Session 8 Use of Data Assimilation and Ensemble Forecasting to Enhance Predictability

Tuesday, 25 July 2017: 3:30 PM-5:15 PM
Coral Reef Harbor (Crowne Plaza San Diego)
Host: 17th Conference on Mesoscale Processes
Cochairs:
Erin B. Munsell, GSFC, Greenbelt, MD and Fuqing Zhang, Pennsylvania State Univ., Center for Advanced Data Assimilation and Predictability Techniques, and Department of Meteorology and Atmospheric Sciences, State College, PA

Papers:
3:30 PM
8.1
Assessing Ensemble Forecast Performance for Select Members Available in the Community Leveraged Unified Ensemble (CLUE) during 2017 Hazardous Weather Testbed Spring Forecasting Experiment (HWT-SFE)
Jamie K. Wolff, NCAR, Boulder, CO; and M. Harrold, I. Jankov, and J. Beck
Recorded Presentation

3:45 PM
8.2
Correlation Length Scale and Data Assimilation of Radar and Satellite Observations in Convection-Permitting Ensemble Simulations of a Severe Thunderstorm Event
Yunji Zhang, Pennsylvania State Univ., State College, PA; and F. Zhang
Recorded Presentation

8.3
Sensitivity of Idealized Supercell Evolution to UAS Data Assimilation in an OSSE Framework

4:00 PM
8.4
Multiscale Ensemble Sensitivity Analysis of Two Landfalling Atmospheric River Events during January and February 2017
Minghua Zheng, SIO, La Jolla, CA; and B. Cornuelle and F. M. Ralph

4:15 PM
8.5
Improving Vortex Initialization and Hurricane Forecasting through Ensemble-3DVar Hybrid Data Assimilation
Zhaoxia Pu, Univ. of Utah, Salt Lake City, UT; and S. Zhang
Recorded Presentation

8.6
Statistical Post-processing of High-resolution Marine Stratus Cloud Forecast Data with Bayesian Estimation and Markov Chain Monte Carlo Sampling Methods

4:30 PM
8.7
Generalized Covariance Functions for Mesoscale Wind Analysis and Data Assimilation
Qin Xu, NSSL, Norman, OK; and K. Nai and L. Wei
Recorded Presentation Manuscript (1.3 MB)

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