Session 3 Data Assimilation, Reanalysis and Data–Model Integration

Monday, 8 January 2018: 2:00 PM-4:15 PM
Room 4ABC (ACC) (Austin, Texas)
Host: Third Symposium on Multi-scale Predictability: Data-model Integration and Uncertainty Quantification for Climate and Earth System Monitoring and Prediction
Chair:
Kerry A. Emanuel, MIT, Department of Earth, Atmospheric and Planetary Sciences, Cambridge, MA

Papers:
2:00 PM
3.1
Using the Data Assimilation Research Testbed for Climate System Applications (Invited Presentation)
Jeffrey Anderson, NCAR, Boulder, CO
Recorded Presentation

2:30 PM
3.2
Climate Reanalysis: Progress and Future Prospects (Invited Presentation)
Ronald Gelaro, NASA GSFC, Greenbelt, MD
Recorded Presentation

3:00 PM
3.3
Exploring Online Data Assimilation for Paleoclimate Reconstruction Using an Idealized OSSE Framework
Atsushi Okazaki, RIKEN, Kobe, Japan; and T. Miyoshi, K. Yoshimura, and F. Zhang
Recorded Presentation

3:15 PM
3.4
Earth System Modeling 2.0: A Blueprint for Models that Learn from Global Observations and Targeted High-Resolution Simulations (Invited Presentation)
Tapio Schneider, California Institute of Technology, Pasadena, CA; and S. Lan, A. Stuart, and J. Teixeira

3:45 PM
3.5
Tests of Single-Column Model Physics Using RACORO Data and Bayesian Calibration
Charles Jackson, Univ. of Texas, Austin, TX; and A. M. Vogelmann and W. Lin
Recorded Presentation

4:00 PM
3.6
Ensemble-Based Simultaneous State and Parameter Estimation (ESSPE)—A Generalized Data Assimilation Software Infrastructure for Earth System Data–Model Integration and Uncertainty Quantification
Fuqing Zhang, Pennsylvania State Univ., State College, PA
Recorded Presentation

- Indicates paper has been withdrawn from meeting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