NG002
Advances in Data Assimilation, Predictability, and Uncertainty Quantification II Posters

Monday, 14 December 2020: 04:00-20:59
Poster
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, University of Michigan Ann Arbor, Ann Arbor, MI, United States and Matthias Morzfeld, Scripps Institution of Oceanography, La Jolla, CA, United States
OSPA Liaison:  Matthias Morzfeld, Scripps Institution of Oceanography, La Jolla, CA, United States
 
Can Short and Partial Observations Reduce Model Error and Facilitate Machine Learning Prediction? (666814)
Nan Chen, University of Wisconsin-Madison, Madison, United States
 
Using Multilevel Monte Carlo methods with XBeach to assess erosion/flood risk in the coastal zone (666932)
Mariana Clare, Imperial College London, London, SW7, United Kingdom, Colin Cotter, Imperial College London, Mathematics, London, United Kingdom and Matthew D Piggott, Imperial College London, London, United Kingdom
 
Assessing the Impact of Assimilating Lagrangian Surface Drifters during the Gulf of Mexico Grand Lagrangian Deployment (GLAD) (670599)
Luyu Sun, University of Maryland College Park, College Park, MD, United States, Stephen G Penny, Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States and Matt Harrison, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
 
Uncertainty Quantification of Moment Tensor Inversions due to Earth Model Uncertainty (671907)
Leiph A Preston and Christian Poppeliers, Sandia National Laboratories, Albuquerque, NM, United States
 
A Stochastic ENSO Model for State Estimation, Uncertainty Quantification and Prediction (677110)
Ludovico Theo Giorgini1, Nan Chen2, Woosok Moon1 and John S. Wettlaufer3, (1)Stockholm University, Stockholm, Sweden, (2)University of Wisconsin-Madison, Madison, United States, (3)Yale University, New Haven, CT, United States
 
A Comparison of Three Ensemble Kalman Filters Using a Thousand-Member AGCM Ensemble (682327)
Benjamin K Johnson1, Moha El Gharamti1 and Ibrahim Hoteit2, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)King Abdullah University of Science and Technology, Division of Physical Science and Engineering, Thuwal, Saudi Arabia
 
Machine learning with non-Gaussian Data Assimilation (682648)
Steven J Fletcher, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
 
l1 regularization for Ensemble Kalman Inversion (682748)
Yoonsang Lee, Dartmouth College, Hanover, NH, United States
 
Randomized tensor decomposition for large-scale data assimilation problems (689273)
Mingliang Liu and Dario Grana, University of Wyoming, Laramie, WY, United States
 
Localization for MCMC: sampling high-dimensional posterior distributions with local structure (698676)
Matthias Morzfeld, Scripps Institution of Oceanography, La Jolla, CA, United States, Youssef Marzouk, Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, Cambridge, MA, United States and Xin Tong, Georgia Institute of Technology, Civil and Environmental Engineering, Atlanta, GA, United States
 
Ensemble Riemannian Data Assimilation over the Wasserstein Space (700799)
Sagar Kumar Tamang1, Ardehsir Ebtehaj1, Peter Jan van Leeuwen2, Dongmian Zou3 and Gilad Lerman4, (1)University of Minnesota Twin Cities, Civil, Environmental, and Geo-Engineering, Minneapolis, MN, United States, (2)Colorado State University, Atmospheric Science, Fort Collins, CO, United States, (3)Duke Kunshan University, Suzhou, China, (4)University of Minnesota Twin Cities, School of Mathematics, Minneapolis, MN, United States
 
Improving Prediction Capability in Machine Learning via Spatial Wavenumber Analyses of Observational and Training Datasets (705704)
Jordan H Graw1, Warren T Wood2 and Benjamin J Phrampus1, (1)US Naval Research Laboratory, Washington, DC, United States, (2)Naval Research Laboratory, Stennis Space Ctr, MS, United States
 
Uncertainty Quantification for Magnetic Field Maps and Models (710068)
Richard Saltus, University of Colorado at Boulder, Boulder, CO, United States, Brian Meyer, CIRES, Boulder, CO, United States, Arnaud Chulliat, National Geophysical Data Center, Boulder, CO, United States and Christopher Amante, Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States
 
Optimal Experimental Design of Sensor Locations in EnKF Data Assimilation for Predicting Oceanic Rogue Waves (715967)
Xun Huan, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Guangyao Wang, University of Michigan, Naval Architecture and Marine Engineering, Ann Arbor, MI, United States, Wanggang Shen, University of Michigan, Mechanical Engineering, Ann Arbor, MI, United States and Yulin Pan, University of Michigan Ann Arbor, Ann Arbor, United States
 
Data assimilation strategy developed to reproduce the dynamics of the Earth radiation belts (723120)
Vincent Fabien Maget1, Martin Sabathier Sr.1, Olivier Pannekoucke2 and Sebastien A Bourdarie1, (1)ONERA Toulouse, Toulouse Cedex 04, France, (2)CERFACS European Centre for Research and Advanced Training in Scientific Computation, Toulouse Cedex 01, France
 
Optimal Design of Hydrometric Station Networks Based on Complex Network Analysis (726923)
Ankit Agarwal1, Norbert Marwan2, Rathinasamy Maheswaran3, Ugur Öztürk2, Jurgen Kurths4 and Bruno Merz5, (1)Indian Institute of Technology Roorkee, Hydrology, Roorkee, India, (2)Potsdam Institute for Climate Impact Research, Potsdam, Germany, (3)MVGR College of Engineering, Civil Engineering Department, Vizianagaram, India, (4)Potsdam Institute, Potsdam, Germany, (5)GFZ German Research Centre for Geosciences, Potsdam, Germany
 
Assessment of Equivalence Problem by Joint Hybrid Global Inversion of 1D MT and DC Resistivity and Using Integral Equations of MT for Cost Function (728982)
Kuldeep Sarkar, Indian Institute of Technology Dhanbad, Dhanbad, India and Upendra Kumar Singh, Indian School of Mines, Department of Applied Geophysics, Dhanbad, India
 
Synthesis of Alternative Equations of Subsurface Resistivity with Meta Heuristic PSO Technique for Layered Earth MT Data Inversion (728984)
Mukesh Mukesh, Dhanbad, JHARKHAND, India, Kuldeep Sarkar, Indian Institute of Technology Dhanbad, Dhanbad, India and Upendra Kumar Singh, Indian School of Mines, Department of Applied Geophysics, Dhanbad, India
 
Effects of Misspecified Time-correlated Model Error in the (Ensemble) Kalman Smoother (729593)
Haonan Ren1, Javier Amezcua2 and Peter Jan van Leeuwen2, (1)University of Reading, Reading, RG6, United Kingdom, (2)University of Reading, Meteorology, Reading, United Kingdom
 
Estimation and Forecasting of Seismic Cycles using a Fault-Slip Model with Uncertain Parameters - Implications for Data Assimilation (731173)
Arundhuti Banerjee, Delft University of Technology, Delft, Netherlands, Femke C Vossepoel, Delft University of Technology, Geoscience and Engineering, Delft, Netherlands and Ylona van Dinther, Utrecht University, Earth Sciences, Utrecht, Netherlands
 
Assessment of borehole Nuclear Magnetic Resonance data of gas hydrate bearing sediments using neural network technique in eastern Indian offshore (740833)
Amrita Singh, Hyderabad, TELANGANA, India and Maheswar Ojha, CSIR-National Geophysical Research Institute, Hyderabad, Deep Seismic, Hyderabad, India
 
A local ensemble transform Kalman filter data assimilation for a regional Eulerian level set wildfire model (743860)
Xiaoxu Tian, University of Maryland College Park, College Park, MD, United States, Kayo Ide, University of Maryland, College Park, MD, United States and Christopher Lautenberger, Reax Engineering, Inc, Berkeley, CA, United States
 
Chaotic Analysis of Hydro-meteorological Variables for Monsoon Season in the Savitri River Basin, India (744276)
Namitha Saji, Namithaelza@Gmail.Com, Department of Civil Engineering, Powai, India, V Jothiprakash, Indian Institute of Technology Bombay, Department of Civil Engineering, Mumbai, India and Bellie Sivakumar, Indian Institute of Technology Bombay, Powai, Department of Civil Engineering, Mumbai, India
 
Exploring High-Dimensional Applicability of the Particle Filter in Increasingly Complex Systems – A Case Study for Compacting Reservoir and Subsidence. (745128)
Samantha S.R. Kim1, Femke C Vossepoel2 and Ramon F Hanssen1, (1)Delft University of Technology, Delft, Netherlands, (2)Delft University of Technology, Geoscience and Engineering, Delft, Netherlands
 
Development and application of a tropospheric-stratospheric adjoint to identify the ozone-neutral aircraft cruise altitude (750680)
Thibaud Fritz1, Irene Constantina Dedoussi2,3, Sebastian David Eastham4 and Steven R H Barrett4, (1)Massachusetts Institute of Technology, Cambridge, MA, United States, (2)Massachusetts Institute of Technology, Aeronautics and Astronautics, Cambridge, MA, United States, (3)Delft University of Technology, Faculty of Aerospace Engineering, Delft, Netherlands, (4)Massachusetts Institute of Technology, Laboratory for Aviation and the Environment, Cambridge, MA, United States
 
Bayesian Inference to infer causal structures (754809)
Nachiketa Chakraborty1, Peter Jan van Leeuwen2, Michael DeCaria2 and Manuel A Pulido3, (1)University of Reading, Meteorology, Reading, RG6, United Kingdom, (2)Colorado State University, Atmospheric Science, Fort Collins, CO, United States, (3)University of Reading, Meteorology, Reading, United Kingdom
 
Parallel joint inversion of three-dimensional DC resistivity and seismic travel-time data with cross-gradient constraints (756836)
Yue Zhu1, Piyoosh Jaysaval1, Timothy Johnson2 and Zhuanfang Fred Zhang1, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratories, Richland, WA, United States
 
Flow-Driven Compression of a Soft Porous Medium with Friction (762687)
Tyler Lutz, John S. Wettlaufer and Larry Wilen, Yale University, New Haven, CT, United States
 
Model Bias Correction for Ionospheric Data Assimilation (764663)
Eric Kostelich1, Juan Durazo2 and Alex Mahalov1, (1)Arizona State University, Tempe, AZ, United States, (2)Arizona State University, School of Mathematical and Statistical Sciencs, Tempe, AZ, United States
 
Human Stampede and Crush Fatalities: Size Scaling and Prediction (772393)
Sarah F Tebbens, Wright State University, Department of Physics, Dayton, OH, United States and Tanuj Guha, Luther College, Decorah, IA, United States
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