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

Session ID#: 4327

Wednesday, 17 December 2014: 8:00 AM-12:20 PM
Poster Hall (Moscone_South)
Chairs:  Matthias Morzfeld, University of California Berkeley, Berkeley, CA, United States, Anton Kliewer, Colorado State University, Cooperative Institute for Research in the Atmosphere @NOAA/OAR/ESRL Global Systems Lab, Boulder, 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 Convener:  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, Scripps Institution of Oceanography, University of California, San Diego, Institute of Geophysics and Planetary Physics, La Jolla, United States and Anton Kliewer, Colorado State University, Cooperative Institute for Research in the Atmosphere @NOAA/OAR/ESRL Global Systems Lab, Boulder, CO, United States
OSPA Liaison:  Steven J Fletcher, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • H - Hydrology
  • OS - Ocean Sciences
Index Terms:

1910 Data assimilation, integration and fusion [INFORMATICS]
3315 Data assimilation [ATMOSPHERIC PROCESSES]
3325 Monte Carlo technique [ATMOSPHERIC PROCESSES]
4468 Probability distributions, heavy and fat-tailed [NONLINEAR GEOPHYSICS]
Virtual Option?: No
Swirl Theme: Characterizing Uncertainty

Abstracts Submitted to this Session:

 
NG31B-3792
Displacement Data Assimilation (7672)
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
 
NG31B-3794
A Novel Data Assimilation Methodology for Predicting Lithology Based on Sequence Labeling Algorithms (12031)
Eungyu Park, Kyungpook National University, Department of Geology, Daegu, Korea, Republic of (South), Jina Jeong, Kyungpook National University, Daegu, Korea, Republic of (South), Weon Shik Han, UW-Milwaukee, Milwaukee, United States and Kue-Young Kim, KIGAM Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea
 
NG31B-3795
Development of a Recursive Prediction Model for Non-Stationary/Non-Gaussian Aquifers through History Curves Matching (12067)
Jina Jeong, Kyungpook National University, Daegu, Korea, Republic of (South), Eungyu Park, Kyungpook National University, Department of Geology, Daegu, Korea, Republic of (South), Weon Shik Han, UW-Milwaukee, Milwaukee, United States and Kue-Young Kim, KIGAM Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea
 
NG31B-3796
Adjoint Derived Adaptive Observation Network based on the Retrospective Optimal Interpolation (28490)
Namkyu Noh and Gyu-Ho Lim, Seoul National University, Seoul, Korea, Republic of (South)
 
NG31B-3797
The application of reduced-rank retrospective optimal interpolation and ensemble retrospective optimal interpolation to WRF (28630)
Shinwoo Kim and Gyu-Ho Lim, Seoul National University, Seoul, Korea, Republic of (South)
 
NG31B-3798
The Use of Ensemble-Based Sensitivity with Observations to Improve Predictability of Severe Convective Events (7396)
Brian C Ancell1, Aaron Hill2 and Brock Burghardt1, (1)Texas Tech University, Lubbock, TX, United States, (2)Texas Tech University, Lubbock, United States
 
NG31B-3800
RumEnKF: running very large Ensembles Kalman Filter by forgetting what you just did. (21270)
Rolf Hut1, Barnabas A. Amisigo2, Susan C Steele-Dunne3 and Nick Van De Giesen3, (1)Delft University of Technology, Water Management, Delft, Netherlands, (2)Council for Scientific and Industrial Research (CSIR), Water Research Institute (WRI), Accra, Ghana, (3)Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands
 
NG31B-3802
Ensemble filtering and forecasting for nonlinear large-dimensional systems (23939)
Jonathan Poterjoy, Pennsylvania State University Main Campus, University Park, PA, United States and Fuqing Zhang, Penn State University, University Park, PA, United States
 
NG31B-3803
Non-Gaussian Based Buddy Check and Gross Error Check Observational Quality Control Measures and Their Impacts on Non-Gaussian Based Data Assimilation Systems. (7953)
Steven J Fletcher, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, Anton Kliewer, Colorado State University, Cooperative Institute for Research in the Atmosphere @NOAA/OAR/ESRL Global Systems Lab, Boulder, CO, United States, Andrew S Jones, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States and John Michael Forsythe, Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, United States
 
NG31B-3804
Observational Non-Gaussian Humidity-Temperature 1DVAR Satellite Retrievals in the West Pacific (6921)
John Michael Forsythe, Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, United States, Anton Kliewer, Colorado State University, Cooperative Institute for Research in the Atmosphere @NOAA/OAR/ESRL Global Systems Lab, Boulder, CO, United States, Steven J Fletcher, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States and Andrew S Jones, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
 
NG31B-3805
Non-Gaussian and Lognormal Characteristics of Temperature and Water Vapor Mixing Ratio (8644)
Anton Kliewer1, Steven J Fletcher2, John Michael Forsythe3 and Andrew S Jones2, (1)Colorado State University, Cooperative Institute for Research in the Atmosphere @NOAA/OAR/ESRL Global Systems Lab, Boulder, CO, United States, (2)Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, (3)Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, United States
 
NG31B-3806
Synthetic Quantitative Tests of Gaussian, Lognormal, and Transform Retrieval Systems (8903)
Andrew S Jones1, Anton Kliewer2, Steven J Fletcher1 and John Michael Forsythe3, (1)Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, (2)Colorado State University, Cooperative Institute for Research in the Atmosphere @NOAA/OAR/ESRL Global Systems Lab, Boulder, CO, United States, (3)Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, United States
 
NG31B-3807
Efficient Nonlinear Low-Order Models in Atmospheric Dynamics (6567)
Kevin Andrew Grady and Alexander Gluhovsky, Purdue University, West Lafayette, IN, United States
 
NG31B-3808
A square root approach to incorporating model error in ensemble methods (15098)
Patrick Nima Raanes1,2, Alberto Carrassi2 and Laurent Bertino2, (1)University of Oxford, Oxford, United Kingdom, (2)Nansen Environmental and Remote Sensing Center, Bergen, Norway
 
NG31B-3809
Implicit sampling for parameter estimation (18815)
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
 
NG31B-3810
Limitations of polynomial chaos in Bayesian parameter estimation (14610)
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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