NG31B:
Non-Gaussian and Nonlinear Techniques for Data Assimilation/Fusion, Predictability, and Uncertainty Quantification II Posters

Wednesday, 17 December 2014: 8:00 AM-12:20 PM
Chairs:  Matthias Morzfeld, University of California Berkeley, Berkeley, CA, United States, Anton Kliewer, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, Brian C Ancell, Texas Tech University, Lubbock, TX, United States and Steven J Fletcher, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
Primary Conveners:  Steven J Fletcher, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
Co-conveners:  Brian C Ancell, Texas Tech Univ-Geosciences, Lubbock, TX, United States, Matthias Morzfeld, Lawrence Berkeley National Lab, Oakland, CA, United States and Anton Kliewer, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
OSPA Liaisons:  Steven J Fletcher, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States

Abstracts Submitted to this Session:

3792
 
Displacement Data Assimilation
Juan M Restrepo1, Steven Rosenthal1, Shankar Venkataramani1 and Arthur Mariano2, (1)University of Arizona, Tucson, AZ, United States, (2)RSMAS, Physical Oceanography, Miami, FL, United States
3793
 
A New Method to Estimate the Maximum Sensitivity in Climate Simulation: Nonlinear Ensemble Parameter Perturbation
Xudong Yin1, Bin Wang1,2 and Juanjuan Liu1, (1)Institute of Atmospheric Physics, Beijing, China, (2)Center for Earth System Science, Tsinghua University, Beijing, China
3794
 
A Novel Data Assimilation Methodology for Predicting Lithology Based on Sequence Labeling Algorithms
Eungyu Park1, Jina Jeong1, Weon Shik Han2 and Kue-Young Kim3, (1)Kyungpook National University, Daegu, South Korea, (2)UW-Milwaukee, Milwaukee, WI, United States, (3)Korea Ist Geoscience & Min Res, Daejeon, South Korea
3795
 
Development of a Recursive Prediction Model for Non-Stationary/Non-Gaussian Aquifers through History Curves Matching
Jina Jeong1, Eungyu Park1, Weon Shik Han2 and Kue-Young Kim3, (1)Kyungpook National University, Daegu, South Korea, (2)UW-Milwaukee, Milwaukee, WI, United States, (3)Korea Ist Geoscience & Min Res, Daejeon, South Korea
3796
 
Adjoint Derived Adaptive Observation Network based on the Retrospective Optimal Interpolation
Namkyu Noh and Gyu-Ho Lim, Seoul National University, Seoul, South Korea
3797
 
The application of reduced-rank retrospective optimal interpolation and ensemble retrospective optimal interpolation to WRF
Shinwoo Kim and Gyu-Ho Lim, Seoul National University, Seoul, South Korea
3798
 
The Use of Ensemble-Based Sensitivity with Observations to Improve Predictability of Severe Convective Events
Brian C Ancell, Aaron J Hill and Brock Burghardt, Texas Tech University, Lubbock, TX, United States
3799
 
Uncertainty Response of Physics-Based Atmospheric Models Due to Internal Heating Parameters and Geomagnetic Storms
Richard Linares, University at Buffalo, Buffalo, NY, United States, Humberto C Godinez, Los Alamos National Lab, Los Alamos, NM, United States and Vivek Vittaldev, University of Texas at Austin, Austin, TX, United States
3800
 
RumEnKF: running very large Ensembles Kalman Filter by forgetting what you just did.
Rolf Hut, Delft University of Technology, Delft, Netherlands, Barnabas A. Amisigo, Council for Scientific and Industrial Research (CSIR), Water Research Institute (WRI), Accra, Ghana, Susan C Steele-Dunne, Delft University of Technology, Delft, 5612, Netherlands and Nick Van De Giesen, Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, 5612, Netherlands
3801
 
A Sequential Dynamic Bayesian Network for Pore Pressure Prediction and Quantification of Uncertainty.
Rachel Heather Oughton1, David A Wooff2, Richard W Hobbs2 and Richard E Swarbrick3, (1)University of Durham, Durham, DH1, United Kingdom, (2)University of Durham, Durham, United Kingdom, (3)Swarbrick GeoPressure Consultancy, Durham, United Kingdom
3802
 
Ensemble filtering and forecasting for nonlinear large-dimensional systems
Jonathan Poterjoy, Pennsylvania State University Main Campus, University Park, PA, United States and Fuqing Zhang, Penn State University, University Park, PA, United States
3803
 
Non-Gaussian Based Buddy Check and Gross Error Check Observational Quality Control Measures and Their Impacts on Non-Gaussian Based Data Assimilation Systems.
Steven J Fletcher1, Anton Kliewer2, Andrew S Jones2 and John Michael Forsythe2, (1)Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, (2)Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
3804
 
Observational Non-Gaussian Humidity-Temperature 1DVAR Satellite Retrievals in the West Pacific
John Michael Forsythe1, Anton Kliewer1, Steven J Fletcher2 and Andrew S Jones1, (1)Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, (2)Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
3805
 
Non-Gaussian and Lognormal Characteristics of Temperature and Water Vapor Mixing Ratio
Anton Kliewer1, Steven J Fletcher2, John Michael Forsythe1 and Andrew S Jones2, (1)Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, (2)Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
3806
 
Synthetic Quantitative Tests of Gaussian, Lognormal, and Transform Retrieval Systems
Andrew S Jones1, Anton Kliewer2, Steven J Fletcher1 and John Michael Forsythe2, (1)Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, (2)Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
3807
 
Efficient Nonlinear Low-Order Models in Atmospheric Dynamics
Kevin Grady and Alexander Gluhovsky, Purdue University, West Lafayette, IN, United States
3808
 
A square root approach to incorporating model error in ensemble methods
Patrick Nima Raanes1,2, Alberto Carrassi2 and Laurent Bertino2, (1)University of Oxford, Oxford, 0X1, United Kingdom, (2)Nansen Environmental and Remote Sensing Center, Bergen, Norway
3809
 
Implicit sampling for parameter estimation
Jon Wilkening1, Xuemin Tu2, Matthias Morzfeld1 and Alexandre J Chorin1, (1)University of California Berkeley, Berkeley, CA, United States, (2)University of Kansas, Lawrence, KS, United States
3810
 
Limitations of polynomial chaos in Bayesian parameter estimation
Fei Lu1, Matthias Morzfeld2, Xuemin Tu3 and Alexandre J Chorin2, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)University of California Berkeley, Berkeley, CA, United States, (3)University of Kansas, Lawrence, KS, United States
 
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