OM24B:
Advances in Ocean Data Assimilation, Forecasting, and Reanalysis V Posters

Session ID#: 93517

Session Description:
Quantifying and reducing uncertainties in ocean models through data assimilation are essential steps towards accurate oceanic simulations and forecasts. Data assimilation and forecasting products based are now widely used in a variety of applications ranging from guiding maritime transportation, planning recreational activities, and supporting hazard and emergency responses. The challenges in this area are numerous due to the nonlinear dynamics and interactions at multiple spatio-temporal scales, computational burden, and diverse sources of uncertainties in the numerical models and observations. The goal of this session is to provide a forum for presenting and discussing recent developments in ocean data assimilation and forecasting methodologies, applications and assessments. Contributions concerning the following issues are of particular interest:

  • Developments of new data assimilation methodologies;
  • New developments, assessments and original applications of ocean data assimilation, operational and reanalysis systems;
  • Pushing the limits of prediction skill, through stochastic parameterizations and accounting for model errors;
  • Coupled data assimilation, including ocean-atmosphere and ocean-biogeochemical systems;
  • Estimation and uncertainty quantification of ocean model parameters, inputs, and outputs;
  • Assimilation of new datasets and design of observation systems.
Co-Sponsor(s):
  • IS - Ocean Observatories, Instrumentation and Sensing Technologies
  • PL - Physical Oceanography: Mesoscale and Larger
  • PS - Physical Oceanography: Mesoscale and Smaller
Primary Chair:  Ibrahim Hoteit, King Abdullah University of Science and Technology (KAUST), Department of Earth Sciences and Engineering, Thuwal, Saudi Arabia
Co-chairs:  Mohamed Iskandarani, University of Miami, Rosenstiel School of Marine, Atmospheric and Earth Science, Miami, United States, Zhijin Li, JPL, Pasadena, CA, United States and Aneesh Subramanian, University of Colorado at Boulder, Department of Atmospheric and Oceanic Sciences, Boulder, United States
Primary Liaison:  Ibrahim Hoteit, King Abdullah University of Science and Technology (KAUST), Department of Earth Sciences and Engineering, Thuwal, Saudi Arabia
Moderators:  Ibrahim Hoteit, King Abdullah University of Science and Technology (KAUST), Department of Earth Sciences and Engineering, Thuwal, Saudi Arabia, Mohamed Iskandarani, University of Miami, Rosenstiel School of Marine, Atmospheric and Earth Science, Miami, United States, Zhijin Li, JPL, Pasadena, CA, United States and Aneesh Subramanian, University of Colorado at Boulder, Department of Atmospheric and Oceanic Sciences, Boulder, United States
Student Paper Review Liaison:  Ibrahim Hoteit, King Abdullah University of Science and Technology (KAUST), Department of Earth Sciences and Engineering, Thuwal, Saudi Arabia

Abstracts Submitted to this Session:

 
Impact of Assimilating Simulated Surface Velocity from a Wide Swath Satellite (640532)
Scott R Smith1, Robert William Helber2, John Osborne1, Joseph Matthew D'Addezio2, Matthew Carrier2, Innocent Souopgui3, Alexis LaRosa4, Charlie N. Barron5 and Gregg A. Jacobs6, (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)University of Southern Mississippi, Department of Marine Science, Slidell, LA, United States, (4)Science & Engineering Apprenticeship Program, Stennis Space Center, MS, United States, (5)U.S. Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, MS, United States, (6)US Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, MS, United States
 
Computationally efficient modeling and data assimilation of near-surface variability (643623)
Santha Akella, NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, United States
 
A High-Resolution Ocean, Wave and Atmosphere Model of the Maritime Continent: Reanalysis and Prediction (644859)
Frank Colberg1, Gary B Brassington2, Saima Aijaz1, Pavel Sakov3, Stefan Zieger1, Gary Dietchmayer1, Wenming Lu1, Gregory L Roff1 and Zhian Sun1, (1)Bureau of Meteorology, Melbourne, VIC, Australia, (2)Bureau of Meteorology, Darlinghurst, NSW, Australia, (3)Bureau of Meteorology, Hobart, TAS, Australia
 
An LETKF-based ocean reanalysis for the Asia-Oceania region using Himawari-8 SSTs and SMOS/SMAP SSS (644889)
Shun Ohishi1, Tsutomu Hihara2, Hidenori Aiki3, Joji Ishizaka3, Yasumasa Miyazawa2 and Misako Kachi4, (1)RIKEN Center for Computational Science, Kobe, Japan, (2)JAMSTEC, Application Laboratory, Yokohama, Japan, (3)Nagoya University, Nagoya, Japan, (4)Japan Aerospace Exploration Agency, Earth Observation Research Center, Tsukuba, Japan
 
A Numerical Study of the Setting Method of System Error in Data Assimilation for Inner Bay (644904)
Yoshitaka Matsuzaki, Port and Airport Research Institute, Yokosuka, Japan and Tetsunori Inoue, Port and Airport Research Institute, Kanagawa, Japan
 
Development of the next-generation operational global ocean data assimilation system in JMA (645010)
Shiro Ishizaki1, Yosuke Fujii2, Ichiro Ishikawa3, Takuma Yoshida4, Shoji Hirahara1, Yukimasa Adachi1, Yutaro Kubo1 and Takuya Komori4, (1)Japan Meteorological Agency, Tokyo, Japan, (2)Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan, (3)Meteorological Research Inst, Tsukuba, Japan, (4)Numerical Prediction Development Center, Japan Meteorological Agency, Tsukuba, Japan
 
Exploration of the Drift Motion Characteristics of Typical Chinese Offshore Fishing Vessels (645610)
Lin Mu, Shenzhen University, College of Life Sciences and Oceanography, Shenzhen, China and Haiwen Tu, China University of Geosciences, College of Marine Science and Technology, Wuhan, China
 
Computational Performance Analysis of JEDI-based Sea Ice Ocean Coupled Assimilation (SOCA) System: CICE6 (645912)
Jong Kim, IMSG/NOAA-NCEP-EMC, College Park, MD, United States, Guillaume Vernires, JCSDA/UCAR/NOAA, College Park, United States and Stylianos Flampouris, IMSG/NOAA-NCEP-EMC, College Park, United States
 
Evaluating the GECCO3 1948-2018 Ocean Synthesis - a configuration for initalizing the MPI-ESM climate model (646393)
Armin Koehl, University of Hamburg, Institute of Oceanography, Hamburg, Germany
 
Designing an optimal strategy for GMAO S2S ensemble forecast. (646825)
Anna Borovikov, Science Systems and Applications, Inc., NASA/GMAO, Lanham, MD, United States, Robin M Kovach, NASA, GSFC, Greenbelt, MD, United States, Siegfried D Schubert, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Young-Kwon Lim, NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, MD, United States and Andrea Molod, Global Modeling and Assimilation Office, NASA GSFC, Greenbelt, United States
 
Characterizing Buoy Wind Speed Error in High Wind Conditions (647336)
Ethan Wright, Florida State University, EOAS, Tallahassee, FL, United States and Mark A Bourassa, Florida State Univ, Center for Ocean-Atmospheric Prediction Studies, Tallahassee, United States
 
Circulation at South China Sea based on the 15-year NCOM East Asian Seas Reanalysis (647667)
Dong S Ko, Naval Research Laboratory, Ocean Sciences Divison, Stennis Space Center, MS, United States and Paul Martin, Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, MS, United States
 
Comparison of Regional Performance between EnKF and EnOI in the North Pacific (649060)
Seung-tae Lee, Seoul National University, School of Earth and Environmental Sciences, Seoul, Korea, Republic of (South), Yang-Ki Cho, Seoul National University, School of Earth and Environmental Sciences, Seoul, South Korea, Jihun Jung, Seoul National University, School of Earth and Environmental sciences, Seoul, Korea, Republic of (South), Byoung-Ju Choi, Chonnam National University, Department of Oceanography, South Korea, Young Ho Kim, Pukyong National University, Busan, South Korea and Sangil Kim, Pusan National University, South Korea
 
A hierarchical operational regional ocean forecasting system off the Korean peninsula (649110)
Youngjin CHOI1, Kihang Youn1, Gwang-Ho Seo2 and Seok Jae Kwon2, (1)GeoSystem Research, Corp., Gunpo, South Korea, (2)Korea Hydrographic and Oceanographic Agency, Busan, South Korea
 
Enhancing Ensemble Data Assimilation into One-Way-Coupled Models with One-Step-Ahead-Smoothing (649619)
Naila Raboudi, KAUST, Earth Sciences and Engineering, Thuwal, Saudi Arabia, Boujemaa Ait-El-Fquih, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, Aneesh Subramanian, Scripps Institution of Oceanography, Center for Western Weather and Water Extremes (CW3E), La Jolla, CA, United States and Ibrahim Hoteit, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
 
High Resolution Water Quality Information Services at Sea for Ports and Aquaculture* (650367)
Anna Spinosa, Delft University of Technology, Delft, Netherlands, Ghada El Serafy, Deltares, ZKS, Delft, Netherlands, Sonja Wanke, Deltares, Netherlands and Sandra Gaytan Aguilar, Deltares, Delft, Netherlands
 
Bayesian Inference and Markov Chain Monte Carlo Sampling for Lagrangian Particle Tracking in the Ocean (650448)
Ibrahim Hoteit, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, Samah El Mohtar, King Abdullah University of Science and technology, Division of Physical Science and Engineering, Thuwal, Saudi Arabia and Omar M Knio, King Abdullah University of Science and Technology, Division of Computer, Electrical and Mathematical Science and Engineering, Thuwal, Saudi Arabia
 
A new boundary small eddy additions technique improves long-term integration results of one-way nested regional ocean model (650516)
Jin Hwan Hwang1, Sy Van Pham2 and Dong Hyeon Kim1, (1)Seoul National University, Department of Civil & Environmental Engineering, Seoul, Korea, Republic of (South), (2)Seoul National University, Department of Civil & Environmental Engineering, Seoul, South Korea
 
Implementation of multidomain Unified Forward Operators (UFO) within the Joint Effort for Data assimilation Integration (JEDI): Ocean applications (652284)
Hamideh Ebrahimi, JCSDA/ GMAO, Greenbelt, MD, United States, Guillaume Vernires, JCSDA/UCAR/NOAA, College Park, United States, Rahul Mahajan, NASA/GMAO, Greenbelt, MD, United States, Travis Cole Sluka, JCSDA/UCAR, Boulder, United States and Daniel Holdaway, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Fast Non-Localized Equal-Weight Particle Filters for Nonlinear Data Assimilation (653260)
Polly Smith1, Peter Jan van Leeuwen2, Javier Amezcua2 and Jacob Skauvold3, (1)University of Reading, Meteorology, Reading, RG6, United Kingdom, (2)University of Reading, Meteorology, Reading, United Kingdom, (3)Norwegian University of Science and Technology, Norway
 
An Assessment of Forecasting Skill for GOFS 3.1 and Three Configurations of RNCOM in the Vicinity of Hawaii (653864)
Dara D Cadden-Kelly, Fleet Numerical Meteorology and Oceanography Center, Modeling & Forecasting, Monterey, CA, United States
 
Data Assimilative Modeling Investigation of Gulf Stream Dynamics Along the U.S. East Coast Seaboard (656846)
Shun Mao, North Carolina State University, Department of Marine, Earth, and Atmospheric Sciences, Raleigh, United States, Ruoying He, North Carolina State University, Marine, Earth, and Atmospheric Sciences, Raleigh, United States, John Bane, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, Glen Gawarkiewicz, Woods Hole Oceanographic Institution, Woods Hole, MA, United States and Robert E Todd, Woods Hole Oceanographic Institution, Physical Oceanography, Woods Hole, MA, United States
 
A surrogate-aided approach for wave predictions in the Gulf of Mexico (656866)
Azadeh Razavi Arab, University of Southern Mississippi, Department of Marine Science, Stennis Space Center, United States
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