)

 
557
NOGAPS DART: A comparison of EnKF-based and FNMOC operational ensemble forecasts
Justin McLay, NRL, Monterey, CA; and D. Hodyss, T. R. Whitcomb, J. Hansen, T. Hoar, N. Collins, and J. Anderson

 
558
A comparison between mixed and transform data assimilation schemes on short-, medium- and long-term forecasts
Erin A. Kashawlic, University of Michigan, Ann Arbor, MI; and S. J. Fletcher, J. Forsythe, A. S. Jones, and T. H. Vonder Haar

 
559
Using the Kalman-Bucy filter in an ensemble framework
Javier Amezcua, University of Maryland, College Park, MD; and E. Kalnay

Poster PDF (197.0 kB)

 
560
Markov-chain Monte Carlo assimilation of radar reflectivity to improve microphysical parameterization
Marcus van Lier-Walqui, Univ. of Miami/RSMAS, Miami, FL; and T. Vukicevic and D. J. Posselt

 
562
A stochastic parameter estimation method based on the unscented transformation
Richard Linares, University at Buffalo, Amherst, NY