Session: Assimilation of Observations (Ocean, Atmosphere, and Land Surface) into Models: Assimilation Methods; Minimization Techniques; Forward Models and Their Adjoints; Incorporation of Constraints; Error Statistics (86th AMS Annual Meeting)

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Assimilation of Observations (Ocean, Atmosphere, and Land Surface) into Models: Assimilation Methods; Minimization Techniques; Forward Models and Their Adjoints; Incorporation of Constraints; Error Statistics

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Wednesday, 1 February 2006: 8:30 AM-12:00 PM

A405 (Georgia World Congress Center)

Host: 10th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS)

Organizers: Thomas M. Hamill, Climate Diagnostics Center/CIRES/University of Colorado, Physical Sciences Division/ESRL/NOAA, Boulder, CO and Kayo Ide, University of California, Los Angeles, CA

Papers:

8:30 AM

6.1

Application of Local Ensemble Kalman Filter: perfect model experiments with NASA fvGCM model

Junjie Liu, University of Maryland, College Park, MD; and E. Klein, H. Li, I. Szunyogh, B. Hunt, E. Kalnay, E. J. Kostelich, and R. Todling

Presentation PDF (361.2 kB)

8:45 AM

6.2

Estimation of model errors in the Local Ensemble Transform Kalman Filter

Hong Li, Shanghai Typhoon Institute, Shanghai, China, Shanghai, China; and E. Kalnay, T. Miyoshi, and C. M. Danforth

Recorded presentation

Presentation PDF (211.0 kB)

9:00 AM

6.3

Paper 6.3 moved. New paper # 2.4A.

9:01 AM

6.4

A new strategy for optimal drifter deployment using Lagrangian data assimilation method

Kayo Ide, University of California, Los Angeles, CA; and C. K. R. T. Jones and H. Salman

9:16 AM

6.5

Development of a limited-area 4d-VAR assimilation at MSC

Luc Fillion, MSC, Dorval, PQ, Canada; and M. Tanguay, S. Pellerin, N. Ek, C. Page, and M. Desgagné

9:31 AM

6.6

The characteristics of the initial state corrections obtained with the CMC key analysis errors algorithm: A dynamical perspective

Jean-Francois Caron, McGill University, Montreal, QC, Canada; and M. K. Yau, S. Laroche, and P. Zwack

9:46 AM

6.7

The Joint Hurricane Testbed (JHT): Progress and Future Plans

Christopher W. Landsea, NOAA/AOML/HRD, Miami, FL; and J. G. Jiing, R. D. Knabb, S. T. Murillo, and W. R. Seguin

10:01 AM

6.8

A comparison of 3D-Var and Ensemble Data Assimilation Methods Using the NCEP GFS

Thomas M. Hamill, NOAA-CIRES Climate Diagnostics Center, Boulder, CO; and J. S. Whitaker

Recorded presentation

10:16 AM

6.9

Conditioned verification region selection in adaptive sampling

Brian Etherton, University of North Carolina, Charlotte, NC; and C. H. Bishop and S. J. Majumdar

Recorded presentation

10:31 AM

6.10

Ensemble data assimilation applications to atmospheric and carbon cycle science

Dusanka Zupanski, CIRA/Colorado State University, Fort Collins, CO; and S. A. Denning and M. Uliasz

Recorded presentation

Presentation PDF (572.5 kB)

10:46 AM

6.11

Paper 6.11 Moved. New Paper # 6.3A

10:47 AM

6.12

Multi-platform real-time sea surface temperature analysis for the initialization of short-term operational forecasts

Steven M. Lazarus, Florida Institute of Technology, Melbourne, FL; and C. G. Calvert, M. E. Splitt, D. W. Sharp, P. Blottman, S. M. Spratt, and P. Santos

Recorded presentation

Presentation PDF (627.1 kB)

11:02 AM

6.3a

Comparison of ensemble-based and variational-based data assimilation schemes in a quasi-geostrophic model (Formerly Paper 6.11)

Shu-Chih Yang, Univ. of Maryland, College Park, MD; and M. Corazza, A. Carrassi, E. Kalnay, and T. Miyoshi

Presentation PDF (147.2 kB)

11:16 AM

6.6a

Coffee Break in Meeting Room Foyer

11:46 AM

6.11a