NG003
Advances in Data Assimilation, Predictability, and Uncertainty Quantification I

Monday, 14 December 2020: 10:00-11:00
Virtual
Primary Convener:  Steven J Fletcher, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
Conveners:  Brian C Ancell, Texas Tech Univ-Geosciences, Lubbock, TX, United States, Derek J Posselt, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States and Matthias Morzfeld, Scripps Institution of Oceanography, La Jolla, CA, United States
Primary Liaison:  Steven J Fletcher, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
Chairs:  Steven J Fletcher, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, Brian C Ancell, Texas Tech Univ-Geosciences, Lubbock, TX, United States, Derek J Posselt, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States and Matthias Morzfeld, Scripps Institution of Oceanography, La Jolla, CA, United States
OSPA Liaison:  Steven J Fletcher, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
10:00
NG003-01
Measuring theoretical and actual observation influence in the Met Office UKV: application to Doppler radial winds (Invited) (725159)
Alison Fowler, University of Reading, Earley, County (optional), United Kingdom, David Simonin, Met Office@Reading, Reading, United Kingdom and Joanne Waller, MetOffice@Reading, Reading, United Kingdom
10:04
NG003-02
Dynamic Likelihood Filter: A Data Assimilation Scheme that Exploits Hyperbolicity in Wave Problems to Propagate Observations (668200)
Dallas Foster, Oregon State University, Corvallis, OR, United States and Juan M. Restrepo, Oak Ridge National Laboratory, Computer Science and Mathematics Division, Oak Ridge, TN, United States
10:08
NG003-03
Extending Ensemble Kalman Filter Algorithms to Assimilate Observations with an Uncertain Observation Time (700332)
Jeffrey L Anderson, University Corporation for Atmospheric Research, Boulder, CO, United States and Elia Gorokhovsky, California Institute of Technology, Computing and Mathematical Sciences, Pasadena, CA, United States
10:12
NG003-04
A Particle Flow method for high-dimensional atmospheric applications (719602)
Chih-Chi Hu, Colorado State University, Atmospheric Sciences, Fort Collins, CO, United States and Peter Jan van Leeuwen, Colorado State University, Atmospheric Science, Fort Collins, CO, United States
10:16
NG003-05
Fast high-rank Hessian approximation for Bayesian ice sheet inverse problems (768092)
Nick Alger1, Noemi Petra2 and Omar Ghattas1, (1)University of Texas at Austin, Oden Institute for Computational Engineering and Sciences, Austin, TX, United States, (2)University of California Merced, School of Natural Sciences, Merced, CA, United States
10:20
NG003-06
Optimizing the Ensemble Kalman Filter for Novel Applications in Volcanology (705497)
John Albright, University of Illinois at Urbana Champaign, Urbana, IL, United States and Patricia M Gregg, University of Illinois at Urbana-Champaign, Urbana, IL, United States
10:24
NG003-07
A New Implicit Equal-Weights Particle Filter for High Dimensional Non-linear Data Assimilation (735558)
Polly Smith, University of Reading, Meteorology, Reading, RG6, United Kingdom and Peter Jan van Leeuwen, University of Reading, Meteorology, Reading, United Kingdom; Colorado State University, Atmsopheric Science, Fort Collins, United States
10:28
NG003-08
New Insights Into Atmospheric Predictability From Global High-resolution Non-hydrostatic Simulations And The New-generation Geostationary Satellite Observations (745152)
Da Fan1, Fuqing Zhang1, Steven J Greybush1, Yinghui Lu2 and Xingchao Chen3, (1)Pennsylvania State University Main Campus, University Park, PA, United States, (2)Pennsylvania State University Main Campus, University Park, United States, (3)Pennsylvania State University Main Campus, Meteorology and Atmospheric Sciences, University Park, PA, United States
10:32
Questions and Answers
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