Poster Session 2 Assimilation of observations

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)

Assimilation of Doppler Radar Radial Wind For High Resolution Forecast initialization at NCEP
Shun Liu, IMSG and NOAA/NWS/NCEP/EMC, College Park, MD; and D. Parrish, M. Pyle, J. Derber, W. S. Wu, and G. DiMego

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

Handout (2.5 MB)

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)

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)

Handout (1.4 MB)

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)

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

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. delle Monache, G. Roux, N. A. Jacobs, and P. Childs

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

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

Handout (1.3 MB)

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

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

Clark M. Amerault, NRL, Monterey, CA

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)

Handout (4.5 MB)

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

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

Handout (1.3 MB)

A hybrid ensemble Kalman filter approach to data assimilation in WRF / DART
Lili Lei, University of Colorado, CIRES Climate Diagnostics Center, Boulder, CO; and D. R. Stauffer
Manuscript (710.4 kB)

Handout (1.4 MB)

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. J. Hoar

Handout (4.6 MB)

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. J. Hoar, N. Collins, and J. Anderson

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

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

Handout (197.0 kB)

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

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

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner