OM14B:
Advances in Data Assimilation and Uncertainty Quantification for Ocean Forecasting and Analysis I Posters


Session ID#: 27795

Session Description:
Data assimilation and uncertainty quantification are vital for ocean forecasting and reanalysis. They are also widely used for model calibration (including parameter inference) and observation systems design. The challenges in this area are numerous due to the paucity of observations, nonlinear dynamics and interactions at multiple spatio-temporal scales, involved numerical dimensions, and also uncertainties due to the resolution of physical processes, parameterizations, and inputs. The goal of this session is to bring together researchers working on the development and applications of ocean data assimilation and uncertainty quantification to discuss recent advances in the field. Contributions concerning the following issues are of particular interest:

- New technical developments and original applications of ocean data assimilation and uncertainty quantification

- Pushing the limits of predictability, through stochastic parameterization and in term of targeting submesoscales and extended forecasting windows

- Coupled data assimilation, including ocean-atmosphere, ocean-waves and ocean-biogeochemical systems

- Estimation and uncertainty quantification of ocean models parameters, inputs, and outputs

- Estimating and accounting for ocean models errors

- Assimilation of new datasets and design of observation systems

Primary Chair:  Ibrahim Hoteit, King Abdullah University of Science and Technology, Physical Sciences and Engineering, Thuwal, Saudi Arabia
Co-chairs:  Mohamed Iskandarani, University of Miami, Rosenstiel School of Marine, Atmospheric and Earth Science, Miami, United States, Bruce D Cornuelle, University of California San Diego, Scripps Institution of Oceanography, La Jolla, United States and Matthew Carrier, Naval Research Laboratory, Stennis Space Center, MS, United States
Moderators:  Matthew Carrier, Naval Research Laboratory, Stennis Space Center, MS, United States, Mohamed Iskandarani, University of Miami, RSMAS, Department of Ocean Sciences, Miami, FL, United States and Bruce D Cornuelle, Scripps Institution of Oceanography, La Jolla, United States
Student Paper Review Liaison:  Mohamed Iskandarani, University of Miami, RSMAS, Department of Ocean Sciences, Miami, FL, United States
Index Terms:

1910 Data assimilation, integration and fusion [INFORMATICS]
1990 Uncertainty [INFORMATICS]
4260 Ocean data assimilation and reanalysis [OCEANOGRAPHY: GENERAL]
4263 Ocean predictability and prediction [OCEANOGRAPHY: GENERAL]

Abstracts Submitted to this Session:

Reconstruction of Wave Field and Parameter Estimation Using an Adjoint-Based Data Assimilation Approach (309075)
Jie Wu, St. Anthony Falls Laboratory & University of Minnesota, Department of Mechanical Engineering, Minneapolis, MN, United States and Lian Shen, University of Minnesota, Department of Mechanical Engineering & St. Anthony Falls Laboratory, Minneapolis, United States
Assimilating Inferred Velocity Observations from Float Positions to Improve an Ocean Model’s Prediction Skill (313036)
Scott R Smith1, Dr. Robert William Helber, PhD2, Gregg A. Jacobs3, Charlie N. Barron4 and Matthew Carrier2, (1)U.S. Naval Research Laboratory, Stennis Space Center, United States, (2)U.S. Naval Research Laboratory, Ocean Dynamics and Prediction, Stennis Space Center, United States, (3)US Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, MS, United States, (4)John C. Stennis Space Center, Stennis Space Center, MS, United States
The Copernicus Marine Environment Monitoring Service global ocean 1/12° physical reanalysis GLORYS12V1: description and quality assessment (316853)
Jean-Michel Lellouche1, Olivier Le Galloudec1, Eric Greiner2, Gilles Garric1, Charly Regnier3, Marie Drevillon4, Romain Bourdalle-Badie5, Clement Bricaud1, Yann Drillet6 and Pierre-Yves Le Traon3, (1)Mercator Océan, Ramonville Saint Agne, France, (2)CLS, Ramonville Saint Agne, France, (3)Mercator Ocean International, Toulouse, France, (4)Mercator Océan, Toulouse, France, (5)Mercator Ocean international, Ramonville Saint-Agne, France, (6)Mercator Ocean international, Toulouse, France
The Local Ensemble Transform Kalman Filter for the Global Wave Prediction System at NWS (320536)
Stylianos Flampouris, IMSG/NOAA-NCEP-EMC, College Park, MD, United States and Steve Penny, University of Maryland, College Park, MD, United States
Assimilation of glider profile data in a shelf ocean via multi-scale 4DVAR (321370)
John Joseph Osborne V1, Matthew Carrier2, Jeffrey W Book3, Charlie N. Barron4, Ana E Rice5, Clark David Rowley6, Lucy F Smedstad4, Innocent Souopgui7 and William J. Teague8, (1)Organization Not Listed, Washington, DC, United States, (2)U.S. Naval Research Laboratory, Ocean Dynamics and Prediction, Stennis Space Center, United States, (3)U.S. Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, United States, (4)John C. Stennis Space Center, Stennis Space Center, MS, United States, (5)U.S. Naval Research Laboratory, Stennis Space Center, MS, United States, (6)John C. Stennis Space Center, Oceanography Division, Stennis Space Center, MS, United States, (7)The University of New Orleans, New Orleans, United States, (8)Naval Research Laboratory, Stennis Space Center, MS, United States
The Dynamic Likelihood Filter (213482)
Juan M. Restrepo, Oregon State University, Mathematics, Corvallis, OR, United States
Assimilation of Sea Surface Temperature into a Global HYCOM (308392)
Changxiang Yan1, Jiang Zhu2 and Yueliang Chen1, (1)Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (2)Institute of Atmospheric Physics, Beijing, China
Toward evaluating the Tropical Pacific Observing System using ocean state estimation covering 2010--2013 (309647)
Bruce D Cornuelle1, Ariane Verdy2, Matthew R Mazloff2 and Daniel L Rudnick3, (1)University of California San Diego, Scripps Institution of Oceanography, La Jolla, United States, (2)Scripps Institution of Oceanography, UCSD, La Jolla, United States, (3)Scripps Institution of Oceanography, La Jolla, CA, United States
EVALUATION OF VISIBLE LIGHT TRANSMITTANCE MODELS BASED ON IN SITU DATA (314281)
Maria Laura Zoffoli1, Zhongping Lee1, Michael Ondrusek2, Junfang Lin1, Charles William Kovach3, Jianwei Wei4 and Marlon Lewis5, (1)University of Massachusetts Boston, Boston, MA, United States, (2)NOAA, College Park, United States, (3)University of South Florida, St. Petersburg, FL, United States, (4)University of Massachusetts, Boston, MA, United States, (5)Dalhousie University, Halifax, NS, Canada
Using Ensemble Forecasts for Uncertainty Quantification (314841)
Dale Partridge, University of Hawaii at Manoa, Honolulu, HI, United States and Brian Powell, Univ. of Hawaii, Honolulu, HI, United States
Assessing Impacts of Future In situ Observations for an Integrated and More Sustainable Atlantic Ocean Observing System (AtlantOS) (316549)
Florent Gasparin, LEGOS, Université de Toulouse, (IRD, CNES, CNRS, UPS), Toulouse, France, Mathieu Hamon, Mercator-Ocean, France, Elisabeth D Remy, Mercator Ocean, Ramonville Saint Agne, France, Yann Drillet, Mercator Ocean international, Toulouse, France and Pierre-Yves Le Traon, Mercator Ocean International, Toulouse, France
Fast ocean data assimilation and forecasting using a reduced-space regional ocean model of the North Brazil Current (319329)
César Andrés Quilodrán, Nathan Sparks and Ralf Toumi, Imperial College London, Space and Atmospheric Physics, London, United Kingdom
Effects of optimized model parameter on ENSO using a 4D-variational method in an intermediate coupled model (308102)
Chuan Gao, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China and Rong-hua Zhang, Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China, China
Development of HYCOM-LETKF ocean data assimilation system in support of coupled tropical cyclone forecasts (313693)
Jili Dong, National Centers For Environmental Prediction-Environmental Modeling Center, College Park, MD, United States; IMSG, College Park, MD, United States, Hyun-Sook Kim, IMSG at EMC/NCEP/NOAA, College Park, MD, United States, Stephen Gregory Penny, NOAA Boulder, Boulder, MD, United States and Avichal Mehra, NOAA/NWS/NCEP/EMC, College Park, MD, United States
State estimation comparison for a high-dimensional nonlinear system by particle-based filtering methods (314785)
Sangil Kim, Hankuk University of Foreign Studies, Yongin, Korea, Republic of (South) and Il-Hyo Jung, Pusan National University, Busan, South Korea
Comparison of ocean data assimilation performance using EnKF and EnOI methods in the North Pacific (315039)
Seung-tae Lee, Seoul National University, School of Earth and Environmental Sciences, Seoul, Korea, Republic of (South), Yang-Ki Cho, School of Earth and Environmental Sciences/Research Institute of Oceanography, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea, Jihun Jung, Seoul National University, School of Earth and Environmental sciences, Seoul, Korea, Republic of (South) and Byoung-Ju Choi, Chonnam National University, South Korea
Uncertainty estimates for an ocean/acoustic modeling system (315991)
Tetyana Margolina, Naval Postgraduate School, Department of Oceanography, Monterey, CA, United States, John Joseph, Naval Postgraduate School, Department of Oceanography, Monterey, United States and Brandon Southall, Southall Environmental Associates, Inc., CA, United States
An ensemble optimal interpolation (EnOI) approach within the Data Assimilation Research Testbed (DART) Framework for Eddy-Permitting and -Resolving Data Assimilation (321669)
Frederic S Castruccio1, Alicia R Karspeck2, Benjamin P Kirtman3, Gokhan Danabasoglu4, Jeffrey L Anderson5, Nancy Collins4, Jonathan Hendricks2 and Timothy J Hoar4, (1)NSF National Center for Atmospheric Research, Boulder, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)University of Miami, Miami, FL, United States, (4)NCAR, Boulder, CO, United States, (5)NCAR, Boulder, United States
The Impact of High-resolution, High-frequency Atmospheric Boundary Conditions on Ocean Model Solutions (323677)
Hong Zhang, University of California at Los Angeles, Los Angeles, United States, Dimitris Menemenlis, NASA Jet Propulsion Laboratory, Pasadena, United States and Christopher N Hill, MIT, Cambridge, United States

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